HomeMy WebLinkAboutTICC 03-04-2026 Youtube and Zoom TranscriptWEBVTT
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Speaker 2 (Quinlan Conf Room): Bring in the leadership.
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Speaker 2 (Quinlan Conf Room): Roll call? Yep.
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Speaker 2 (Quinlan Conf Room): Protocol.
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Quinlan Conf Room: Commissioner Dante? Present.
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Speaker 2 (Quinlan Conf Room): Commissioner Garr Commissioner Shearan?
Present. Vice Chair Kumar? Present.
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Quinlan Conf Room: Chair Mulhati? President. President, Commissioner
Garg-Abson.
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Quinlan Conf Room: here through wallet units.
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Quinlan Conf Room: Oh, yeah, okay.
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Quinlan Conf Room: Let's two minutes.
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Quinlan Conf Room: Not…
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Speaker 1 (Quinlan Conf Room): Anyways, I'm talking…
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Speaker 1 (Quinlan Conf Room): So the first one was pretty simple.
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Speaker 1 (Quinlan Conf Room): Terry, I've got a question for you. The
first one, since this was a special meeting.
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Speaker 1 (Quinlan Conf Room): Do you think there's no need to put any
action items or anything, any detail about what we discussed?
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Speaker 1 (Quinlan Conf Room): No. Okay. No. We don't need to. We have
the video.
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Speaker 1 (Quinlan Conf Room): I think it's about our normal level of
detail.
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Speaker 1 (Quinlan Conf Room): Again, I'll pass the motion to approve,
the December 19th minutes.
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Speaker 1 (Quinlan Conf Room): I'll second that.
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Quinlan Conf Room: In both.
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Speaker 1 (Quinlan Conf Room): All right, Commissioner Domte?
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Speaker 1 (Quinlan Conf Room): Approved.
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Speaker 1 (Quinlan Conf Room): Commissioner Bark?
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Speaker 9 (Quinlan Conf Room): We are going with those negative ones?
Yeah.
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Speaker 1 (Quinlan Conf Room): This is minutes submitting for December
19th. There are 2 minutes.
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Quinlan Conf Room: Can I just say abstain because I didn't read it.
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Speaker 1 (Quinlan Conf Room): Okay.
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Speaker 1 (Quinlan Conf Room): Those are fast? That works? Yeah.
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Speaker 1 (Quinlan Conf Room): Commissioner Sharon? Approved. Vice Chair
Kumark? Approved.
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Speaker 2 (Quinlan Conf Room): Chairmany? Motion carries with
Commissioner Vargas.
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Speaker 2 (Quinlan Conf Room): And then, January 17th.
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Speaker 1 (Quinlan Conf Room): I'd like to propose a motion to approve.
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Speaker 3 (Quinlan Conf Room): the minutes… With a minor correction,
because we ought to do that.
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Speaker 3 (Quinlan Conf Room): On page 10 in the paragraph describing the
Commission's work plan, there's a typo in the middle of one of the
bullets, to be fairly clear. Oh, yes, yep.
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Speaker 3 (Quinlan Conf Room): So I'd like to propose a motion to approve
the meeting, so it's a correction of, where the word 2 types twice.
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Speaker 3 (Quinlan Conf Room): Inside itself.
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Speaker 3 (Quinlan Conf Room): I will second the motions.
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Speaker 3 (Quinlan Conf Room): Sorry, did you say you seconded? Yeah.
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Speaker 3 (Quinlan Conf Room): Voting? Yes.
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Quinlan Conf Room: Alright, Commissioner Domte?
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Quinlan Conf Room: Fisher Gard?
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Speaker 2 (Quinlan Conf Room): Approve.
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Speaker 2 (Quinlan Conf Room): Quotioner Sharon? Approved. Vice Chair
Kumar? Approved. Chairmany? Approved. Motion carries unanimously.
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Quinlan Conf Room: Okay.
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Quinlan Conf Room: Oral Communications.
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Speaker 2 (Quinlan Conf Room): I apologize, it was January 7th.
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Speaker 7 (Quinlan Conf Room): Yep.
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Speaker 1 (Quinlan Conf Room): will abstain. I was not present.
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Speaker 1 (Quinlan Conf Room): Okay.
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Quinlan Conf Room: Maybe one for organic obligations?
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Quinlan Conf Room: Mmm… We have no speakers to share.
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Quinlan Conf Room: Okay, so we go to Microsoft presentation.
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Speaker 9 (Quinlan Conf Room): We can go around productions and stocks.
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Speaker 1 (Quinlan Conf Room): How did you mix… We do, we have. Nearly
unanimously.
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Quinlan Conf Room: in that, I feel like.
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Speaker 4 (Quinlan Conf Room): We've done a good job, although, Mukesh, I
don't think we had a chance, so on behalf of the Microsoft team, I'm
happy to kind of kick us off and
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Speaker 4 (Quinlan Conf Room): If we can get started. Spencer, do you
want to start? We'll work our way forward. Sure. Hi everyone, good to
meet everyone. I'm Spencer Fee, I'm with Microsoft. I am an AI work…
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Speaker 5 (Quinlan Conf Room): Specialist.
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Speaker 5 (Quinlan Conf Room): That's a fancy title for supporting your
Microsoft Office 365 and Microsoft 365 environment, from a productivity
core application standpoint, so Office, Excel, all of the collaboration
apps. And as well, that comes with Microsoft 365 Copilot, which, we're
gonna dive into shortly here, which is our genetic
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Speaker 5 (Quinlan Conf Room): So, been with Microsoft now for going on 4
years, and then plus a number of years as a vendor to Microsoft, and
based out of Seattle, Washington.
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Speaker 5 (Quinlan Conf Room): So… What is your last name again?
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Speaker 3 (Quinlan Conf Room): Desert Feet, F-E-E.
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Speaker 3 (Quinlan Conf Room): Yes.
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Speaker 3 (Quinlan Conf Room): Yeah, so excited.
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Speaker 5 (Quinlan Conf Room): to be with everyone, and I'll pass it over
to Monica. Yeah. Hi, everybody. Monica French.
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Speaker 6 (Quinlan Conf Room): My role is U.S. Small Business Sales
Director for Microsoft. So within small business, the reason I'm here
small are within the group of small business teams, so, so we have an
amazing team from different areas that are here to support you.
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Speaker 6 (Quinlan Conf Room): And one year at Microsoft, but also came
from LinkedIn, so I have a diverse background in HR and tech in
particular, and startups. So, just excited to learn more about what your
priorities are, and pain points, and how we can better support you.
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Speaker 6 (Quinlan Conf Room): You're feeling wrong, so that was like…
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Speaker 2 (Quinlan Conf Room): Aye, San Diego. San Diego.
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Speaker 6 (Quinlan Conf Room): Someone close, but same team.
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Speaker 4 (Quinlan Conf Room): And, good evening, folks. My name is Rick
Joyer. I am a… my internal jargon title is Cloud and AI Platform
Director, in our U.S. State, Local, and higher education market.
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Speaker 4 (Quinlan Conf Room): I'm based in the Sacramento area, as some
of you heard during the small talk portion of tonight. I've been at
Microsoft for 14 years. Up until this year, all of the entirety of that
14 years was spent working in the state and local market.
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Speaker 4 (Quinlan Conf Room): I've been serving in the last year… last
10 years.
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Speaker 4 (Quinlan Conf Room): On our cloud platform, Azure. So,
infrastructure, platform as a service, and now, growingly, platform as a
service capabilities, which includes AI and, services like Foundry, which
I know the city's been investing in.
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Speaker 4 (Quinlan Conf Room): And, my very first role, here at Microsoft
was working as the all-up product, what we would call an account exec, so
the ultimate relationship holder with
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Speaker 4 (Quinlan Conf Room): City of San Jose, Santa Clara County, so
I'm familiar. Lindsay, you mentioned Santa Cruz, Santa Cruz County, so I
was out in Salinas a fair bit.
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Speaker 4 (Quinlan Conf Room): all the way over to Tulare County in
Visalia, up in Sacramento and Solano, so I was tapped in to help with the
conversation today to bring some relevance into cities, counties, and how
are we taking what Microsoft is doing at a corporate level.
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Speaker 4 (Quinlan Conf Room): And how we serve…
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Speaker 4 (Quinlan Conf Room): are really mega customers, the Walmarts
and the Home Depots and the Coca-Cola's, but what does that actually look
like for us in public sector? And specifically, what are we seeing across
cities and counties and states?
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Speaker 4 (Quinlan Conf Room): I've been working very directly with the
state of California since I'm in the Sacramento area, you can imagine.
And, so I'm trying to bring some relevance to how do we translate use
cases that tend to be marketed towards
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Speaker 4 (Quinlan Conf Room): not cities, not counties, not government
entities, to what are we seeing as the real-world applications here. And
so, that's kind of the role I'm hoping to be able to play.
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Speaker 4 (Quinlan Conf Room): You know, Prabhir, you brought us,
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Speaker 4 (Quinlan Conf Room): kind of the initial inquiry here, and I
thought I would just set the stage before we turn over to Spencer for a
little bit. You know, a lot of what we heard from you guys, I shared with
those of you on the prep call.
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Speaker 4 (Quinlan Conf Room): Sounds like you all are actually pretty
advanced relative to a lot of your peers, especially in your size
segment. You know, what I would characterize as a smaller city entity by
employee count.
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Speaker 4 (Quinlan Conf Room): marquee name, big tech companies here.
It's not surprising. You see a lot of that, going around in terms of
Silicon Valley, you guys being advanced.
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Speaker 4 (Quinlan Conf Room): But there's a lot of bigger cities who
aren't nearly as far along as you guys are, who have more resources than
what, as someone who's brand new to learning about you all, what I've
been able to ascertain.
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Speaker 4 (Quinlan Conf Room): And I think that's pretty impressive, and
I think, you know, just from a Microsoft point of view, you know, looking
at, you know, the investments that we made across the productivity stack,
and looking at the investments that we made in Foundry to get, ready for
full-blown, custom, pro… what I think of pro-code-built AI capabilities.
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Speaker 4 (Quinlan Conf Room): A lot of what, I think we're gonna try and
get across here today, and the perspective I'll try and bring to the
conversation here, is kind of, how are we seeing patterns of adoption for
success?
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Speaker 4 (Quinlan Conf Room): And, like, I'm thinking about this from… I
joined Microsoft at the tail end of the Steve Ballmer era. And that was
at a point in time
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Speaker 4 (Quinlan Conf Room): Our stock is $26, just to put it in
perspective.
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Speaker 4 (Quinlan Conf Room): And we were dead because we had missed
mobile. You guys have Apple here, you know, you know exactly what
happened.
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Speaker 4 (Quinlan Conf Room): Google was gonna eat our lunch because
they figured out the subscription business, and we were the old, stodgy
Microsoft. We didn't know subscription, we were the OS company only, and
Windows and PC was dying. That was the climate I came into. And what I
started to see is we went into the subscription space with modernizing
Office.
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Speaker 4 (Quinlan Conf Room): across government.
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Speaker 4 (Quinlan Conf Room): were clear patterns of, especially as I
jumped into the Azure role, which I jumped into because I saw it as the
future of Microsoft.
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Speaker 4 (Quinlan Conf Room): What I noticed was, until you had adopted,
or until an organization had adopted SaaS, in our case, Productivity
Suite, O365,
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Speaker 4 (Quinlan Conf Room): I was wasting my time trying to talk to
you about moving your Esri system up into Azure.
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Speaker 4 (Quinlan Conf Room): you needed to get the crawl before you
started to walk, before you run. And I think some of what we're gonna try
and share tonight is
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Speaker 4 (Quinlan Conf Room): One of the blessings and the curses of
working at Microsoft is we have a whole horizontal, soup-to-nuts, in-game
story for AI across a full SaaS experience in Copilot, all the way to a
moderate SaaS experience with Copilot Studio for low-code, no-code.
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Speaker 4 (Quinlan Conf Room): into Foundry, all the way into Pro Code,
ProDev.
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Speaker 4 (Quinlan Conf Room): And there's a lot of ways that we can go,
and one of the challenges when a provider reaches out and says, hey, come
tell us the AI story, you have an hour, each of those can be a multi-hour
conversation in and of itself. So, some of what we're going to try and
get across tonight is.
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Speaker 4 (Quinlan Conf Room): how do you tell the story of crawl, walk,
run with some use cases and demos that we've thought through based on AI
prompts that we went out there and looked at that might be relevant for
Cupertino? And by all means, like, we don't want this to be a monologue,
we want this to be bi-directional, and our intent and goal
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Speaker 4 (Quinlan Conf Room): It's just to get some thought that
triggers follow-on discussions where we could deep dive on the stuff that
will be most applicable for you all.
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Speaker 4 (Quinlan Conf Room): I'll pause there. Does that make sense, or
raise questions, or do you want to steer us differently? Does that kind
of align to what we talked about previously? Yes.
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Speaker 4 (Quinlan Conf Room): Cool. So Spencer, I think that's the part
I agreed to keep in love with. Yeah.
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Speaker 5 (Quinlan Conf Room): I think that's a great… that's a… that's a
home run. So I think with that, I think one thing I did leave out is that
I cover, right, the mid-market space for U.S. public sector, from an AI
workforce standpoint. So I cover about…
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Speaker 5 (Quinlan Conf Room): 90-ish,
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Speaker 5 (Quinlan Conf Room): cities, counties, and so, I too, like
Rick, just, you know, I talk to customers every day. I was actually out
visiting with one last week, so I had just delivered something very
similar, so…
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Speaker 5 (Quinlan Conf Room): I think let's… with that, let's dive in.
So, I think with that, right.
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Speaker 5 (Quinlan Conf Room): I don't necessarily like to keep this,
like, super depth to PowerPoint, but I think because we're in a formal
setting, we're gonna do a little bit of that, and then we're gonna do a
little demo, and again, I think this is a conversation smarter and, you
know, folks thought, and we can have separate follow-up meetings.
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Speaker 5 (Quinlan Conf Room): So, right, the era of AI is here, and it's
already changing the way that it works, right? And across industries,
organizations all over, from the Walmarts all the way down to the mom and
tops, are looking at ways to leverage AI,
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Speaker 5 (Quinlan Conf Room): To help with time-consuming tasks, or very
complex
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Speaker 5 (Quinlan Conf Room): you know, automated tasks as well. But if
we really think about AI, right, it's not necessarily a new thing.
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Speaker 5 (Quinlan Conf Room): You know, AI has been embedded into, like,
features like Editor and Office applications, providing insights and
visualizations in Excel for a long time. Microsoft Teams, right, has
closed captioning. That is all powered by AI. Azure AI cognitive AI,
right? That's all
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Speaker 5 (Quinlan Conf Room): AI, and it's been around for quite some
time.
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Speaker 5 (Quinlan Conf Room): And, you know, even thinking about this in
our personal lives, right, predictive texting, whether we love it or hate
it or whatever,
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Speaker 5 (Quinlan Conf Room): That's AI, right? Our favorite music
application, you know, I was listening to a song or two on the way down
here on the plane, right? It recommends a next song, right? That's all
AI. What is necessarily, you know, in the last two or three years is this
thing called generative.
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Speaker 5 (Quinlan Conf Room): Right? And it's changing, the way that,
you know, I show up to work. It's also changing the way that I come and
look at new recipes, like, that I want to cook. And it's changing the way
that we interact with technology, right? It's thinking about this in
terms of a… more of a conversational mindset, rather than just a
traditional search mindset.
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Speaker 5 (Quinlan Conf Room): So, really quickly, I think…
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Speaker 5 (Quinlan Conf Room): you know, me doing my role and trying to
scale across all my customers, and even just flying down here on the
plane, I did a simple prompt, right, around leveraging Microsoft 365
Copilot, which we'll get into in a little bit.
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Speaker 5 (Quinlan Conf Room): to just ask, right? Ask any AI, right?
Hey, what's the sentiment on AI within Cupertino, or within the, you
know, state of California, right? And whether this is…
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Speaker 5 (Quinlan Conf Room): accurate or not, right, we can discuss,
but it's helping me get directionally aware of what's happening today.
And so that's just a really quick personal example.
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Speaker 5 (Quinlan Conf Room): I'd like to steal this slide from my
solution engineer, and I think it's… it's really hit home for me, in
terms of
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Speaker 5 (Quinlan Conf Room): when we think about technology,
specifically with AI. And so Alvin Toffler, in his 1970 book called
Future Shock, wrote, the illiterate of the 21st century will not be those
who cannot read and write, but those who cannot learn, unlearn, and
relearn.
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Speaker 5 (Quinlan Conf Room): Right, I just want to let that sit for a
second.
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Speaker 5 (Quinlan Conf Room): Change is really hard and is scary, right?
And at Microsoft, and even in my own personal life, I try and adapt to
change, and I can't adapt to everything.
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Speaker 5 (Quinlan Conf Room): But I think this speaks to the growth
mindset that we all have to have
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Speaker 5 (Quinlan Conf Room): when it comes to technology, specifically
with AI, because of how fast it is moving.
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Quinlan Conf Room: So…
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Speaker 5 (Quinlan Conf Room): If Cupertino is like any other of my
customers, there's a couple things that we see, and Rick and the team,
feel free to just jump in, right, across the board in terms of, trends,
within the public sector space.
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Speaker 5 (Quinlan Conf Room): Number one.
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Speaker 5 (Quinlan Conf Room): Right? There's growing expectation among
your citizens to have faster, more efficient, accessible services across
all different departments, and they want everyone at… or everything at
their fingertips. So I think that's number one. Number two is around
employee productivity.
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Speaker 5 (Quinlan Conf Room): And making sure that your talent has the
tools that they need to do the work that they need to have higher
meaning, more meaningful, impactful work. And there's a lot of tools,
lots of different concept switching across the board.
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Speaker 5 (Quinlan Conf Room): And then three, it's around this
overarching notion of what's happening in the public sector space today,
from the federal level all the way down to the local level, in terms of
shrinking budgets, shrinking workforces. How do you keep your talent? How
do you retain that talent? How do you keep folks engaged?
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Speaker 5 (Quinlan Conf Room): So I think those three things are things
that we see commonly across the board, and kind of the opportunity for AI
across the board.
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Speaker 5 (Quinlan Conf Room): I think with that, right, that poses this
kind of notion of what it is to become a frontier.
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Speaker 5 (Quinlan Conf Room): And, and, you know, what does that even
really mean? Right? And so, I think that this…
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Speaker 5 (Quinlan Conf Room): to… to be… to put this a different way, I
think the…
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Speaker 5 (Quinlan Conf Room): the early years of AI, from a Gen AI
standpoint in the last couple of years, have been very focused around
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Speaker 5 (Quinlan Conf Room): Doing the same work, but faster, more
efficient, etc, etc.
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Speaker 5 (Quinlan Conf Room): at Microsoft, we're talking about this
notion of what it is to become frontier, and what frontier transformation
is, right? And so, again, like, thinking about AI from the first early
couple years,
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Speaker 5 (Quinlan Conf Room): even today, right? It's a little bit
scary, right? Is AI gonna take jobs? And I think that is seriously part
of a firm, right? And…
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Speaker 5 (Quinlan Conf Room): But I want to be clear.
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Speaker 5 (Quinlan Conf Room): Our stance around frontier transformation
is different, right? Frontier transformation is not AI transformation.
Frontier transformation is all about unlocking capacity, capability,
creativity, and growth while maintaining trust.
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Speaker 5 (Quinlan Conf Room): And, right, put simply, as our… as Satya
talks about, and Judson talks about, right, AI really needs to do more
for humanity.
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Speaker 5 (Quinlan Conf Room): And so, right, doing some work, leveraging
AI, and again, we can talk about if this is actually relevant or not,
right? How this might align to Cupertino, right, is around fiscal
resilience, right? Increasing small business community engagement.
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Speaker 5 (Quinlan Conf Room): Emergency readiness and community
engagement.
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Speaker 5 (Quinlan Conf Room): And last but not least, right,
transparency and accountability, right? That's all stuff that we could
help today around AI, and we see customers doing with AI today.
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Speaker 5 (Quinlan Conf Room): And so, this notion on screen here around
being frontier
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Speaker 5 (Quinlan Conf Room): like, again, what does that really mean,
right? Frontier organizations, or frontier cities, are… are agencies that
are human-led, and human-led at the core, and that will never change.
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Speaker 5 (Quinlan Conf Room): But, again, as we get into this more
agentic AI scenario, right, there will be agents showing up. And how do
we leverage all of that at our disposal as employees?
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Speaker 5 (Quinlan Conf Room): Okay, Frontier Firm has 3 main things in
common here, right? They buy intelligence like electricity, they put it
to work like… and they compound it like interest.
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Speaker 5 (Quinlan Conf Room): Right?
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Speaker 5 (Quinlan Conf Room): are really…
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Speaker 5 (Quinlan Conf Room): Before I get into this, I'm gonna say we
at Microsoft are really living and breathing this today, and we can talk
about some use cases that, you know, we have in our own personal
examples.
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Speaker 5 (Quinlan Conf Room): But I want people to think about, right,
what does it take to be a frontier city, right? What does frontier
transformation look like for the city of Cupertino?
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Speaker 5 (Quinlan Conf Room): And how do you start to rethink workflows,
budgets, processes, designs to stay ahead, right? What does that look
like as individuals, as leaders.
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Speaker 5 (Quinlan Conf Room): as a team, and as an employee, and how do
we adapt and thrive in this new era of AI, right, and really harness it
and put it to work.
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Speaker 4 (Quinlan Conf Room): Spencer, I'm gonna pause there, just
because I think, one, we've been talking for a little bit, and two, like,
let me try and…
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Speaker 4 (Quinlan Conf Room): So, part of the stage that Spencer's
setting here before we get to, hey, here's some ideas of demos that we've
put together for you guys, based on scenarios we're seeing.
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Speaker 4 (Quinlan Conf Room): Potential scenarios and real ones, right,
is…
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Speaker 4 (Quinlan Conf Room): from our point of view, and I mentioned
the crawl, walk, run journey earlier, like.
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Quinlan Conf Room: As I mentioned earlier.
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Speaker 4 (Quinlan Conf Room): where you guys have mature capabilities,
what I see that's unique here is, because you've already invested with a
partner and you are set up with Fabric, we can execute on a whole
storyline here. What I would propose to think through for you all, going
back to kind of patterns of successful adoption.
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Speaker 4 (Quinlan Conf Room): kind of front of house, back of house
concepts for AI adoption.
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Speaker 4 (Quinlan Conf Room): There's front of house, citizen-facing,
what are the services that we could put forward, that then we could think
through automating
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Speaker 4 (Quinlan Conf Room): And then, how do we take the intelligence
from that to improve services to do things differently, right? So, hey,
Stevens Creek, remodel. Hey, what are we getting? What's public
sentiment? How do we use that then to inform city council members to
think through what's our stance? What do we want to do?
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Speaker 4 (Quinlan Conf Room): Part of this is gonna start with, how do
we…
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Speaker 4 (Quinlan Conf Room): How do we give better capabilities through
the productivity stack that you already have?
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Speaker 4 (Quinlan Conf Room): with things like Copilot to start
internally. Hey, search and summarize. Prabhir sent me a deck a couple
weeks ago. One of the most common use cases for me is, go find it.
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Speaker 4 (Quinlan Conf Room): I used to go sort, look for emails, buy a
per beer, I just tell Copilot, go get me that. Then I tell it, summarize
the meeting minutes. We're looking at videos from Cupertino, hey, what's
the public sentiment? What are the…
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Speaker 4 (Quinlan Conf Room): three things I need to know about that
decisions were made on. These are some of the directions that we're going
to go here. I think where I see firms get to frontier fastest is when you
start internally with that back office side.
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Speaker 4 (Quinlan Conf Room): and then build capability and competence
for how does this work? We're testing with our friendlies, we're building
out a center of excellence for AI adoption, then we're going citizen-
facing services there. So, like, just as we go through this, just that's
kind of conceptually where
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Speaker 4 (Quinlan Conf Room): I would steer you to think through, just
in terms of organizational change management aspects of how we adopt, and
it always starts in-house with us.
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Speaker 4 (Quinlan Conf Room): In my experience, seeing low risk.
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Speaker 4 (Quinlan Conf Room): tolerant organizations, which most cities,
counties, and states are, start with your friendlies, build that
confidence, and go forward. So, sorry, I just… Spencer, I want to connect
some of those dots, because…
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Quinlan Conf Room: Some of this is.
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Speaker 4 (Quinlan Conf Room): Marketing speak, and I'm going to
acknowledge that, but it's setting the table for where do we start
getting into the guts of some of this.
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Speaker 4 (Quinlan Conf Room): Does that make sense?
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Speaker 5 (Quinlan Conf Room): I think that's a perfect segue, right? And
so…
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Speaker 5 (Quinlan Conf Room): I think what Rick is connected to is
really, right, change across the board, and this, right, with that
context in mind, right, this…
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Speaker 5 (Quinlan Conf Room): four-pillar approach is really the
framework that our… the Walmarts all the way down to the S&B mom-and-pop
shops are leveraging, right? Around how do we really enrich your employee
experience, first and foremost.
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Speaker 5 (Quinlan Conf Room): And really, you know, obsolete them in
mundane, free up time for you to then work on more strategic initiatives,
to, again, to reinvent, reshape, and really bend the curve on innovation
across…
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Speaker 5 (Quinlan Conf Room): So, as kind of Rick just shared, right,
thinking about it that way, from both the front and back of the house.
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Speaker 5 (Quinlan Conf Room): I'm not gonna… I'm not gonna spend more
time on that.
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Speaker 5 (Quinlan Conf Room): As Rick kind of pointed out, right, we
have…
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Speaker 5 (Quinlan Conf Room): We back up, right? We have the four-pillar
framework.
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Speaker 5 (Quinlan Conf Room): And then we kind of have this approach
that underpins that.
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Speaker 5 (Quinlan Conf Room): Right? It's around, right, one, front of
house, right? How do we put AI in the flow of human ambition, right? With
employee productivity at the center, right?
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Speaker 5 (Quinlan Conf Room): Then, moving into ubiquitous innovation
across the board, and really, we believe that there is a maker in every
house, so to speak, and then how do we observe, govern that across
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Speaker 5 (Quinlan Conf Room): ecosystem, right? And so, I think at
Microsoft, really, this is our differentiated approach, right? Across the
end-to-end stack.
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Speaker 5 (Quinlan Conf Room): we have a solution for you as a city,
right? Let's talk about, kind of, where you guys want to go, what
challenges you're facing, and then we can come in and figure out and map
towards the products. But we, again, I think it's… it would be remiss if
we talked about Copilot, Copilot Studio Fabric, all in a silent fashion,
right? I think
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Speaker 5 (Quinlan Conf Room): Our differentiated approach is really this
platform approach.
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Speaker 5 (Quinlan Conf Room): And really, across the board, Right? It's
putting AI first and foremost into every single product that we have.
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Speaker 5 (Quinlan Conf Room): And doing that end-to-end securely.
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Speaker 5 (Quinlan Conf Room): as a Microsoft ecosystem, Microsoft
platform.
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Speaker 5 (Quinlan Conf Room): Any… any questions there? Does that make
sense?
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Quinlan Conf Room: Rick, do you have anything to add?
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Speaker 4 (Quinlan Conf Room): Look.
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Speaker 4 (Quinlan Conf Room): How do I query my Microsoft graph on the
far left? Hey, how do I search and find?
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Speaker 4 (Quinlan Conf Room): the documents that are within City of
Cupertino's SharePoint. I'm gonna use that graph.
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Speaker 4 (Quinlan Conf Room): to only be able to access what I can have
access to. So, part of the story that we have that's different from the
others is access to the understanding of what's there in that Microsoft
365 spec.
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Speaker 4 (Quinlan Conf Room): Right? And all of the inherent intentions
and security roles that comes with that. So, Pabir can only see what
Prabir should be able to see as he's querying Copilot.
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Speaker 4 (Quinlan Conf Room): Then having that integration into Copilot
Studio. So I'm gonna find limits for what Copilot does in M365. So I'm
gonna use Studio to start to enhance… put Copilot on steroids to do
additional capabilities.
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Speaker 4 (Quinlan Conf Room): all of that is grounded in fabric, which
you guys have laid the foundation for. So, fabric, when our senior execs
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Speaker 4 (Quinlan Conf Room): When you're with Satya sometimes, the thin
red line that goes through all this is fabric as the underpinning of all
that data for us.
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Speaker 4 (Quinlan Conf Room): That knows you can only have access to
this.
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Quinlan Conf Room: Foundry comes into…
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Speaker 4 (Quinlan Conf Room): I found the limits of Copilot, Copilot
Studio, I need a full custom agent build, and I'm gonna go put agents to
work. So, one of the customers that we were talking to, California
Department of Public Health.
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Speaker 4 (Quinlan Conf Room): When COVID hit, their infectious disease
registry, called CalReady, broke.
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Speaker 4 (Quinlan Conf Room): most places broke, so I'm not pointing
fingers or casting aspersions here. What they're doing now is one of
their problem statements, they have 200 different program areas, which
are all different applications that all have different database for, did
you get a COVID vaccine? Did you get this? Have you been, on any other,
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Speaker 4 (Quinlan Conf Room): what do they call it? Where did you grow
up? All of the data points that they have about you.
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Speaker 4 (Quinlan Conf Room): One of the things we struggle with is to
query all that, or all independent, let me go query all those, and go tap
this department, this data silo, this data silo, this data silo. They're
now looking to, how do I build agents in Foundry to go do all that
querying, so as I have a doctor, and they have a patient there, can I put
those agents to work to go query those and come back to, this person's
had this vaccine, they've not had that one, they grew up here, they grew
up there, they…
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Speaker 4 (Quinlan Conf Room): So, this is where, if you think about
querying your work graph, finding extendable ways to query your work
graph, all fabric in the middle, boundary for doing custom pro-code type
of agent builds to go do tasks and manage those.
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Speaker 4 (Quinlan Conf Room): And Agent 365 is kind of coming. So, I'm
just trying to contextualize, and again, that's a state example, but
trying to paint a picture for… Microsoft has a dirty habit of putting all
of our product names, trying to show where they fit into the picture
here, in the context of how does our AI story actually work?
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Speaker 4 (Quinlan Conf Room): Does that make sense? You said February
has the access to all.
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Speaker 1 (Quinlan Conf Room): limited.
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Speaker 4 (Quinlan Conf Room): Fabric is how you maintain access to that
data, and I… I mean, I don't want to put you on the spot, but I was told
you were part of the expert there on that, but… but yes, in simple
answer, yes.
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Speaker 5 (Quinlan Conf Room): It's, from what I understood, it's a role-
based access control. Absolutely.
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Speaker 4 (Quinlan Conf Room): So, again, one of the things that we see…
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Speaker 4 (Quinlan Conf Room): It's an anti-patterns of success guy
speaking.
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Speaker 4 (Quinlan Conf Room): Where we limit and restrict access to
enterprise-grade AI,
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Speaker 4 (Quinlan Conf Room): you end up with what I refer to as the
Jurassic Park effect. You know, Jeremy Goldblum's character of life will
find a way, and they will start taking your data and putting it into GPT
or other consumer-grade AI technologies.
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Speaker 4 (Quinlan Conf Room): when we think of how to enable responsible
AI, and you can secure it, then they start to put it where it should be,
where you have access to make sure that
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Speaker 4 (Quinlan Conf Room): Emma doesn't get access to anything Emma
shouldn't have access to, and it's auditable, queryable, and defensible.
And so, like, that's…
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Speaker 4 (Quinlan Conf Room): what I've seen is, like, in the great race
for AI buzzword, bingo, everyone's saying, I've got an AI solution, it's
exposed a dirty secret for a lot of organizations, especially the bigger
ones.
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Speaker 4 (Quinlan Conf Room): Which is, we actually haven't been tagging
our data, we haven't been doing all the data governance, and we haven't
been really cataloging all that stuff. And all of a sudden, holy smokes,
I can query all that?
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Speaker 4 (Quinlan Conf Room): Like, that's the challenge that I see
that's really, like.
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Speaker 4 (Quinlan Conf Room): Wall Street's asking us, where's the
progress on this? I think the whole world's going through getting all
their data ducks, and I think the proliferation of adoption is imminent
as we're getting through some of those efforts, and that's where I think
Microsoft would contend we're different than some of our competitors that
are out there.
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Speaker 5 (Quinlan Conf Room): To complement, too.
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Speaker 6 (Quinlan Conf Room): I think that's perfect intrigue. I was
just at a security conference, actually, a few weeks ago, called right
above, for our largest, one of the largest security conferences, for many
partners that go there, our managed service providers.
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Speaker 6 (Quinlan Conf Room): And it was interesting, because I would
ask them, like, how… how do you see the AI readiness journey for your
customers, right? Which are government, small businesses, and they always
say, it always starts with the… with security, the foundations. Like, we
have to make sure the data and the governance are secure before we go on
to the next level. Now we start thinking about the next level with
Copilot.
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Speaker 6 (Quinlan Conf Room): And in that discussion, you know, we
started seeing, you know, what are the different approaches, you know,
that are happening, you know, within this space? You know, and even
within small businesses, around 70% of small businesses, you know, suffer
a cybersecurity attack
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Speaker 6 (Quinlan Conf Room): you know, don't even reopen, you know,
after that. So it is… it is a risk factor. But then when you start
thinking about the end of the curve agents, we were just discussing how
we can employ agents, we'll go into that in a second.
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Speaker 6 (Quinlan Conf Room): The Agent 365, it's coming soon, but I
think it's important to really just pin on what it's going to achieve.
You think about it.
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Speaker 6 (Quinlan Conf Room): We want to have that security, because
you… every agent that you create… Satyp said this very well, he said,
think about it like a consultant that you bring to your company, right?
Or to your organization.
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Speaker 6 (Quinlan Conf Room): They're going to have access to many of
your tools, your platforms, your apps. How do you integrate them, right?
You want to have an ID with that consultant, right?
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Speaker 6 (Quinlan Conf Room): The Agent 365, the idea there is so that
every… every… can be able to monitor exactly all the agents that you're
creating in the organization, know what data sources they are, who's
creating them, what is the flows, what's the interface, and the actual
usage. And so that way, we have a much more secure environment as well.
So just to connect that, is that the end game here, too? Because that's
what's actually being used
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Speaker 6 (Quinlan Conf Room): And we're seeing so many people creating
them in organizations. It's great. No code, low code. I create them a lot
myself as an organization, we're employing them. But we need to have that
control and understand that transparency around the usage of it. So just
to connect that button. And…
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Speaker 6 (Quinlan Conf Room): So, during this presentation, I am sure,
Ramon, you're gonna have slides, I'm sure.
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Speaker 7 (Quinlan Conf Room): What I'm looking for is… How is it going
through?
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Speaker 7 (Quinlan Conf Room): improve the crisis management for the
city. Okay. Right? Services to the city, ma'am?
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Speaker 7 (Quinlan Conf Room): if you can just map it, the things that
you're talking about, and how it can improve the efficiency services. You
can map it, that…
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Speaker 1 (Quinlan Conf Room): When's up.
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Speaker 7 (Quinlan Conf Room): perspective.
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Speaker 1 (Quinlan Conf Room): So I'm waiting for a demo or something,
and some use cases, which is, you guys have implemented in the… in the
public space.
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Speaker 3 (Quinlan Conf Room): We're interrupters.
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Speaker 4 (Quinlan Conf Room): Let's do it. This is your time. So, no,
hold on.
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Speaker 3 (Quinlan Conf Room): I am always… like, I understand I'm our
local hard sell on AI, because I'm very much, like, the city is here to,
like, serve people. One of those ways that we do that is by
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Speaker 3 (Quinlan Conf Room): having employees that do our… that do
excellent work, but also we support our employees. But I am always
worried when I hear, public-facing AI suggestions, or building agents in
the internal, that we're going to be giving the agents,
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Quinlan Conf Room: Blake.
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Speaker 3 (Quinlan Conf Room): Not to, like, like, quasi-judicial
authority here, where it's, like, they…
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Speaker 3 (Quinlan Conf Room): I'm always nervous, where it's like, do we
want them involved in planning permits? Do I want them involved in
deciding who gets their trees trimmed first? Like, that kind of thing
where… I mean, the city youth…
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Speaker 3 (Quinlan Conf Room): non-profit motivated, right? It's service-
motivated.
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Speaker 3 (Quinlan Conf Room): And I was worried with business AI that
it's not going… so I'm… I would also like to see
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Speaker 3 (Quinlan Conf Room): Examples of where you're doing this in the
public sector, where it's…
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Quinlan Conf Room: like…
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Speaker 3 (Quinlan Conf Room): The guardrails that are in there.
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Speaker 4 (Quinlan Conf Room): Totally relevant, thank you. So, I think
that's a good call-out.
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Speaker 5 (Quinlan Conf Room): I skipped through a couple other slides.
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Speaker 5 (Quinlan Conf Room): I think to answer one of your questions,
and to really ground this, right? Again, when we talk about frontier
transformation,
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Speaker 5 (Quinlan Conf Room): or any kind of transformation in terms of
our stance on AI.
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Speaker 5 (Quinlan Conf Room): It's always human at the center and human
at the left, right? To your point, yeah, is there agents operating? Sure.
Did I just use an agent today? Sure. But I have the final say, at the end
of the day, whether that information is accurate, factual, and if I want
to use it.
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Quinlan Conf Room: Do not.
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Speaker 5 (Quinlan Conf Room): Right? That, like, publicly, that is our
stance.
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Speaker 5 (Quinlan Conf Room): And so, what… we've said Copilot a lot,
but what… what is Copilot, right? Copilot is really…
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Speaker 5 (Quinlan Conf Room): our brand for artificial intelligence from
a UI perspective. Think about Copilot as the UI for AI, or think about it
in a different way, like, Nike is brand, Nike has a lot of sub-brands,
right? Copilot, there's a lot of Copilots out there.
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Speaker 5 (Quinlan Conf Room): And this wheel…
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Speaker 5 (Quinlan Conf Room): kind of depicts… helps try and depict some
of this. And this is kind of an outdated chart.
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Speaker 5 (Quinlan Conf Room): But, there's, like, 90, 100, whatever
amount of Microsoft products out there.
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Speaker 5 (Quinlan Conf Room): We believe that there is going to be a
Copilot, really, on almost every product eventually out there, right? And
so, when we're talking about Microsoft 365 Copilot, we're really only
talking about a narrow subsection of the field under the old, what we
used to call modern work section, right? Think about Copilot embedded
into the Office applications, Word, Excel, PowerPoint, etc.
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Speaker 5 (Quinlan Conf Room): Right? If you're thinking about hardcore
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Speaker 5 (Quinlan Conf Room): development and coding, you actually might
leverage a different Copilot called GitHub Copilot.
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Speaker 5 (Quinlan Conf Room): If you're thinking about security,
Security Copilot is actually in commercial today, and that's something
that you guys can take advantage of with the right licensing.
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Speaker 5 (Quinlan Conf Room): So, I want to set that as kind of the
grounding there. So, can you magnify it so we can see the edge?
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Speaker 4 (Quinlan Conf Room): So, Spencer, I'm gonna chime in here, and
then I'm gonna say, in the spirit of Mukesh's feedback, we should
probably get to a demo here rapidly. The one thing I would say about
this, so…
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Speaker 4 (Quinlan Conf Room): spaghetti monster of Microsoft products,
Copilot's gonna span across them all, right? And there's an embedded
Excel co-pilot, there's a PowerPoint one, there's a Word one, they're
everywhere. They're proliferating. So this is…
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Speaker 4 (Quinlan Conf Room): An ugly view of Microsoft's app stack. You
know, and we can call it what it is. I've made fun of our slideware quite
a bit.
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Speaker 4 (Quinlan Conf Room): I heard, Monica earlier talking about what
we're seeing. What I am seeing with AI tool proliferation follows the
cybersecurity tool proliferation, which means
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Speaker 4 (Quinlan Conf Room): The space is getting so crowded to adopt
across multiple companies.
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Speaker 4 (Quinlan Conf Room): means you're changing your title from
Chief Information Officer to Chief Integration Officer. And I think the
value prop that we're getting to is consolidating that under one security
umbrella, visibility, and auditability across all of that. And so, we've
hammered that point. So…
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Speaker 5 (Quinlan Conf Room): And again, this wasn't really intended to
go into all of the different co-pilots, right? This is just… it's
actually intentionally made
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Speaker 5 (Quinlan Conf Room): to kind of raise some questions, right?
Because I want… we talk about Copilot, and it's very confusing, right? So
I want to ground this on what we're about to see.
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Speaker 5 (Quinlan Conf Room): So…
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Speaker 4 (Quinlan Conf Room): What's the reason for having multiple co-
pilots and not one integrated co-pilot?
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Speaker 8 (Quinlan Conf Room): that integrates across multiple
applications? Yeah. Good question.
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Speaker 4 (Quinlan Conf Room): I'll do the official answer, and then Rick
Doyer's unofficial opinion, if that's fair. Official answer is… we
started with just embedding co-pilots into products so that if I'm in
Word, I can quickly and easily prompt in Word to help me in Word. Then I
started to do it
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Speaker 4 (Quinlan Conf Room): Office 3 in my office experience. Then it
was in Teams. I think what we're starting to see is collapsing of…
there's going to be a co-pilot everywhere, but unifying that data and
getting yourself into integrated experiences as an ultimate branding
umbrella, to Spencer's point.
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Speaker 4 (Quinlan Conf Room): Copilot starts to slowly morph into your
UI for getting into the Microsoft ecosystem.
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Speaker 4 (Quinlan Conf Room): I think that's kind of the tea leaves and
everything that we're going towards on this front, and a lot of that is
rooted in kind of how we're seeing it internally, in our own… we're…
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Speaker 4 (Quinlan Conf Room): drink our own champagne, or eat your own
dog food, however you want to think about it, but, that's kind of how
we're seeing it. Spencer, sorry. Yeah, no worries. So…
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Speaker 5 (Quinlan Conf Room): This is a demo tenant, and this is very
similar to what you guys, have in some capacity. I want to quickly say,
right, before we get into paid co-pilots, how many of…
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Speaker 5 (Quinlan Conf Room): Is anyone aware of Copilot Check, and kind
of what that is, and…
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Speaker 5 (Quinlan Conf Room): Again, what that is. Copilot Jack. Chat.
Chat. Copilot chat.
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Speaker 5 (Quinlan Conf Room): So, Copilot Chat is, right, you name your
favorite web-based AI tool.
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Speaker 5 (Quinlan Conf Room): it is included within your existing
Microsoft licensing today at no incremental cost, right? This is
something that we originally did not release to customers, and we just
gave the pay… it was either paid or nothing, right? And so, we've
completely changed that.
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Speaker 5 (Quinlan Conf Room): And we're investing into you as a city, as
a local municipality, and we are providing Copilot chat within your
existing agreement today, right? And so, what is Copilot Chat, right?
Copilot Chat is a very basic
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Speaker 5 (Quinlan Conf Room): web AI tool, right? It can do summaries,
it can help with brainstorming, right? But Copilot Chat does not natively
have any access to your work data, right? In this example, I literally
asked to summarize my email.
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Speaker 5 (Quinlan Conf Room): Sure, happy to do it. Please copy and
paste, right? Think about this as a chat GPT, Gemini, what… like, you
name your favorite AI tool out there. That is Copilot Chat.
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Speaker 5 (Quinlan Conf Room): Copilot Chat is really a tool that we are
providing, and we do not learn, we do not train, it is enterprise data
protected, and so what I'm highlighting up in here is when you're logged
in with your…
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Speaker 7 (Quinlan Conf Room): ChatGPT, or Gemini, or Claude, right? You
are asking the questions in… Correct. Correct.
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Speaker 5 (Quinlan Conf Room): It is. Is it not the web?
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Speaker 1 (Quinlan Conf Room): version, which is, but if you click on the
word, work, because I'm actually using that right now. If you click on
the work, then it is connected. Yes.
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Speaker 5 (Quinlan Conf Room): and that is paid co-filer, right? Your
users today, for a majority of their users, do not see work. They only
see web, and it will just…
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Speaker 5 (Quinlan Conf Room): there's no toggle, and it'll just say,
hey, you know, how can I help? Right? And so, your users today have
access to the web, right? And so it's ground… it's leveraging
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Speaker 5 (Quinlan Conf Room): OpenAI out of ChatGPT 5.2, right? And we
just announced we're bringing 5.3 in the next, probably, you know, coming
soon. Betty, you have that.
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Speaker 1 (Quinlan Conf Room): so the web version you have, and you don't
have the Word version. Only for… Only for users. But web version is
available for everybody who has got 365 license, like Word, Outlook… So,
I want…
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Speaker 5 (Quinlan Conf Room): And we'll get into that in one second, but
I want to be very crystal clear to her. Copilot chat
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Speaker 5 (Quinlan Conf Room): is…
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Quinlan Conf Room: more secure.
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Speaker 5 (Quinlan Conf Room): than really any of your… any of your
favorite consumer AI tools.
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Speaker 5 (Quinlan Conf Room): Right? Because it's enterprise data
protected.
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Speaker 5 (Quinlan Conf Room): And that is backed by our enterprise data
protection promise, right? And so, you can go pay for a ChatGPT
Enterprise, and that will probably get you the same thing, right? But
you're paying for that. It's the same elements.
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Speaker 5 (Quinlan Conf Room): It is the same LLM, yes.
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Quinlan Conf Room: Granted.
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Speaker 5 (Quinlan Conf Room): On top of that.
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Speaker 5 (Quinlan Conf Room): we have responsible guardrails in place,
right? And so, I'm not gonna do it in this demo tenant, but my solution
engineer has a different demo tenant where he's… he's gonna… he will… he
would put a prompt like, how do I create an atomic bomb?
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Speaker 5 (Quinlan Conf Room): Copilot is… will not return an answer for
that, or it should not, right? Because we add on top of the LLM
responsible guardrails, and that is in our enterprise data protection
promises.
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Speaker 5 (Quinlan Conf Room): Right? And so, it is essentially…
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Speaker 5 (Quinlan Conf Room): write the AI for work, right? Don't get me
wrong, I leverage other models outside of work, but I would never put,
and I would never prep for a customer meeting
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Speaker 5 (Quinlan Conf Room): or a Microsoft internal thing with my own
personal bring your favorite AI tool work. When I'm at work and logged
in, I'm leveraging Copilot.
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Speaker 1 (Quinlan Conf Room): So you are saying, in some way you're
saying that the VIP signed up for…
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Speaker 1 (Quinlan Conf Room): is available to everybody who has got
Microsoft Office license. So if we have got Outlook, Word, Excel license,
we can use it, but it is not connected to their personal laptop, it's not
connected to the calendar, Teams, Outlook is not connected to that.
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Speaker 5 (Quinlan Conf Room): That is the word.
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Speaker 1 (Quinlan Conf Room): The third-style method is all the public
information. It's connected to the internet.
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Speaker 1 (Quinlan Conf Room): Correct.
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Speaker 5 (Quinlan Conf Room): Yes, it's grounded to the LLM plus Bing,
right, through secure connection.
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Speaker 6 (Quinlan Conf Room): say that it's not using your data that you
input to train the model? Yes, yes.
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Speaker 3 (Quinlan Conf Room): And that's the thing.
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Speaker 5 (Quinlan Conf Room): That's the difference. That's the
difference between free… actually, this is the difference between…
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Speaker 5 (Quinlan Conf Room): M365 Copilot, regardless if it's chat or
paid, versus our competitors, right? Again, our competitors, I can't
speak for them, and they might say that they don't train, but again, I
would do your own research on that, right? You have enterprise data
protection, and that's something that we provide to you guys.
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Speaker 5 (Quinlan Conf Room): In your existing licensing, with Copilot
Shadow today.
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Speaker 5 (Quinlan Conf Room): what's paid?
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Speaker 5 (Quinlan Conf Room): Same thing. And, to Rick's earlier point
around security, and even Monica's point around security and trust.
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Speaker 5 (Quinlan Conf Room): M365 Copilot respects all of your existing
data permissions, user permissions, tenant permissions.
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Speaker 5 (Quinlan Conf Room): data labeling policies, DLP policies,
already set up, if you have any of that set up today, right? So, M365
Copilot respects all of that.
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Speaker 5 (Quinlan Conf Room): Versus… third-party connectors, third-
party applications, and strip out the sensitivity wavelength. Well, what
is the difference between.
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Speaker 1 (Quinlan Conf Room): with this, and I think Microsoft, maybe,
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Speaker 5 (Quinlan Conf Room): Microsoft being AI, that is consumer,
right? When we're logged in with work credentials, and you see this green
shield, that's enterprise data protection.
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Speaker 5 (Quinlan Conf Room): Right? And so, I could go to, you know,
copilot.microsoft.com.
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Speaker 5 (Quinlan Conf Room): and get a different experience. Very
similar, but different experience.
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Speaker 5 (Quinlan Conf Room): That is not CoolPilot chat.
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Speaker 5 (Quinlan Conf Room): And we have training guides, user guides,
we have offered training to customers around Copilot Shat, and it's a
really… we see this, as a very low lift.
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Speaker 5 (Quinlan Conf Room): high IT reward, right? You can deploy
Copilot Chat out to your users today. It's actually something that every
user should have access to today. It's whether or not you guys are
advertising it.
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Speaker 5 (Quinlan Conf Room): And that, effectively.
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Speaker 5 (Quinlan Conf Room): mitigates shadow IT for an AI sprawl,
right? We see a lot of my customers are leveraging Copilot Chat as the
AI, basic AI tool.
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Speaker 5 (Quinlan Conf Room): And then blocking and redirecting folks
back to Copilot Jet. Because we know that 70-80% of employees are
bringing their own AI to work.
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Speaker 5 (Quinlan Conf Room): in… in the…
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Speaker 4 (Quinlan Conf Room): The concern in our local government world
is government data going into consumer-grade AI tools and being exposed.
Yeah.
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Speaker 4 (Quinlan Conf Room): Spencer, I'm looking at our clock. How are
we on time, team? How much time… Yeah.
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Speaker 7 (Quinlan Conf Room): Okay.
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Speaker 4 (Quinlan Conf Room): I know you had other business that you
needed to get to as well, so I just wanted to make sure we were tracking.
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Speaker 4 (Quinlan Conf Room): Okay, so that…
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Speaker 5 (Quinlan Conf Room): And the reason I've, I've, you know.
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Speaker 5 (Quinlan Conf Room): I think we opened with… we… I think some
of this agenda items, like, we… I spend literally an hour with our
initial customers, just understanding the basics… basics of Copilot Chat,
right? And answering questions around, you know, security, and so I'm
happy to follow up.
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Speaker 5 (Quinlan Conf Room): around Copilot chat specifically, but I
do… this is foundational, and again, I don't…
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Speaker 5 (Quinlan Conf Room): I wanted this to be super educational.
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Speaker 5 (Quinlan Conf Room): And I don't want to hard sell you on
anything, right? This is something that is free, or excuse me, not free,
but, you know, included within existing licensing today, right? So,
leverage it, right? It's here for you.
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Speaker 5 (Quinlan Conf Room): So… I think with that, right.
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Speaker 5 (Quinlan Conf Room): there is a work tab, and this is, I think,
what you guys have a few licenses for today, right? And this gives you
access to all of your work data, right? So I can literally run the same
prompts around summarize my email. And again, it's a bad prompt.
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Speaker 5 (Quinlan Conf Room): But it's gonna come back and start
returning things that are in my inbox, in this demo antenna, right? So
it's talking about e-byte specifications and go-to-market strategy.
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Speaker 5 (Quinlan Conf Room): It's, you know, a grand opening, right?
There's emails, and it's citing these, right? It's called Copilot for a
reason, it's not autopilot. So it comes back to this
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Speaker 5 (Quinlan Conf Room): this, notion of, hey, human in the loop at
the center, right? I get to decide.
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Speaker 5 (Quinlan Conf Room): And so, I can… That's a… that's a pretty
bad prompt. I could go in and…
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Speaker 5 (Quinlan Conf Room): even say prompts, right? I'm saying, hey,
you know, act as an executive assistant.
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00:50:54.435 --> 00:51:05.285
Speaker 5 (Quinlan Conf Room): plan out my day, provide me with what's
going on in my, you know, meetings, call through, give me some
information about artificial intelligence, because I sell artificial
intelligence.
365
00:51:05.685 --> 00:51:15.894
Speaker 5 (Quinlan Conf Room): It's gonna take a little bit more time,
right, and come back, but this is a way more methodical prompt, and you
can actually see
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Speaker 5 (Quinlan Conf Room): the reasoning, the thinking behind the
model. And so I ran this already, just to speed up, and again, it's not
gonna… in this demo tenant, I have no meetings, so it's not gonna return
a lot of stuff, but I run this every single day in my work environment.
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Speaker 5 (Quinlan Conf Room): And it helps me prep for my day,
understands where I need to take breaks.
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Speaker 5 (Quinlan Conf Room): gives me top relevant competitor briefings
on Gemini, for example.
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Speaker 5 (Quinlan Conf Room): That is one use case, in terms of, like,
think about it from a leadership perspective, think about it from an
employee's perspective.
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Speaker 4 (Quinlan Conf Room): search and summarize the upcoming TIC
meeting agenda for me. When is it?
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Speaker 4 (Quinlan Conf Room): what's on the agenda? What are the meeting
minutes I'm going to be tasked with, approving or… or not, as a super
real-world use case. I asked it today. Find me what the address is for
where I'm supposed to be. It found the email that was sent to me. There
were a few emails back and forth, found that.
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Speaker 4 (Quinlan Conf Room): Alright, cool, plug in my coordinates.
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Speaker 4 (Quinlan Conf Room): I asked to…
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Speaker 8 (Quinlan Conf Room): to add this meeting to the calendar, then
it said it did. Okay. But then it didn't.
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Speaker 1 (Quinlan Conf Room): No, no, no, but you don't have the work.
Actually, you don't have the work license, because I do that, at work a
lot. So I bought, I've got 2,000, users using that today, so I… I
actually use 3 hours every day, almost 2 to 3 hours a day.
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Speaker 8 (Quinlan Conf Room): This is what I have, right? I use my
phone. Okay. Yep. And, I asked… there was a meeting invite, and in the
email. I asked to add it to my calendar. So, do you have.
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Speaker 5 (Quinlan Conf Room): with paid license.
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Speaker 8 (Quinlan Conf Room): I have whatever we have from the city. Oh,
yeah, he does. Okay, so let's…
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Speaker 5 (Quinlan Conf Room): Oh, no, no, no. No, sorry.
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Quinlan Conf Room: Microsoft.
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Speaker 5 (Quinlan Conf Room): So what I'm showing here, and what I kind
of just demoed, right, we just context switched.
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Speaker 8 (Quinlan Conf Room): I'm confused.
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Speaker 1 (Quinlan Conf Room): This is the free… This is the purchased
one versus the.
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Speaker 6 (Quinlan Conf Room): for you.
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Speaker 1 (Quinlan Conf Room): I'll give one example for today. So I had
a meeting, and used the Teams, Microsoft Teams for the meeting. They
created a summary, and then I sent the co-pilot to send an email to my
boss summarizing the initiative. No, not a single word I changed. I just,
like…
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Speaker 1 (Quinlan Conf Room): everything automated.
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Speaker 1 (Quinlan Conf Room): In 2 minutes. So just telling my boss,
like, I had a meeting with another business executive, this is the
summary, you know? Let me know if you want to discuss it live, that's it.
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Speaker 4 (Quinlan Conf Room): that transcription during meetings, and
then send an exec-level summary, send a detailed summary, like, that is a
godsend. That's a very powerful thing. Very, very powerful.
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Speaker 5 (Quinlan Conf Room): this is a competitor meeting, right? But
you guys, I believe, have access to Microsoft Teams today to host
something exactly like this.
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Speaker 5 (Quinlan Conf Room): And if we're thinking about security,
let's have a follow-up conversation, because there is more enhanced
versions of Microsoft Teams that handle town halls.
391
00:54:26.380 --> 00:54:28.779
Speaker 5 (Quinlan Conf Room): So, with that, right?
392
00:54:29.360 --> 00:54:33.800
Quinlan Conf Room: To your point, Teams, co-pilot teams.
393
00:54:34.100 --> 00:54:50.020
Speaker 5 (Quinlan Conf Room): And yes, it is a paid feature, but Copilot
Teams is a lifesaver for me as a person that's in probably 9 meetings a
day back-to-back-to-back, and I need to follow up, right? This is very
similar to the functionality. This is a test…
394
00:54:50.020 --> 00:54:55.569
Speaker 5 (Quinlan Conf Room): police parole procurement video that I
uploaded to,
395
00:54:55.570 --> 00:54:59.660
Speaker 5 (Quinlan Conf Room): stream, Microsoft Stream, and if you could
start the transcript.
396
00:55:00.480 --> 00:55:06.460
Speaker 5 (Quinlan Conf Room): You can literally ask it, hey, list the
action items, right? And in a matter of seconds.
397
00:55:06.660 --> 00:55:09.830
Speaker 5 (Quinlan Conf Room): It is now spitting out action items.
398
00:55:10.060 --> 00:55:14.580
Speaker 5 (Quinlan Conf Room): Right? Backed by the transcript because it
was recorded and transcribed.
399
00:55:14.580 --> 00:55:34.109
Speaker 5 (Quinlan Conf Room): Right? And so, again, it's human in the
loop, and is this saving me 100% time as a seller? No. Right? Because I
will never copy and paste this and hit send and send it to you guys. I
always want to validate that, check it against it, but is it saving me
50%, 75% of my time? Absolutely.
400
00:55:34.110 --> 00:55:47.690
Speaker 5 (Quinlan Conf Room): Right? And so, right, summarize this
video, right? Or summarize this meeting, right? In a matter of seconds, I
can ask it to summarize and tell me what was said when, right? Give me a
two-sentence summary.
401
00:55:47.690 --> 00:56:06.669
Speaker 5 (Quinlan Conf Room): Executive summary. Create an email based
off of this meeting with next steps and actions. This is all things that
we… within Copilot of Teams, or you could bypass it, and if you have the
reporting, you can upload it to Microsoft Stream, and if you have
Copilot, you can leverage Copilot like I'm doing this.
402
00:56:06.670 --> 00:56:09.000
Speaker 5 (Quinlan Conf Room): Right? Another example.
403
00:56:09.540 --> 00:56:12.020
Speaker 5 (Quinlan Conf Room): But is this something,
404
00:56:12.500 --> 00:56:18.040
Speaker 5 (Quinlan Conf Room): I'm just not… I mean, in general, like,
the government that you follow up that.
405
00:56:18.370 --> 00:56:18.790
Speaker 10 (Quinlan Conf Room): Everyday.
406
00:56:18.790 --> 00:56:28.680
Speaker 9 (Quinlan Conf Room): Correct. Correct. Now. Where… where…
407
00:56:29.640 --> 00:56:30.490
Quinlan Conf Room: where are…
408
00:56:30.490 --> 00:56:34.999
Speaker 5 (Quinlan Conf Room): You know, I believe you guys are a
Microsoft shop, correct? Right? You guys…
409
00:56:35.335 --> 00:56:36.115
Speaker 4 (Quinlan Conf Room): are due.
410
00:56:36.115 --> 00:56:39.875
Speaker 5 (Quinlan Conf Room): guys leverage Office products today? Yes.
Right?
411
00:56:39.875 --> 00:56:40.955
Speaker 4 (Quinlan Conf Room): beauty.
412
00:56:40.960 --> 00:56:55.830
Speaker 5 (Quinlan Conf Room): right, between us and our competitors, is
you guys are already leveraging Office today. You guys are leveraging
Microsoft today. Your data, I believe, is in Microsoft or Microsoft-ish
products, right? And so, you can leverage
413
00:56:55.980 --> 00:57:11.370
Speaker 5 (Quinlan Conf Room): that. Put it to work, like I was saying
earlier, right? And then, how do we become more of a innovative city,
right? How do we free up more time for you guys to then focus on the
mayor's priorities?
414
00:57:11.680 --> 00:57:19.400
Speaker 4 (Quinlan Conf Room): Right, so let me jump in there. So, to
your example, Prabhir, hey, Google has this… Zoom, whomever, yes.
415
00:57:19.760 --> 00:57:27.830
Speaker 4 (Quinlan Conf Room): I think the… the story we're sharing here
is the Microsoft ecosystem that the city has… means…
416
00:57:28.070 --> 00:57:41.779
Speaker 4 (Quinlan Conf Room): You can have that in a… with the same
security policies, with the same RBAC controls, all rooted in, it's all
being protected in the same spot. So one of the things I love using that
scenario for is I'm not able to join every meeting that's on my calendar
anymore.
417
00:57:42.460 --> 00:57:57.439
Speaker 4 (Quinlan Conf Room): I miss meetings. They transcribe. I then
go back to recording, summarize what did I miss, are there actions for
me? Nope, cool. I'm off to the next. Yes, okay, I'm gonna follow up. And
I'm not… I'm doing all that from within
418
00:57:57.580 --> 00:58:12.350
Speaker 4 (Quinlan Conf Room): teams and already in all day, every day.
I'm not then jumping into a Google interface to go watch the video
summary of the meeting I missed, or the public hearing. We're offering a
more integrated experience versus jumping portal to portal to portal to
portal.
419
00:58:12.355 --> 00:58:21.214
Speaker 1 (Quinlan Conf Room): company is, like, Google Workspace, then
Google Works. If you're, like, Microsoft Office, then… Yeah. Yeah. I
wouldn't argue with that. Yeah.
420
00:58:22.280 --> 00:58:26.339
Speaker 5 (Quinlan Conf Room): Right? Another example, right, that's,
again, same basic thing.
421
00:58:26.950 --> 00:58:45.099
Speaker 5 (Quinlan Conf Room): I pulled, right, Cupertino's Planning
Commission transcript, right? You could do this, upload it to Word, and
leverage it to make, you know, next steps, recommendations, you can
create an account, right? That's all very basic stuff, right?
422
00:58:45.100 --> 00:58:50.890
Speaker 4 (Quinlan Conf Room): I saw somebody like a… mirror, or it's
mirror, the older desk.
423
00:58:51.025 --> 00:59:01.565
Speaker 10 (Quinlan Conf Room): Can we go and look at all the permitting
issues, because everything is in there. Yes. Yeah, yeah. Yes. You can
read all your outlook kind.
424
00:59:01.565 --> 00:59:10.394
Speaker 1 (Quinlan Conf Room): calendar, Outlook emails, even the
SharePoint, you know, if you are uploading documents on the SharePoint,
all the team meetings, yes.
425
00:59:10.395 --> 00:59:11.155
Speaker 2 (Quinlan Conf Room): the problem, like, when.
426
00:59:11.155 --> 00:59:22.134
Speaker 6 (Quinlan Conf Room): And he did the problem. So, Zirke, he
said, go into my Teams, go into my Outlook, leave your… that's when you
specify what are the sources you want it to go to, how output you want.
427
00:59:22.515 --> 00:59:24.734
Speaker 6 (Quinlan Conf Room): Yeah. There's one thing, although I.
428
00:59:24.735 --> 00:59:32.764
Speaker 1 (Quinlan Conf Room): don't like it. Like, you have to copy… So
if you tell that by, okay, send this to my boss.
429
00:59:32.975 --> 00:59:41.644
Speaker 1 (Quinlan Conf Room): It doesn't automatically open your
Outlook. You have to copy-paste, and put it in. Well, you… there's ways
to…
430
00:59:42.310 --> 01:00:00.839
Speaker 5 (Quinlan Conf Room): So, there is ways in Outlook you can do
that, right? But again, it's never been out automated, right? And so,
what I'm demoing here is, right, think about long, long email threads. We
all get those, right? And I'm summarizing a long email thread in real
time with M365 Copilot, right?
431
01:00:01.970 --> 01:00:11.669
Speaker 5 (Quinlan Conf Room): another example, right? I'm in HR, and I
want to hire for a new CISO, right? I… and again, I'm not going to go
through the entire prompt here, but in a matter of seconds.
432
01:00:11.940 --> 01:00:20.999
Speaker 5 (Quinlan Conf Room): Right? Let this run for a minute. It's
gonna create kind of a market research document for me around hiring for
a new CCA, and kind of what that might look like.
433
01:00:21.140 --> 01:00:33.690
Speaker 5 (Quinlan Conf Room): I do this very similar prompt in
Microsoft's compiler chat, and it doesn't get as detailed and granular,
right? In a matter of seconds, this is now creating this for me.
434
01:00:33.800 --> 01:00:37.529
Speaker 5 (Quinlan Conf Room): And I can say, hey, keep it, revise it,
edit it.
435
01:00:38.370 --> 01:00:58.269
Speaker 5 (Quinlan Conf Room): And again, yeah, all of our competitors do
this, but it's tied into the Microsoft Graph, what we are now calling
Work on Queue. And so, even if you were to go and get a third-party AI,
one, it's stripping out security permissions, and two, right, even with
436
01:00:58.350 --> 01:01:09.730
Speaker 5 (Quinlan Conf Room): like, thousands of different connectors
sipping through straws, it's never gonna understand the layer of context
that we at Microsoft have.
437
01:01:09.730 --> 01:01:19.060
Speaker 5 (Quinlan Conf Room): because it's connected across your
Microsoft Graph, across your ecosystem, what we're calling WorkIQ,
Foundry IQ, Fabric.
438
01:01:19.440 --> 01:01:22.080
Speaker 5 (Quinlan Conf Room): platform end-to-end.
439
01:01:22.360 --> 01:01:30.490
Speaker 5 (Quinlan Conf Room): What version is it on? The… the GPT
version? This 5.1 you were saying earlier? 5.2, and I'm now coming…
440
01:01:30.670 --> 01:01:45.740
Speaker 5 (Quinlan Conf Room): I know that we just announced 5-3, and
it's gonna… I don't know if there is a GA date, but it's coming to
Frontier, very shortly. And I will add, in addition, we have moved away
from being
441
01:01:45.850 --> 01:01:48.710
Speaker 5 (Quinlan Conf Room): Only in a single, you know, element.
442
01:01:48.710 --> 01:01:49.300
Speaker 4 (Quinlan Conf Room): alone.
443
01:01:49.300 --> 01:02:01.210
Speaker 5 (Quinlan Conf Room): with OpenAI. Now, we have a massive
partnership with OpenAI, and that is… continues to be the foundation of
all of Microsoft 365 Copilot, but
444
01:02:01.480 --> 01:02:12.429
Speaker 5 (Quinlan Conf Room): we now have the ability to leverage, you
know, Anthropic's cloud model and researcher, and through additional
things like Copilot Studio and Foundry.
445
01:02:12.430 --> 01:02:25.110
Speaker 5 (Quinlan Conf Room): you can leverage cloth and Anthropic, and
even our own Frontier Microsoft models. So it depends on where you need
to go, depends on the task, and we recognize that.
446
01:02:25.110 --> 01:02:36.549
Speaker 5 (Quinlan Conf Room): And we hear our customers around that for
model-agnostic, model-diverse scenarios, right? And so, we are not
necessarily just offering ChatGPT. Right, and so…
447
01:02:36.700 --> 01:02:39.940
Speaker 5 (Quinlan Conf Room): This one, and Copilot chat that you were.
448
01:02:39.945 --> 01:02:42.154
Speaker 11 (Quinlan Conf Room): showing earlier is 5'2".
449
01:02:42.455 --> 01:02:52.455
Speaker 11 (Quinlan Conf Room): Got it. Correct. I think one of the
concerns I've heard was throw something in the co-pilot, and then you
throw something in a chat GPT, and…
450
01:02:52.645 --> 01:02:56.524
Speaker 11 (Quinlan Conf Room): If the users had been using ChatGPT, they
would…
451
01:02:56.655 --> 01:03:03.444
Speaker 11 (Quinlan Conf Room): you have a report that, oh, I got
something either different or better out of ChatGPT, and…
452
01:03:03.555 --> 01:03:13.394
Speaker 11 (Quinlan Conf Room): I don't know if it was always the case
that we were on parity with 5.2 and 5.2, but I guess that's just
something I wanted to bring up.
453
01:03:13.395 --> 01:03:14.155
Speaker 8 (Quinlan Conf Room): objective.
454
01:03:14.155 --> 01:03:15.005
Speaker 2 (Quinlan Conf Room): And I…
455
01:03:15.270 --> 01:03:17.459
Speaker 6 (Quinlan Conf Room): Say, you know, with our 10 licenses.
456
01:03:18.170 --> 01:03:21.809
Speaker 6 (Quinlan Conf Room): We find that people try it, and they don't
really have a good experience, and they don't.
457
01:03:21.815 --> 01:03:27.325
Speaker 12 (Quinlan Conf Room): back to it, right? They go back to using
ChatGPT or Claude,
458
01:03:27.855 --> 01:03:38.475
Speaker 12 (Quinlan Conf Room): So it would be nice if you had, you know,
these are really good, time-saving tasks that really work, you know, so
that…
459
01:03:38.625 --> 01:03:43.125
Speaker 12 (Quinlan Conf Room): You don't have to go through a long
laundry list of things that potentially could…
460
01:03:43.265 --> 01:03:46.605
Speaker 12 (Quinlan Conf Room): But really have, like, some defined, you
know.
461
01:03:46.745 --> 01:03:56.295
Speaker 12 (Quinlan Conf Room): you know, move this, meeting to create a
calendar, and I mean, just things that are… just automate your processes
so that we could
462
01:03:56.635 --> 01:03:59.974
Speaker 12 (Quinlan Conf Room): Get people to actually use it and find
value in it, because…
463
01:04:00.425 --> 01:04:02.605
Speaker 12 (Quinlan Conf Room): Right now, we're not really seeing it.
464
01:04:02.610 --> 01:04:07.469
Speaker 6 (Quinlan Conf Room): What was the role they have, and, like,
what kind of things did they ask? Like, do you know, like…
465
01:04:07.475 --> 01:04:10.355
Speaker 12 (Quinlan Conf Room): So, it's mainly within… well, it's a…
466
01:04:10.605 --> 01:04:22.145
Speaker 12 (Quinlan Conf Room): We have some, management analysts that
deal with budget, we have IT folks, and some people that… we have an
engineer, that deals with plans.
467
01:04:22.145 --> 01:04:23.555
Speaker 3 (Quinlan Conf Room): inspectors. Inspectors.
468
01:04:23.555 --> 01:04:25.115
Speaker 12 (Quinlan Conf Room): Yeah.
469
01:04:25.115 --> 01:04:32.095
Speaker 11 (Quinlan Conf Room): So a handful, just a handful throughout
the city, and it's tough when… Like, I'm hearing objects.
470
01:04:32.195 --> 01:04:40.304
Speaker 11 (Quinlan Conf Room): It's definitely amazing when there's the
wrapper that keeps everything secure, and if you're already using a
similar tool, then we should be using the more secure
471
01:04:40.595 --> 01:04:46.304
Speaker 11 (Quinlan Conf Room): But if the customer or our colleagues are
using it, and they're saying.
472
01:04:46.945 --> 01:04:55.044
Speaker 11 (Quinlan Conf Room): but I'm getting a better answer from
here, then it's hard to say, well, do it safer. Yeah. So, so, yeah.
473
01:04:55.325 --> 01:04:56.815
Speaker 11 (Quinlan Conf Room): And are these…
474
01:04:56.815 --> 01:04:58.944
Speaker 5 (Quinlan Conf Room): These are licensed, right? Yeah.
475
01:04:59.865 --> 01:05:01.404
Speaker 5 (Quinlan Conf Room): Have they tried?
476
01:05:01.905 --> 01:05:07.414
Speaker 5 (Quinlan Conf Room): especially for finance, I think there are
some things we are about to announce shortly.
477
01:05:07.915 --> 01:05:13.915
Speaker 5 (Quinlan Conf Room): in Excel, specifically, right? I think
Excel, and I gotta be careful.
478
01:05:13.915 --> 01:05:14.605
Speaker 4 (Quinlan Conf Room): because I'm…
479
01:05:14.610 --> 01:05:18.109
Speaker 5 (Quinlan Conf Room): public record here, but, you know, I think
Excel across the board
480
01:05:18.320 --> 01:05:20.820
Speaker 5 (Quinlan Conf Room): It's probably one of our weakest ones.
481
01:05:22.000 --> 01:05:25.110
Speaker 4 (Quinlan Conf Room): co-pilots out there. But with things
coming.
482
01:05:25.110 --> 01:05:33.140
Speaker 5 (Quinlan Conf Room): in agent mode in Excel. I think… I don't
know if they've tried agent mode, and we can have a follow-up
conversation on what that really is, and really demo that.
483
01:05:33.430 --> 01:05:36.020
Speaker 4 (Quinlan Conf Room): And kind of go through the.
484
01:05:36.025 --> 01:05:36.985
Speaker 5 (Quinlan Conf Room): that individually.
485
01:05:37.720 --> 01:05:38.380
Speaker 4 (Quinlan Conf Room): But…
486
01:05:38.380 --> 01:05:49.669
Speaker 5 (Quinlan Conf Room): That is one thing. Another one is Analyst,
and Analyst is one of our frontier agents, specifically coded for,
financial analysis.
487
01:05:49.840 --> 01:06:09.490
Speaker 5 (Quinlan Conf Room): Right? And so, again, really bad prompt,
right? But it goes over very, very complex reasoning. You can dive into
all the different coding that kind of goes into the thought process. But
then it starts actually coming back with, hey, tell me, tell me X, Y, and
Z, gives me insights. And again.
488
01:06:09.490 --> 01:06:14.569
Speaker 5 (Quinlan Conf Room): I wouldn't stop just at one prompt, but I
think going back to prompting, too.
489
01:06:16.230 --> 01:06:27.719
Speaker 5 (Quinlan Conf Room): we… there's been a lot of change recently
with M365 Copilot. I think early days with Copilot, and going back.
490
01:06:27.725 --> 01:06:28.335
Speaker 4 (Quinlan Conf Room): to…
491
01:06:28.335 --> 01:06:38.604
Speaker 5 (Quinlan Conf Room): kind of this, right? We always kind of
hard-coded Copilot to be this quick response, right? And ChatGPT might be
thinking longer, etc.
492
01:06:38.995 --> 01:06:47.585
Speaker 5 (Quinlan Conf Room): Now, right, it's… we have… users have a
choice between auto, quick response, think deeper. And so, depending on
the task.
493
01:06:47.755 --> 01:06:58.774
Speaker 5 (Quinlan Conf Room): Right? You can choose. Also, right, you
have, you know, again, GPT-5.2, quick response, think deeper, and then
research.
494
01:06:59.115 --> 01:07:00.175
Speaker 5 (Quinlan Conf Room): is another.
495
01:07:00.175 --> 01:07:01.424
Speaker 4 (Quinlan Conf Room): one as well.
496
01:07:01.770 --> 01:07:10.670
Speaker 5 (Quinlan Conf Room): very methodical around deep research. So,
again, I'd welcome further conversation on some prompting, but also.
497
01:07:13.750 --> 01:07:16.369
Speaker 11 (Quinlan Conf Room): Part of the web one, or it's only part of
the work one?
498
01:07:16.600 --> 01:07:19.999
Speaker 11 (Quinlan Conf Room): Work. For now.
499
01:07:20.000 --> 01:07:23.889
Speaker 5 (Quinlan Conf Room): Yeah. Now, Prompt Coach is a first-party
agent. Can you show us what.
500
01:07:23.895 --> 01:07:28.895
Speaker 1 (Quinlan Conf Room): you create a first ask? But, you know?
Looks like you're creating research and asked, yes, so…
501
01:07:28.895 --> 01:07:42.835
Speaker 5 (Quinlan Conf Room): So, this is a… this is a citizen-facing.
So, I'm context switching here, and it is embedded right now in my
Microsoft 365 demo environment.
502
01:07:42.835 --> 01:07:58.385
Speaker 5 (Quinlan Conf Room): as an internal agent. But again, think
about this as an external agent sitting on your… or a chatbot, if you
will, sitting on your website, right? How do I require a pothole, as an
example?
503
01:08:00.190 --> 01:08:08.329
Speaker 5 (Quinlan Conf Room): And it comes back with, hey, best ways to
report a pothole goes directly to a source, goes directly to a phone
number, right?
504
01:08:09.620 --> 01:08:15.950
Speaker 5 (Quinlan Conf Room): going back to the agent, right? How can I…
how tall can my fins be, right?
505
01:08:15.955 --> 01:08:17.545
Speaker 4 (Quinlan Conf Room): seconds. Eddie.
506
01:08:17.654 --> 01:08:18.675
Speaker 4 (Quinlan Conf Room): Something like this?
507
01:08:18.675 --> 01:08:22.174
Speaker 7 (Quinlan Conf Room): On the website can walk in your other
website.
508
01:08:22.175 --> 01:08:27.785
Speaker 3 (Quinlan Conf Room): something like this? What are you thinking
on the website? What would it be?
509
01:08:28.060 --> 01:08:31.709
Quinlan Conf Room: So, right, right here… Something we're working. What
is it?
510
01:08:32.359 --> 01:08:39.769
Speaker 1 (Quinlan Conf Room): So, what he is… he has probably done is he
has created an agent, and which is reading all the public information on
our website. Correct, yeah.
511
01:08:39.774 --> 01:08:45.104
Speaker 5 (Quinlan Conf Room): was created in less than 5 minutes. No
code. No code.
512
01:08:45.104 --> 01:08:55.374
Speaker 1 (Quinlan Conf Room): Yeah, no code. So… so, but the problem
here is, if you want to give this kind of access to all the public, you
know, to…
513
01:08:55.784 --> 01:09:00.604
Speaker 1 (Quinlan Conf Room): Because they don't have license for that,
correct? That is the problem. Well, so…
514
01:09:00.929 --> 01:09:02.129
Speaker 5 (Quinlan Conf Room): I can't…
515
01:09:02.130 --> 01:09:07.710
Speaker 4 (Quinlan Conf Room): sitting on my… They don't need license.
No, yeah, we don't. We don't need a license, we do not need.
516
01:09:07.715 --> 01:09:11.915
Speaker 5 (Quinlan Conf Room): the license, but… They need, like,
transparency.
517
01:09:12.095 --> 01:09:13.335
Speaker 5 (Quinlan Conf Room): This does.
518
01:09:13.335 --> 01:09:14.015
Speaker 4 (Quinlan Conf Room): buzz.
519
01:09:14.200 --> 01:09:33.990
Speaker 5 (Quinlan Conf Room): run-up consumption charges, right? And so
we could talk about that offline, but… but if we wanted to deploy
something like that, let's talk about kind of what that metered approach
would look like, and how you would build it. Yes, it was built in Copilot
Studio Lite through Microsoft 365, but we would want to do it in Copilot
Studio.
520
01:09:34.779 --> 01:09:45.289
Speaker 1 (Quinlan Conf Room): So it's only the complete cost on Azurea,
correct? Correct. That's it. And we can expose this agent on our website.
Yes, correct. And you don't need to license every citizen who has.
521
01:09:45.295 --> 01:09:46.024
Speaker 13 (Quinlan Conf Room): accesses it.
522
01:09:46.029 --> 01:09:52.109
Speaker 4 (Quinlan Conf Room): It's basically token calls. Right. Now, I
want to go back to Emma's comment from earlier around. Hold on a second.
523
01:09:52.419 --> 01:09:54.989
Speaker 4 (Quinlan Conf Room): Sounds like you guys are making decisions
here, and this is where.
524
01:09:54.995 --> 01:09:55.734
Speaker 13 (Quinlan Conf Room): where I think he.
525
01:09:55.740 --> 01:09:56.490
Speaker 4 (Quinlan Conf Room): You can be smart.
526
01:09:56.495 --> 01:09:57.604
Speaker 13 (Quinlan Conf Room): About how do we think.
527
01:09:57.610 --> 01:09:59.070
Speaker 4 (Quinlan Conf Room): Think about what we're doing.
528
01:09:59.270 --> 01:10:02.670
Speaker 4 (Quinlan Conf Room): And this is where you turn off creativity.
529
01:10:03.020 --> 01:10:06.570
Speaker 13 (Quinlan Conf Room): in AI, Only be rooted in your public.
530
01:10:06.575 --> 01:10:14.474
Speaker 4 (Quinlan Conf Room): documentation, which, like, we went and
looked through all your, codes, and all the ordinances. One of the
examples.
531
01:10:14.475 --> 01:10:15.205
Speaker 13 (Quinlan Conf Room): one of our peers.
532
01:10:15.250 --> 01:10:19.900
Speaker 4 (Quinlan Conf Room): built, was for City of Austin, an
automated way for.
533
01:10:19.900 --> 01:10:23.490
Speaker 13 (Quinlan Conf Room): And he was showing, how tall can my fence
be? Well, that's rooted in.
534
01:10:23.490 --> 01:10:27.400
Speaker 4 (Quinlan Conf Room): What are the rules and regulations? And
one of the things, like, can I build a… can I have a chicken.
535
01:10:27.400 --> 01:10:36.469
Speaker 13 (Quinlan Conf Room): scoop in my backyard. All stuff in your
public documentation that today you serve up to people, we're just
serving up through a different interface.
536
01:10:37.090 --> 01:10:49.389
Speaker 5 (Quinlan Conf Room): say this, City of Bellevue is one of our
customers. This, this agent, I'm not going to query it because it runs up
cost. It is probably about a penny every, every, query I make on this.
537
01:10:49.950 --> 01:10:52.020
Speaker 5 (Quinlan Conf Room): But, this is built in code.
538
01:10:52.020 --> 01:10:52.770
Speaker 4 (Quinlan Conf Room): Pilot Studio today.
539
01:10:52.775 --> 01:10:53.885
Speaker 5 (Quinlan Conf Room): And this is better.
540
01:10:53.890 --> 01:10:55.120
Speaker 1 (Quinlan Conf Room): It's available to all the public.
541
01:10:55.120 --> 01:10:58.050
Speaker 5 (Quinlan Conf Room): Correct. This is something that you guys
can go to today.
542
01:10:58.780 --> 01:11:03.269
Speaker 1 (Quinlan Conf Room): This is nothing but internally, this is an
instant of Microsoft components.
543
01:11:03.275 --> 01:11:09.234
Speaker 10 (Quinlan Conf Room): Yes. Also, we can go to the City of
Biology website. By all means.
544
01:11:11.130 --> 01:11:13.010
Speaker 7 (Quinlan Conf Room): I can tell you this. Yeah.
545
01:11:13.015 --> 01:11:28.895
Speaker 12 (Quinlan Conf Room): A lot more that you'd want behind one of
these, like an analysis on what people are asking, how often it actually
gives good responses, you know, feed… there's a lot of different elements
that would need to go into a chatbot, especially for the public, right?
546
01:11:28.900 --> 01:11:29.520
Speaker 7 (Quinlan Conf Room): the profit…
547
01:11:29.520 --> 01:11:37.010
Speaker 1 (Quinlan Conf Room): this is very risky, too, because I can
very easily write a bot and just shoot up the compute cost for that. And
I would say…
548
01:11:37.585 --> 01:11:43.634
Speaker 5 (Quinlan Conf Room): to your point, right, like, I would… I
would encourage you guys to optimize, right, and so if there's, like.
549
01:11:43.895 --> 01:11:57.254
Speaker 5 (Quinlan Conf Room): an FAQ, you can pre-build, hardcode that
in, as I was kind of showing in that other example, and that… that's a
low… much lower cost than someone actually typing that, right? And then
you can kind of optimize, and so…
550
01:11:57.255 --> 01:12:02.374
Speaker 8 (Quinlan Conf Room): Oh, that was my question. Someone has
already asked a question about how to report a…
551
01:12:02.475 --> 01:12:10.795
Speaker 8 (Quinlan Conf Room): potholes, you capture that you don't have
to compute that every time, right? Correct. You have that available.
Yeah.
552
01:12:11.065 --> 01:12:19.035
Speaker 4 (Quinlan Conf Room): And there are security protections to
protect against DDoS attacks on your public-facing agent and, you know,
runaway costs.
553
01:12:19.795 --> 01:12:23.054
Speaker 4 (Quinlan Conf Room): your commentary I want to hone in on,
which goes back to
554
01:12:23.165 --> 01:12:27.445
Speaker 4 (Quinlan Conf Room): As I think about where the successful
adopters have been, they start in.
555
01:12:27.445 --> 01:12:28.385
Speaker 13 (Quinlan Conf Room): in-house.
556
01:12:28.545 --> 01:12:30.665
Speaker 13 (Quinlan Conf Room): Learn, go public.
557
01:12:30.965 --> 01:12:31.875
Speaker 4 (Quinlan Conf Room): out of house.
558
01:12:32.355 --> 01:12:35.004
Speaker 13 (Quinlan Conf Room): Or front of house, citizen-facing.
559
01:12:35.275 --> 01:12:35.625
Speaker 4 (Quinlan Conf Room): Yeah.
560
01:12:36.510 --> 01:12:39.300
Speaker 13 (Quinlan Conf Room): Use your own people as your guinea pigs
to try to.
561
01:12:39.305 --> 01:12:48.874
Speaker 4 (Quinlan Conf Room): What does this look like? What does a good
experience look like? What are the types of prompts we're gonna get
that's gonna inform you, so that when you go external-facing, you're more
ready for it.
562
01:12:49.210 --> 01:12:49.770
Speaker 13 (Quinlan Conf Room): Right.
563
01:12:49.900 --> 01:12:50.610
Speaker 13 (Quinlan Conf Room): This…
564
01:12:50.610 --> 01:13:09.940
Speaker 5 (Quinlan Conf Room): this is an internal example, right, but
for HR again, right? Ask HR. And this is, again, a very simple agent that
you could do in probably 2 minutes against pump, like, your internal HR
stuff that's available to everyone, at Cupertino, right? How much time do
I get off
565
01:13:09.940 --> 01:13:13.029
Speaker 5 (Quinlan Conf Room): Each year, right? How much PTO?
566
01:13:13.035 --> 01:13:14.575
Speaker 4 (Quinlan Conf Room): By the way, you'll notice it says.
567
01:13:14.575 --> 01:13:16.444
Speaker 13 (Quinlan Conf Room): Contoso. Contoso is.
568
01:13:16.450 --> 01:13:19.559
Speaker 4 (Quinlan Conf Room): Microsoft's fictitious brand that we use
in many of our.
569
01:13:19.565 --> 01:13:22.975
Speaker 13 (Quinlan Conf Room): demos, public, so it's our… so…
570
01:13:22.975 --> 01:13:23.535
Speaker 4 (Quinlan Conf Room): Faith company.
571
01:13:23.535 --> 01:13:24.295
Speaker 13 (Quinlan Conf Room): Again.
572
01:13:24.300 --> 01:13:37.290
Speaker 5 (Quinlan Conf Room): Right? It's super simple, right? And you
can deploy this out to all of your employees, and again, yeah, if they
are licensed for Microsoft Freas, there is no cost.
573
01:13:37.560 --> 01:13:41.469
Speaker 5 (Quinlan Conf Room): for them to hit this agent. If an employee
574
01:13:41.960 --> 01:13:59.629
Speaker 5 (Quinlan Conf Room): does not have a license of Copilot, there
is a bumps. And so that's the same… same kind of cost as an external
agent, and we can talk about that. And there is a break-even point for,
hey, right, when does it make sense to license a user for Copilot?
575
01:13:59.870 --> 01:14:01.590
Speaker 5 (Quinlan Conf Room): Speaking as example.
576
01:14:01.880 --> 01:14:12.700
Speaker 5 (Quinlan Conf Room): Versus when it's not, right? Because,
again, your frontline people, the janitor, probably will never use a paid
license, but they could benefit from an HR.
577
01:14:14.120 --> 01:14:18.780
Speaker 13 (Quinlan Conf Room): That starts to, just thinking about the
public sector.
578
01:14:19.160 --> 01:14:21.130
Speaker 4 (Quinlan Conf Room): Start treading into equity conversations.
579
01:14:21.130 --> 01:14:28.200
Speaker 13 (Quinlan Conf Room): about who does and who doesn't get, and
what does that mean in terms of access? Right. And also, just…
580
01:14:28.450 --> 01:14:32.550
Speaker 13 (Quinlan Conf Room): things drop out as you venture into the
AI wonders. Yep.
581
01:14:32.555 --> 01:14:39.005
Speaker 11 (Quinlan Conf Room): And these agents can be… embedded into
other apps where they're tokened, right? And so…
582
01:14:39.495 --> 01:14:45.395
Speaker 11 (Quinlan Conf Room): Even if, like you just said, even if they
don't have the license, you can embed it in another app.
583
01:14:45.395 --> 01:14:49.264
Speaker 5 (Quinlan Conf Room): And kind of what I'm showing is Microsoft
365 Compilot.
584
01:14:49.270 --> 01:14:51.029
Speaker 4 (Quinlan Conf Room): But it can be published, too.
585
01:14:51.030 --> 01:14:53.480
Speaker 5 (Quinlan Conf Room): teams, for example. Yeah.
586
01:14:54.380 --> 01:15:00.439
Speaker 13 (Quinlan Conf Room): And I think that's… Where lots of people
are developing, especially on the commercial side, is…
587
01:15:00.800 --> 01:15:04.930
Speaker 13 (Quinlan Conf Room): Parent agent with a bunch of child agents
underneath.
588
01:15:05.180 --> 01:15:07.860
Speaker 13 (Quinlan Conf Room): To… to have specific tasks.
589
01:15:08.140 --> 01:15:17.570
Speaker 13 (Quinlan Conf Room): which become much easier to build quickly
and easily. Task 1, 2, 3, 4, 5, rather than building one agent that does
27 tasks.
590
01:15:17.575 --> 01:15:18.005
Speaker 4 (Quinlan Conf Room): That's kind of…
591
01:15:18.265 --> 01:15:20.245
Speaker 13 (Quinlan Conf Room): Yes, and it's kind of the.
592
01:15:20.245 --> 01:15:22.925
Speaker 4 (Quinlan Conf Room): The agile approach versus the waterfall
approach.
593
01:15:23.055 --> 01:15:24.245
Speaker 4 (Quinlan Conf Room): Begentic.
594
01:15:24.245 --> 01:15:29.145
Speaker 13 (Quinlan Conf Room): builds now, but, like, I think you're
thinking right along the… the right line center.
595
01:15:30.870 --> 01:15:35.499
Speaker 1 (Quinlan Conf Room): But I was thinking a little bit of that.
Let's say, Katie's organization
596
01:15:35.600 --> 01:15:40.580
Speaker 1 (Quinlan Conf Room): Somebody has got the Microsoft Office
license, but not the Copilot.
597
01:15:41.030 --> 01:15:44.489
Speaker 1 (Quinlan Conf Room): Can somebody in her organization create
that agenda?
598
01:15:44.730 --> 01:15:56.160
Speaker 1 (Quinlan Conf Room): And make it give access to all of them who
has got the web access. You know, people don't have… people who don't
have the Microsoft Copilot access, can they not use it?
599
01:15:56.830 --> 01:15:58.739
Speaker 5 (Quinlan Conf Room): The quick cost you can use it.
600
01:15:58.740 --> 01:16:15.509
Speaker 1 (Quinlan Conf Room): And with the compute cost? Yeah, compute
cost only, not the license cost. But that compute cost would be limited
only to the city employees, because it's not public-facing. Right,
exactly. That can be manageable. Public-facing, the problem is, like, how
do you manage it? Exactly, yeah, yeah.
601
01:16:15.910 --> 01:16:21.829
Speaker 1 (Quinlan Conf Room): Yeah, you can estimate, because, you know,
like, I've got, like, this many employees, you know. Right.
602
01:16:21.835 --> 01:16:23.374
Speaker 4 (Quinlan Conf Room): We do have calculators out there.
603
01:16:23.375 --> 01:16:31.814
Speaker 5 (Quinlan Conf Room): That can, you know, scale up, scale down,
depending on if there's events, you know, in Cupertino, or tax season,
or, you know, whatever. Right.
604
01:16:32.285 --> 01:16:33.905
Speaker 5 (Quinlan Conf Room): Okay.
605
01:16:34.970 --> 01:16:36.980
Speaker 4 (Quinlan Conf Room): I, I…
606
01:16:36.980 --> 01:17:01.019
Speaker 3 (Quinlan Conf Room): brings up one of my questions, is the
active transportation plan, actually a little bit of a can of worms
occasionally in the city of Cupertino. You know, some of these things, if
you're… I assume this is intended to be an internal thing… Yes. Like, if
you're like, what is the… if you let the citizens be like, what is the
active transportation plan? Like.
607
01:17:01.020 --> 01:17:06.159
Speaker 3 (Quinlan Conf Room): Keeping that toe neutral is gonna be a
really hard balance to strike, because
608
01:17:06.160 --> 01:17:15.229
Speaker 3 (Quinlan Conf Room): there are a lot… there's a very broad
range of feeling on the active transportation plan. Just per this
example.
609
01:17:15.235 --> 01:17:16.735
Speaker 5 (Quinlan Conf Room): COVID, right? Being COVID.
610
01:17:16.740 --> 01:17:17.879
Speaker 4 (Quinlan Conf Room): pilot studio.
611
01:17:18.600 --> 01:17:19.260
Speaker 4 (Quinlan Conf Room): Right.
612
01:17:19.735 --> 01:17:22.885
Speaker 5 (Quinlan Conf Room): And all of that, so it's not going to give
you a wacky answer.
613
01:17:22.890 --> 01:17:24.950
Speaker 4 (Quinlan Conf Room): Or, only draw.
614
01:17:24.955 --> 01:17:31.694
Speaker 13 (Quinlan Conf Room): language from this set of documents. So,
the official zone-approved documentation.
615
01:17:31.695 --> 01:17:33.215
Speaker 4 (Quinlan Conf Room): This is the source.
616
01:17:33.215 --> 01:17:43.364
Speaker 13 (Quinlan Conf Room): for… and you essentially turn off
temperature of creativity down to zero, so you only use factual stuff
coming from here, and then you can…
617
01:17:43.825 --> 01:17:46.794
Speaker 13 (Quinlan Conf Room): One of the cool things is when you start
putting source links to any.
618
01:17:46.795 --> 01:17:49.115
Speaker 4 (Quinlan Conf Room): that you're putting out there to source
back to.
619
01:17:49.465 --> 01:17:52.885
Speaker 13 (Quinlan Conf Room): public docs. And this is part of how you
assuage some of the concerns.
620
01:17:52.885 --> 01:17:53.585
Speaker 4 (Quinlan Conf Room): You were bringing up earlier.
621
01:17:53.585 --> 01:18:04.285
Speaker 13 (Quinlan Conf Room): earlier is the less creative that you
get, and the more factual you are, and the more you point back to
official documentation, the more you're doing a bit of that.
622
01:18:04.285 --> 01:18:04.795
Speaker 4 (Quinlan Conf Room): YA.
623
01:18:04.795 --> 01:18:05.955
Speaker 13 (Quinlan Conf Room): Well, this one.
624
01:18:05.955 --> 01:18:06.665
Speaker 4 (Quinlan Conf Room): and an opinion.
625
01:18:06.670 --> 01:18:14.230
Speaker 13 (Quinlan Conf Room): from a bot, this was just a bot who found
the answers and source-linked you to the source.
626
01:18:14.235 --> 01:18:31.505
Speaker 3 (Quinlan Conf Room): That's good to hear, because especially
with stuff like that, I can… there is always, sort of, sometimes we think
of the AI tendency to fawn and be like, that's the best question, this is
a great plan, everybody loves this idea, and you don't… we don't
necessarily want to strike that balance every time.
627
01:18:31.775 --> 01:18:34.015
Speaker 13 (Quinlan Conf Room): It's just now you're… now you're weighing
in on.
628
01:18:34.015 --> 01:18:35.884
Speaker 4 (Quinlan Conf Room): You don't want the AI to.
629
01:18:36.410 --> 01:18:38.570
Speaker 3 (Quinlan Conf Room): provide public opinion. Right.
630
01:18:38.575 --> 01:18:40.775
Speaker 14 (Quinlan Conf Room): There you go. Again.
631
01:18:40.775 --> 01:18:43.014
Speaker 5 (Quinlan Conf Room): Maybe this was not the best use case.
632
01:18:43.015 --> 01:18:45.294
Speaker 4 (Quinlan Conf Room): I think it's perfect. It's the right
dialogue.
633
01:18:45.295 --> 01:18:48.995
Speaker 5 (Quinlan Conf Room): Healthy dialogue.
634
01:18:48.995 --> 01:18:49.985
Speaker 6 (Quinlan Conf Room): Particularly.
635
01:18:49.990 --> 01:18:50.509
Speaker 3 (Quinlan Conf Room): Sorry about it.
636
01:18:50.515 --> 01:18:54.034
Speaker 5 (Quinlan Conf Room): But, I mean, I pulled this off of…
637
01:18:54.390 --> 01:18:55.220
Speaker 14 (Quinlan Conf Room): Public.
638
01:18:55.225 --> 01:19:13.584
Speaker 5 (Quinlan Conf Room): public information, but this is just
another feature of Paid Copilot. In the notebook feature, specifically
pulled in, like, 5 different PDFs and kind of what the active
transportation plan and previous, documentation was, right? But notebooks
feature in Copilot
639
01:19:13.585 --> 01:19:18.955
Speaker 5 (Quinlan Conf Room): Just allows you to be very narrow,
specific, and even…
640
01:19:20.015 --> 01:19:27.044
Speaker 5 (Quinlan Conf Room): Yeah, you could probably create an agent
on this too, right? But it's just a different way. If you're looking at
one specific.
641
01:19:27.200 --> 01:19:28.970
Speaker 4 (Quinlan Conf Room): projects.
642
01:19:28.975 --> 01:19:36.914
Speaker 5 (Quinlan Conf Room): and you have a ton of files. And so, a
customer that I'm working with is leveraging this feature for massive.
643
01:19:36.915 --> 01:19:40.955
Speaker 4 (Quinlan Conf Room): RFP comparison, as an example.
644
01:19:41.215 --> 01:19:49.194
Speaker 5 (Quinlan Conf Room): Right, so, like, there's a lot of
different use cases, but this is one that I just wanted to show. So I'm
curious, so if you have.
645
01:19:49.955 --> 01:19:51.065
Speaker 2 (Quinlan Conf Room): Oh, that works.
646
01:19:51.070 --> 01:19:58.170
Speaker 10 (Quinlan Conf Room): When you get this question? Based on the
documentation? Based on what he has uploaded. Yes. Yeah.
647
01:19:58.170 --> 01:20:00.450
Speaker 13 (Quinlan Conf Room): Oh, sorry, Terry. So, if you have.
648
01:20:00.455 --> 01:20:09.184
Speaker 12 (Quinlan Conf Room): local governments that are creating
specific agents, internal agents that are doing, like you said, the HR
portal or whatever.
649
01:20:10.275 --> 01:20:28.945
Speaker 12 (Quinlan Conf Room): do you make those available so that other
cities can utilize those? And, you know, I mean, you are going to refine
it as you go. You're not going to just throw in some documentation and be
like, okay, there's your chatbot. There's… there's obviously some, you
know, coding and customization that go into these things, so…
650
01:20:28.945 --> 01:20:39.135
Speaker 1 (Quinlan Conf Room): So, if you are using SharePoint, and if
all the, let's say, HR policy documents are stored in the SharePoint, it
takes hardly half an hour to create your website.
651
01:20:39.425 --> 01:20:59.424
Speaker 1 (Quinlan Conf Room): It depends upon where are the documents.
So, if you're putting all this, because my team created it for corporate
policies and all, and we rolled it out to everybody in the company, so
all the corporate policy and stuff and all. It hardly took, like, a few
days to create it. The thing is, like, document has to be together and
centralized.
652
01:20:59.585 --> 01:21:00.624
Speaker 1 (Quinlan Conf Room): So, in terms.
653
01:21:00.625 --> 01:21:01.775
Speaker 5 (Quinlan Conf Room): internal agents.
654
01:21:02.325 --> 01:21:12.195
Speaker 5 (Quinlan Conf Room): I would say they're pretty easy to… I
mean, to your point, like, you can… this… the HR agent was created in 5
days, and yeah, you should refine it a little bit, but…
655
01:21:12.200 --> 01:21:19.589
Speaker 12 (Quinlan Conf Room): For example, like, we just created one
for agreements, right? We have agreements that are permanent in the city,
and…
656
01:21:19.910 --> 01:21:37.379
Speaker 12 (Quinlan Conf Room): when we retrieve it back, we want to see
specific things. We want to know what the terms are, what the dates are,
what the cost… and we want to link back to exhibits. So that takes some
extra work. It's not just, you know, direct it to a certain document.
657
01:21:37.650 --> 01:21:48.869
Speaker 12 (Quinlan Conf Room): So, it would be great if I don't have to
recreate the wheel each time, right? There's something available within
my foundry environment where I can pull in a model that does something
like that, right?
658
01:21:49.500 --> 01:21:50.310
Quinlan Conf Room: Perhaps.
659
01:21:50.540 --> 01:21:52.570
Speaker 12 (Quinlan Conf Room): Because, guys…
660
01:21:52.575 --> 01:21:57.344
Speaker 5 (Quinlan Conf Room): in commercial. I think there are… our
partners are…
661
01:21:57.880 --> 01:21:59.280
Speaker 4 (Quinlan Conf Room): Building Agency.
662
01:21:59.990 --> 01:22:00.690
Speaker 4 (Quinlan Conf Room): I bet you.
663
01:22:00.970 --> 01:22:05.859
Speaker 5 (Quinlan Conf Room): as we might have an agent for whatever.
But…
664
01:22:06.030 --> 01:22:10.290
Speaker 5 (Quinlan Conf Room): I think that stuff should be coming. Now…
665
01:22:10.640 --> 01:22:15.430
Speaker 5 (Quinlan Conf Room): Internal agents, I don't know, right? I
could see that more external.
666
01:22:15.680 --> 01:22:22.090
Speaker 5 (Quinlan Conf Room): But that brings up a kind of an
interesting point, right? I have a lot of customers wanting pre-educated
667
01:22:22.200 --> 01:22:32.510
Speaker 5 (Quinlan Conf Room): wanting to create agents, and to your
point, needing… it's a tedious task sometimes. Right. You can leverage
M365 Copilot and say, hey.
668
01:22:32.510 --> 01:22:33.130
Speaker 4 (Quinlan Conf Room): help.
669
01:22:33.135 --> 01:22:38.364
Speaker 5 (Quinlan Conf Room): This is the agent I want. Help me create
it. Give me the instructions, what should I do?
670
01:22:38.630 --> 01:22:40.320
Speaker 4 (Quinlan Conf Room): And I think part of the answer.
671
01:22:40.325 --> 01:22:53.284
Speaker 13 (Quinlan Conf Room): Terry, to your question, going back to
your point, is if I have a SharePoint site collection with the official
authority source starting doc, and I've got exhibits that are also in
that same site collection.
672
01:22:53.285 --> 01:22:56.344
Speaker 4 (Quinlan Conf Room): And that's what I'm drowning my agent in.
673
01:22:56.345 --> 01:22:59.284
Speaker 13 (Quinlan Conf Room): And they can pull from and put source
links to…
674
01:22:59.285 --> 01:23:02.674
Speaker 4 (Quinlan Conf Room): because remember, like, a lot of those are
probably PDFs, but…
675
01:23:02.680 --> 01:23:06.800
Speaker 13 (Quinlan Conf Room): Now we can search and summarize PDFs,
translate that into text that is now.
676
01:23:06.805 --> 01:23:07.715
Speaker 4 (Quinlan Conf Room): searchable.
677
01:23:07.720 --> 01:23:18.970
Speaker 13 (Quinlan Conf Room): that is then referenceable to then say,
here's my source links and source docs, relevant snippets from that. So,
I don't think.
678
01:23:18.975 --> 01:23:22.984
Speaker 4 (Quinlan Conf Room): That's a big problem to… to go the
direction that you're thinking of.
679
01:23:24.050 --> 01:23:33.549
Speaker 12 (Quinlan Conf Room): Not necessarily in separate docs, it's
all within one doc. So you're looking within one doc, and you're wanting
to pull out all the… because these agreements are massive, right?
680
01:23:33.555 --> 01:23:34.475
Speaker 3 (Quinlan Conf Room): Explain the…
681
01:23:34.475 --> 01:23:35.105
Speaker 14 (Quinlan Conf Room): point.
682
01:23:35.225 --> 01:23:35.995
Speaker 14 (Quinlan Conf Room): Sweet.
683
01:23:36.155 --> 01:23:36.914
Speaker 14 (Quinlan Conf Room): We can do.
684
01:23:36.920 --> 01:23:39.390
Speaker 4 (Quinlan Conf Room): that today in CodeLabs.
685
01:23:39.500 --> 01:23:40.560
Speaker 4 (Quinlan Conf Room): And we can do.
686
01:23:40.560 --> 01:23:42.040
Speaker 5 (Quinlan Conf Room): But pretty fast, because.
687
01:23:42.045 --> 01:23:45.025
Speaker 11 (Quinlan Conf Room): We tried to do that in Copilot Studio,
and it was…
688
01:23:45.025 --> 01:23:45.845
Speaker 14 (Quinlan Conf Room): I'm still refining.
689
01:23:45.850 --> 01:23:48.020
Speaker 12 (Quinlan Conf Room): I would know.
690
01:23:48.025 --> 01:23:50.645
Speaker 11 (Quinlan Conf Room): Here, let me… oh, sorry, go ahead.
691
01:23:50.645 --> 01:23:53.774
Speaker 10 (Quinlan Conf Room): of any of these, AI elements?
692
01:23:55.175 --> 01:23:58.805
Speaker 10 (Quinlan Conf Room): It's really fast. Yeah.
693
01:23:58.805 --> 01:23:59.565
Speaker 4 (Quinlan Conf Room): That's not count.
694
01:23:59.565 --> 01:24:00.304
Speaker 10 (Quinlan Conf Room): I want to hear the literature.
695
01:24:00.310 --> 01:24:04.800
Speaker 4 (Quinlan Conf Room): But this is…
696
01:24:04.805 --> 01:24:05.564
Speaker 6 (Quinlan Conf Room): I think.
697
01:24:05.565 --> 01:24:06.434
Speaker 12 (Quinlan Conf Room): our real world.
698
01:24:06.435 --> 01:24:07.434
Speaker 14 (Quinlan Conf Room): Yeah, I mean…
699
01:24:07.470 --> 01:24:20.159
Speaker 11 (Quinlan Conf Room): We did it, and it… on a high level, you
could ask questions, but when you got into specifics, like, different
tags of agreements, and just kind of…
700
01:24:20.300 --> 01:24:23.299
Speaker 11 (Quinlan Conf Room): You know, which agreements were related
to another agreement.
701
01:24:23.780 --> 01:24:38.289
Speaker 11 (Quinlan Conf Room): we had to then take that into Fabric to
preprocess it. So this is getting preprocessed through Fabric notebooks,
stored in our own, and then stored into a data lake. And the agent is
using the data lake.
702
01:24:38.290 --> 01:24:48.930
Speaker 11 (Quinlan Conf Room): the level that we needed to… to get our,
answers, the questions answered wasn't going to be available through here
without doing all the preprocessing through Fabric. Okay.
703
01:24:49.390 --> 01:24:58.879
Speaker 12 (Quinlan Conf Room): Well, not all of our data lives in
SharePoint, right? This is in our document management system. Okay. It's
our official record repository, so… Yes.
704
01:24:58.885 --> 01:25:06.985
Speaker 11 (Quinlan Conf Room): So pulling it out and then asking the
agent one thing wasn't giving a sophisticated enough answer. So we had to
pull it out, put it somewhere else.
705
01:25:07.640 --> 01:25:09.100
Speaker 13 (Quinlan Conf Room): Bib? Yeah.
706
01:25:09.440 --> 01:25:16.849
Speaker 13 (Quinlan Conf Room): So, one, that's awesome that you guys
found the way to get to that, and I would argue, when I.
707
01:25:16.855 --> 01:25:17.635
Speaker 4 (Quinlan Conf Room): was pointing.
708
01:25:17.635 --> 01:25:19.504
Speaker 13 (Quinlan Conf Room): earlier to Spencer's.
709
01:25:19.510 --> 01:25:21.370
Speaker 4 (Quinlan Conf Room): slide of, kind of, full SaaS code.
710
01:25:21.375 --> 01:25:28.444
Speaker 13 (Quinlan Conf Room): pilot all the way to the pro code. Hey,
I've got a data lake that now I'm throwing docs into, and having agents
reason over.
711
01:25:28.445 --> 01:25:28.875
Speaker 4 (Quinlan Conf Room): for that day.
712
01:25:28.880 --> 01:25:31.229
Speaker 13 (Quinlan Conf Room): I feel like that's no longer just looking
at SharePoint.
713
01:25:31.230 --> 01:25:34.200
Speaker 4 (Quinlan Conf Room): and, document libraries, they're…
714
01:25:34.205 --> 01:25:35.594
Speaker 13 (Quinlan Conf Room): now I'm just pumping.
715
01:25:35.595 --> 01:25:40.094
Speaker 4 (Quinlan Conf Room): data into Azure Storage that is in
Foundry, that it's protected by the same.
716
01:25:40.225 --> 01:25:46.125
Speaker 13 (Quinlan Conf Room): like, again, I think it's really cool
that Cupertino is already blazing that trail, and that you guys have the
717
01:25:46.865 --> 01:25:55.305
Speaker 13 (Quinlan Conf Room): house, at least for a party of one, to do
that. I don't know how many folks have that, but that puts you guys in a
different spot than a lot of our other customers, quite a.
718
01:25:55.305 --> 01:25:58.095
Speaker 4 (Quinlan Conf Room): Candidly. So, I… I think it's cool that
you guys.
719
01:25:58.095 --> 01:26:04.284
Speaker 13 (Quinlan Conf Room): are already horizontally moving across
that story, because it means that for the super simple cases, you start
at the super.
720
01:26:04.285 --> 01:26:04.854
Speaker 4 (Quinlan Conf Room): for simple size.
721
01:26:04.855 --> 01:26:17.834
Speaker 13 (Quinlan Conf Room): For the more complex use cases, like,
well, these are kind of embedded in there, and it goes, and you gotta
infer across these, and it's not SharePoint, cool. Well, that's kind of
where you start getting into, well, it's a little more pro-code work, but
if you know what you're doing.
722
01:26:17.840 --> 01:26:20.650
Speaker 4 (Quinlan Conf Room): in there, you can get to it. It can all be
surfaced up.
723
01:26:20.655 --> 01:26:21.845
Speaker 13 (Quinlan Conf Room): In a similar fashion.
724
01:26:22.355 --> 01:26:26.035
Speaker 13 (Quinlan Conf Room): But… Is that, does that make sense? And…
Yeah.
725
01:26:26.505 --> 01:26:30.344
Speaker 13 (Quinlan Conf Room): What do you mean by broker? What? So…
726
01:26:30.350 --> 01:26:30.940
Speaker 14 (Quinlan Conf Room): a lot of…
727
01:26:31.405 --> 01:26:43.204
Speaker 13 (Quinlan Conf Room): A lot of what Spencer's showing is, hey,
I went and found some public docs, I threw it into a co-pilot agent, and
said, build me an agent, and it did that. Basic use cases.
728
01:26:44.190 --> 01:26:46.660
Quinlan Conf Room: Pro-code solutions are, like.
729
01:26:47.370 --> 01:26:49.630
Speaker 4 (Quinlan Conf Room): Like, SaaS? No code?
730
01:26:50.030 --> 01:26:52.229
Speaker 4 (Quinlan Conf Room): Then I think of, like, our Power Platform.
731
01:26:52.230 --> 01:26:59.669
Speaker 13 (Quinlan Conf Room): and the Copilot Studio is, I don't have
to be a professional coder, someone who's coding all day, to build
something, but I need to know a little bit of that.
732
01:26:59.840 --> 01:27:00.810
Speaker 13 (Quinlan Conf Room): And then, when you get.
733
01:27:00.815 --> 01:27:08.135
Speaker 4 (Quinlan Conf Room): start getting into Foundry, I'm doing more
coding. I am literally getting in, writing code, whether that's through
prompts.
734
01:27:08.140 --> 01:27:26.380
Speaker 13 (Quinlan Conf Room): But at the end of the day, it's more
intense, or more intense of a development process that we would call pro-
code. I'm a professional coder, this is comfortable to me, and that gives
you ultimate flexibility over what you can do, and the more you go
towards less code, the less flexibility you have, but
735
01:27:26.590 --> 01:27:42.519
Speaker 13 (Quinlan Conf Room): the more access you have to business
users who aren't programmers to build agents that are helpful for them.
So you kind of put business users on one side, and you put your IT pros
on the other side of the toolbench, and then you think about use case and
what's most appropriate.
736
01:27:42.525 --> 01:27:43.765
Speaker 4 (Quinlan Conf Room): appropriate to where do I.
737
01:27:43.765 --> 01:27:46.925
Speaker 13 (Quinlan Conf Room): I go. And again, like, that's part of…
738
01:27:47.745 --> 01:27:48.655
Speaker 4 (Quinlan Conf Room): hammer on the microphone.
739
01:27:48.660 --> 01:27:49.980
Speaker 13 (Quinlan Conf Room): soft story, it's that…
740
01:27:49.985 --> 01:27:51.275
Speaker 4 (Quinlan Conf Room): I can give you all that.
741
01:27:51.275 --> 01:27:55.259
Speaker 13 (Quinlan Conf Room): one uniform To hit all of those use
cases, rather than buying a tool.
742
01:27:55.265 --> 01:27:56.785
Speaker 4 (Quinlan Conf Room): For this person, or this.
743
01:27:56.785 --> 01:28:00.394
Speaker 13 (Quinlan Conf Room): Persona, tools for these personas, and
tools for these personas.
744
01:28:00.985 --> 01:28:03.645
Speaker 13 (Quinlan Conf Room): Does that make sense, Prime? Cool.
745
01:28:04.695 --> 01:28:06.404
Speaker 13 (Quinlan Conf Room): I'm also.
746
01:28:07.045 --> 01:28:13.765
Speaker 5 (Quinlan Conf Room): showing another feature in M35 Copilot
called Create, and this is kind of something that.
747
01:28:14.420 --> 01:28:18.160
Speaker 4 (Quinlan Conf Room): You can create, you know, infographics,
748
01:28:19.000 --> 01:28:20.030
Speaker 5 (Quinlan Conf Room): posters.
749
01:28:20.230 --> 01:28:28.560
Speaker 5 (Quinlan Conf Room): it's kind of a tool like Canva, if you
guys paid for Canva today. We do. But it can help offset or augment
Canva.
750
01:28:28.565 --> 01:28:30.004
Speaker 4 (Quinlan Conf Room): As you see this bill.
751
01:28:30.005 --> 01:28:31.894
Speaker 5 (Quinlan Conf Room): in real time, right? And this is
something.
752
01:28:31.895 --> 01:28:34.625
Speaker 4 (Quinlan Conf Room): That I think is upcoming.
753
01:28:34.960 --> 01:28:38.590
Speaker 5 (Quinlan Conf Room): But it's another feature, and I'll… I'll
stop this.
754
01:28:38.590 --> 01:28:39.049
Speaker 4 (Quinlan Conf Room): Nice. Okay.
755
01:28:39.050 --> 01:28:39.810
Speaker 14 (Quinlan Conf Room): upcoming?
756
01:28:40.020 --> 01:28:40.529
Speaker 14 (Quinlan Conf Room): I believe.
757
01:28:40.535 --> 01:28:41.325
Speaker 4 (Quinlan Conf Room): Lisa. Okay.
758
01:28:41.475 --> 01:28:43.684
Speaker 5 (Quinlan Conf Room): Lisa. Sorry, you're tired.
759
01:28:43.690 --> 01:28:46.460
Speaker 11 (Quinlan Conf Room): Choose… not the event. Not the event.
Feature.
760
01:28:46.465 --> 01:28:48.725
Speaker 14 (Quinlan Conf Room): Oh, no, this is… this is something…
761
01:28:48.725 --> 01:28:53.225
Speaker 5 (Quinlan Conf Room): No pilot tech, sorry.
762
01:28:53.225 --> 01:28:55.465
Speaker 6 (Quinlan Conf Room): I was like, I think he meant skipped it.
763
01:28:56.370 --> 01:28:56.990
Speaker 12 (Quinlan Conf Room): Yes, I definitely.
764
01:28:56.990 --> 01:28:57.740
Speaker 14 (Quinlan Conf Room): We know the events.
765
01:28:57.745 --> 01:28:58.505
Speaker 12 (Quinlan Conf Room): Okay.
766
01:28:58.505 --> 01:29:01.485
Speaker 14 (Quinlan Conf Room): Okay.
767
01:29:01.575 --> 01:29:07.505
Speaker 13 (Quinlan Conf Room): Spencer's answer, I actually thought was,
because we constantly are getting the latest and greatest fed to us as
internal.
768
01:29:07.505 --> 01:29:09.005
Speaker 4 (Quinlan Conf Room): Microsoft employees, we don't always know.
769
01:29:09.005 --> 01:29:09.765
Speaker 13 (Quinlan Conf Room): exactly what.
770
01:29:09.765 --> 01:29:10.485
Speaker 4 (Quinlan Conf Room): Which one's live.
771
01:29:10.490 --> 01:29:11.220
Speaker 13 (Quinlan Conf Room): Or not yet.
772
01:29:11.225 --> 01:29:12.005
Speaker 4 (Quinlan Conf Room): That's what I…
773
01:29:12.005 --> 01:29:12.735
Speaker 5 (Quinlan Conf Room): No, no.
774
01:29:12.740 --> 01:29:14.240
Speaker 12 (Quinlan Conf Room): How?
775
01:29:14.245 --> 01:29:18.765
Speaker 5 (Quinlan Conf Room): recreate is live, and so… And that's…
776
01:29:18.770 --> 01:29:22.000
Speaker 12 (Quinlan Conf Room): That's available with the co-pilot
license? Yes.
777
01:29:22.000 --> 01:29:22.860
Speaker 14 (Quinlan Conf Room): Yeah, and so…
778
01:29:24.380 --> 01:29:25.560
Speaker 4 (Quinlan Conf Room): think about…
779
01:29:25.560 --> 01:29:44.500
Speaker 5 (Quinlan Conf Room): Microsoft 365 Copilot, the paid license,
really as more than just your basic AI summarization tool, right? What
we're calling this 5-in-1 capability, right? And so, it has traditional
chat, which we kind of showcased. It has traditional search, right,
around
780
01:29:44.500 --> 01:29:58.429
Speaker 5 (Quinlan Conf Room): finding people, files, kind of… this was a
previous product, now it's kind of blended into this. The create feature,
which, you know, again, create images, videos, infographics, stories,
posters, you name it.
781
01:29:58.430 --> 01:30:11.890
Speaker 5 (Quinlan Conf Room): Agents is another capability, so again,
first-party agents, third-party agents, internal agents, kind of you name
your agent, that's, that's a feature. The notebook feature is also,
782
01:30:11.940 --> 01:30:13.810
Speaker 5 (Quinlan Conf Room): Available, as well.
783
01:30:15.290 --> 01:30:21.140
Speaker 5 (Quinlan Conf Room): And so, yeah, that's what we're kind of
calling the 5-in-1 app, which is M365K5.
784
01:30:21.400 --> 01:30:25.029
Speaker 1 (Quinlan Conf Room): What are the five of them? You have a
chat, search…
785
01:30:25.030 --> 01:30:30.200
Speaker 5 (Quinlan Conf Room): Chat, create, agents, and notebooks.
786
01:30:31.770 --> 01:30:34.250
Speaker 4 (Quinlan Conf Room): Oh, tabs, nobody talks about the apps.
787
01:30:34.530 --> 01:30:35.699
Speaker 1 (Quinlan Conf Room): Did I get something?
788
01:30:36.060 --> 01:30:42.329
Speaker 5 (Quinlan Conf Room): Oh, this is just the portal for all of…
it's kind of a jumping-off screen for all of the… So you can… using the
apps again.
789
01:30:42.335 --> 01:30:46.845
Speaker 1 (Quinlan Conf Room): Yeah, exactly. Again, starting…
790
01:30:48.960 --> 01:30:53.059
Speaker 13 (Quinlan Conf Room): In the old days, everyone lived through
Outlook.
791
01:30:53.280 --> 01:30:55.119
Speaker 13 (Quinlan Conf Room): And I say old days, like.
792
01:30:55.260 --> 01:30:57.820
Speaker 13 (Quinlan Conf Room): This was… feels like just a couple weeks
ago, but…
793
01:30:58.130 --> 01:31:03.320
Speaker 13 (Quinlan Conf Room): as you work more and more through Teams
as the interface to your meetings, your IMs.
794
01:31:03.860 --> 01:31:06.819
Speaker 13 (Quinlan Conf Room): And now that you're blending in M365
Copilot.
795
01:31:06.825 --> 01:31:07.565
Speaker 4 (Quinlan Conf Room): into the.
796
01:31:07.570 --> 01:31:16.979
Speaker 13 (Quinlan Conf Room): same UI, like, more and more you're
working through this UI than the, I would say, the older paradigm of, I'm
working through an email UI, primarily.
797
01:31:16.980 --> 01:31:18.150
Speaker 4 (Quinlan Conf Room): And so…
798
01:31:18.150 --> 01:31:20.319
Speaker 13 (Quinlan Conf Room): what you're seeing are, how do I get you
jumping.
799
01:31:20.325 --> 01:31:21.295
Speaker 4 (Quinlan Conf Room): into…
800
01:31:21.300 --> 01:31:22.560
Speaker 13 (Quinlan Conf Room): Outlook, or Word.
801
01:31:22.565 --> 01:31:23.595
Speaker 4 (Quinlan Conf Room): or PowerPoint.
802
01:31:23.595 --> 01:31:29.335
Speaker 13 (Quinlan Conf Room): or whatever it is, quickly and easily
from here, so that you're not going down to the bottom, pasted to.
803
01:31:29.335 --> 01:31:30.075
Speaker 4 (Quinlan Conf Room): the.
804
01:31:30.075 --> 01:31:31.045
Speaker 13 (Quinlan Conf Room): bottom ribbon.
805
01:31:31.210 --> 01:31:32.440
Speaker 4 (Quinlan Conf Room): taskbar…
806
01:31:32.700 --> 01:31:33.540
Speaker 13 (Quinlan Conf Room): everything.
807
01:31:33.805 --> 01:31:34.975
Speaker 4 (Quinlan Conf Room): That's what I…
808
01:31:35.540 --> 01:31:42.699
Speaker 13 (Quinlan Conf Room): I've struggled to jump out of that habit,
but it becomes easier and easier the more you're living and doing this.
809
01:31:42.705 --> 01:31:44.145
Speaker 4 (Quinlan Conf Room): pilot accelerates that, I suppose.
810
01:31:44.145 --> 01:31:44.905
Speaker 13 (Quinlan Conf Room): Yup.
811
01:31:44.905 --> 01:31:46.405
Speaker 11 (Quinlan Conf Room): What's the function.
812
01:31:46.405 --> 01:31:51.985
Speaker 8 (Quinlan Conf Room): of this M365 copilot, compared to what
you're talking about?
813
01:31:51.985 --> 01:31:54.794
Speaker 3 (Quinlan Conf Room): one on your phone? Yeah, it's the same.
Same one.
814
01:31:54.800 --> 01:31:55.390
Speaker 14 (Quinlan Conf Room): Same one.
815
01:31:55.390 --> 01:31:58.420
Speaker 1 (Quinlan Conf Room): He doesn't have cold public perim.
816
01:31:58.425 --> 01:32:00.294
Speaker 6 (Quinlan Conf Room): No, he doesn't. Oh, so…
817
01:32:00.300 --> 01:32:03.699
Speaker 12 (Quinlan Conf Room): It doesn't have a license, yeah. No, it's
part of the.
818
01:32:03.705 --> 01:32:05.145
Speaker 8 (Quinlan Conf Room): office, right?
819
01:32:05.145 --> 01:32:06.145
Speaker 14 (Quinlan Conf Room): It's regular.
820
01:32:06.145 --> 01:32:07.505
Speaker 6 (Quinlan Conf Room): One hour. Okay. Yeah.
821
01:32:07.510 --> 01:32:09.900
Speaker 14 (Quinlan Conf Room): The web version. Yeah, so…
822
01:32:09.900 --> 01:32:10.949
Speaker 3 (Quinlan Conf Room): What has the chat?
823
01:32:11.110 --> 01:32:11.900
Speaker 3 (Quinlan Conf Room): Oh.
824
01:32:11.905 --> 01:32:24.975
Speaker 8 (Quinlan Conf Room): And because it told me… I asked it to add
my… the meeting in the email to the calendar, it acted everything. Oh,
should I set up a reminder? I said, yes. It said… then I go to my
calendar, the meeting is now.
825
01:32:24.975 --> 01:32:28.085
Speaker 5 (Quinlan Conf Room): ask you to summarize your email. It
cannot, because.
826
01:32:28.090 --> 01:32:32.289
Speaker 1 (Quinlan Conf Room): It is only the web version, you only have
the web version, it is not connected.
827
01:32:32.295 --> 01:32:36.665
Speaker 5 (Quinlan Conf Room): So everyone in this room has access to
M365.
828
01:32:36.665 --> 01:32:37.635
Speaker 4 (Quinlan Conf Room): pilot shot.
829
01:32:37.790 --> 01:32:42.889
Speaker 5 (Quinlan Conf Room): Right? Your basic AI assistant, which is
just chat. Just chat. Just chat.
830
01:32:42.890 --> 01:32:43.410
Speaker 14 (Quinlan Conf Room): Okay.
831
01:32:43.410 --> 01:32:44.919
Speaker 5 (Quinlan Conf Room): A lot of what I just showed on the.
832
01:32:44.925 --> 01:32:45.845
Speaker 4 (Quinlan Conf Room): screen.
833
01:32:45.850 --> 01:32:47.140
Speaker 5 (Quinlan Conf Room): is paid…
834
01:32:47.145 --> 01:32:50.904
Speaker 14 (Quinlan Conf Room): co-pilot. It's the work.
835
01:32:50.905 --> 01:32:53.145
Speaker 8 (Quinlan Conf Room): acts as if it did it, right? It should
say.
836
01:32:53.145 --> 01:33:05.145
Speaker 1 (Quinlan Conf Room): You don't have access to it, right? But
now, you can use that, say that, give me top three, news today. It will
give you, because it's connected to the internet, but it is not connected
to your… Work.
837
01:33:05.145 --> 01:33:05.905
Speaker 12 (Quinlan Conf Room): It's not connected.
838
01:33:05.905 --> 01:33:06.635
Speaker 3 (Quinlan Conf Room): to outlaw.
839
01:33:06.640 --> 01:33:07.420
Speaker 12 (Quinlan Conf Room): about your calendar.
840
01:33:07.425 --> 01:33:11.685
Speaker 14 (Quinlan Conf Room): Yeah. In Balorama. He likes a lot,
actually.
841
01:33:11.935 --> 01:33:13.385
Speaker 14 (Quinlan Conf Room): No, I would actually…
842
01:33:13.385 --> 01:33:16.685
Speaker 13 (Quinlan Conf Room): Ask it, what calendar did you add it to?
Just out of curiosity.
843
01:33:16.690 --> 01:33:23.299
Speaker 4 (Quinlan Conf Room): And perhaps it went to a separate calendar
service that you have connected, I don't know.
844
01:33:23.300 --> 01:33:26.329
Speaker 13 (Quinlan Conf Room): But yes, on behalf of Microsoft, I
apologize.
845
01:33:26.530 --> 01:33:29.160
Speaker 13 (Quinlan Conf Room): There you go.
846
01:33:29.165 --> 01:33:34.615
Speaker 8 (Quinlan Conf Room): This was some few months back. I wanted it
to transcribe a voice.
847
01:33:34.825 --> 01:33:37.284
Speaker 8 (Quinlan Conf Room): thing. It went through it, and it said.
848
01:33:37.635 --> 01:33:44.684
Speaker 8 (Quinlan Conf Room): done. Then I go through it. It's a pretty
long one. Could have said I can't process 30 minutes of water.
849
01:33:45.405 --> 01:33:52.665
Speaker 8 (Quinlan Conf Room): process, like, few minutes, and then done.
Then I go look at it, it's not done. So maybe the free.
850
01:33:52.665 --> 01:33:57.925
Speaker 12 (Quinlan Conf Room): version only gets you a little bit of
time. Again, like, I encourage you, if you have.
851
01:33:57.925 --> 01:34:07.524
Speaker 5 (Quinlan Conf Room): I had a bad experience with M365 Copilot
probably a couple months ago. I'd encourage you, if you had the paid
license, even if you had chat, free.
852
01:34:07.575 --> 01:34:24.995
Speaker 5 (Quinlan Conf Room): Right? Go test it again, right? We are
adding so much capability, quality improvements, day over day. I cannot
keep track, and we're about to announce a lot more stuff, right? So,
again, with all of our competitors, right, it's around…
853
01:34:25.135 --> 01:34:34.595
Speaker 5 (Quinlan Conf Room): I think tying it back, it's around like a
horse race, right? Like, you have to pick your bets on one platform.
854
01:34:34.845 --> 01:34:36.364
Speaker 5 (Quinlan Conf Room): Or one horse.
855
01:34:36.565 --> 01:34:44.685
Speaker 5 (Quinlan Conf Room): Right? To win the race. Right? And I would
encourage you to methodically think about what that platform is.
856
01:34:44.835 --> 01:34:48.524
Speaker 5 (Quinlan Conf Room): Think about security, compliance,
identity, trust.
857
01:34:48.765 --> 01:34:56.425
Speaker 5 (Quinlan Conf Room): how you tie that into your work
environment, how you tie it into all of the other things that you could
build, you know, with Azure or other.
858
01:34:56.425 --> 01:34:57.984
Speaker 4 (Quinlan Conf Room): cloud providers that.
859
01:34:57.990 --> 01:35:00.219
Speaker 5 (Quinlan Conf Room): I'm not named.
860
01:35:00.330 --> 01:35:12.259
Speaker 5 (Quinlan Conf Room): Right? And think about how that, you know,
we talk about this red thread, right? Where do you start and tie it end
to end. And so, I think, as a next step, right, like, I.
861
01:35:12.265 --> 01:35:13.224
Speaker 4 (Quinlan Conf Room): and encourage you.
862
01:35:13.225 --> 01:35:26.594
Speaker 5 (Quinlan Conf Room): guys to think about secure and basic AI,
right, what you have on your phone today, right, as a priority one. And
whether that's us or another platform.
863
01:35:26.615 --> 01:35:36.235
Speaker 5 (Quinlan Conf Room): That's up to you to decide, right? But we
want you to take the most secure route, right? To mitigate AI sprawl,
because that is a top concern for a lot of customers.
864
01:35:36.235 --> 01:35:36.954
Speaker 4 (Quinlan Conf Room): that I speak.
865
01:35:36.955 --> 01:35:39.895
Speaker 5 (Quinlan Conf Room): to on a daily. I think secondarily.
866
01:35:40.065 --> 01:35:55.034
Speaker 5 (Quinlan Conf Room): you guys do have paid licenses, and you're
doing… maybe you're just playing around with it, maybe you're going
through an actual pilot, but I'd encourage you all, at least everyone in
this room, to get licensed for M365 Copilot, just to test out.
867
01:35:55.040 --> 01:35:55.800
Speaker 4 (Quinlan Conf Room): 13.
868
01:35:56.070 --> 01:35:57.559
Speaker 4 (Quinlan Conf Room): To go through and capture.
869
01:35:58.835 --> 01:36:08.394
Speaker 5 (Quinlan Conf Room): think about some use cases that we've
shared, and figure out high-value use cases, and we can, we can help, we
can bring in a partner.
870
01:36:08.400 --> 01:36:17.989
Speaker 12 (Quinlan Conf Room): It would be great if you could point us
to, like, a really good website, or even, like, a YouTube person that
can…
871
01:36:18.260 --> 01:36:26.080
Speaker 12 (Quinlan Conf Room): Show you the really key, useful tools or
features that you have, because
872
01:36:26.140 --> 01:36:41.689
Speaker 12 (Quinlan Conf Room): Like I said, we all… we have it, we use
it, you know, we… we definitely are pushing people to try it, but they
do. They try it for a couple things, and it's… it doesn't work for them
as well as some other tools, so they're not sticking with it. So if
there's…
873
01:36:41.810 --> 01:36:45.060
Speaker 12 (Quinlan Conf Room): Something, like, you know, like the…
874
01:36:45.980 --> 01:36:48.699
Speaker 14 (Quinlan Conf Room): Email. I wish how they're using it. I
didn't have email.
875
01:36:48.705 --> 01:37:06.794
Speaker 12 (Quinlan Conf Room): just specific things, like, oh, hey, you
know, and for real people that are using it, I almost would go to Sudeep
and say, now that you're using it, what are your key things that you're
using it for? Because I want to know that, because I don't have time to
go through the laundry list, or to watch the…
876
01:37:06.875 --> 01:37:20.964
Speaker 12 (Quinlan Conf Room): forever video, you know what I mean?
Like, we use Planner quite a bit, and I know in the last Ignite, there
were a lot of really cool improvements. Well, you know, yeah, I just want
to know quickly how I can take advantage of this.
877
01:37:20.965 --> 01:37:25.034
Speaker 5 (Quinlan Conf Room): for some key ones, right? And this is not
agnostic to
878
01:37:25.315 --> 01:37:31.985
Speaker 5 (Quinlan Conf Room): local government, but these are, I think,
Microsoft's Tribbing through, top 10, driving.
879
01:37:31.985 --> 01:37:33.505
Speaker 4 (Quinlan Conf Room): But I don't want to.
880
01:37:33.505 --> 01:37:38.915
Speaker 11 (Quinlan Conf Room): blow up your spot, but you didn't say
number… you kind of contradicted yourself for number 9 earlier.
881
01:37:41.120 --> 01:37:49.039
Speaker 13 (Quinlan Conf Room): Oh, just… In terms of… him saying, hey,
we've got an update coming.
882
01:37:49.040 --> 01:38:02.950
Speaker 5 (Quinlan Conf Room): For someone like me, I don't know Excel
very well. It can probably help me. For your finance person, it's
probably not going to be beneficial, right? It's democratizing AI, I'm
sorry, democratizing
883
01:38:03.470 --> 01:38:07.120
Speaker 5 (Quinlan Conf Room): like, intelligence, and how we work across
the board, and so…
884
01:38:07.125 --> 01:38:10.994
Speaker 11 (Quinlan Conf Room): And I think just based off what Terry was
saying, what we're looking for is, like.
885
01:38:11.105 --> 01:38:21.135
Speaker 11 (Quinlan Conf Room): I'm reading that, and I would say, hey,
someone in finance, come look at it. But then I hear what you said, and
so then I'm like, alright, then this is a… we need a more pointed way to,
like.
886
01:38:21.585 --> 01:38:25.144
Speaker 11 (Quinlan Conf Room): you know, evangelize the people to do
this. Yeah, yeah.
887
01:38:25.145 --> 01:38:27.384
Speaker 4 (Quinlan Conf Room): Makes perfect sense, and are mobilized.
888
01:38:27.385 --> 01:38:33.364
Speaker 13 (Quinlan Conf Room): I'm hearing you both loud and clear. Hero
prompts would be helpful. Yes, that could be something that we follow up
with, and those are kind.
889
01:38:33.365 --> 01:38:39.194
Speaker 4 (Quinlan Conf Room): 10 starting spots. And then, you know, I
also just…
890
01:38:39.890 --> 01:38:44.619
Speaker 13 (Quinlan Conf Room): One of the things I've seen in some of
the other cities that have chat.
891
01:38:45.270 --> 01:38:46.689
Speaker 4 (Quinlan Conf Room): Is web toggled off?
892
01:38:46.950 --> 01:38:48.330
Speaker 4 (Quinlan Conf Room): And I…
893
01:38:48.330 --> 01:38:50.480
Speaker 13 (Quinlan Conf Room): I recognize we're going back and forth
between
894
01:38:50.880 --> 01:39:04.460
Speaker 13 (Quinlan Conf Room): When web is toggled off, and I'm using
that compared to a consumer-grade AI tool, commonly that's where I see
the commonality of, how come GPT gave me a bunch of good answers about
how to cook a recipe?
895
01:39:04.465 --> 01:39:10.734
Speaker 4 (Quinlan Conf Room): Like, this comes back to, what are the
prompts that you're doing, and where are we trying to get to with this?
896
01:39:10.740 --> 01:39:16.530
Speaker 13 (Quinlan Conf Room): And I think that can be where some of the
hero prompts come, but where I've seen the common thread for, hey, co-
pilot's not.
897
01:39:16.535 --> 01:39:18.335
Speaker 4 (Quinlan Conf Room): given Webb's turned.
898
01:39:18.340 --> 01:39:19.060
Speaker 13 (Quinlan Conf Room): off.
899
01:39:19.410 --> 01:39:21.400
Speaker 13 (Quinlan Conf Room): And only grounded in work.
900
01:39:21.510 --> 01:39:25.059
Speaker 13 (Quinlan Conf Room): And comparing that to stuff that is
grounded, potentially.
901
01:39:25.350 --> 01:39:29.930
Speaker 13 (Quinlan Conf Room): In some work doc, because you're feeding
in a work doc, and having… Right.
902
01:39:30.190 --> 01:39:33.740
Speaker 13 (Quinlan Conf Room): And so, just… that can be one of the
gotchas that I.
903
01:39:33.745 --> 01:39:36.824
Speaker 4 (Quinlan Conf Room): I've seen elsewhere where they… where
we've gotten that feedback, it's like, well.
904
01:39:36.830 --> 01:39:38.999
Speaker 13 (Quinlan Conf Room): Let's turn on web and give it the same,
and.
905
01:39:39.005 --> 01:39:41.925
Speaker 4 (Quinlan Conf Room): now you're closer to apples to apples. So
just… I'm not saying…
906
01:39:41.925 --> 01:39:45.255
Speaker 13 (Quinlan Conf Room): That was the case, just one of the things
I've seen. Can I just add one last thing?
907
01:39:45.450 --> 01:40:02.119
Speaker 6 (Quinlan Conf Room): Analyst Agent is actually… is soundproof
for me in terms of… that is the place where, for finance, that's where
you do embed all the different Excels that you have. Like, I have a
finance call, like, every week, you know, to see the numbers on small
business. And I feed it Excels and actually data…
908
01:40:02.370 --> 01:40:14.399
Speaker 6 (Quinlan Conf Room): PowerPoints with all, like, the numbers
from licensing motion. I feed it into that, and it gives me exactly,
like, how to interpret the data by slide, what are the queries, what are
the questions to ask, what are the gaps, and I think it's just…
909
01:40:14.400 --> 01:40:29.519
Speaker 6 (Quinlan Conf Room): That is the place that I would say the
finance department would use, as we're showing very well, is to see,
really, how you can, you know, look through piece of data. I use it a lot
also for looking at lead generation. So I put Excels in there, and I say,
okay, I have leads coming in from different sources.
910
01:40:29.520 --> 01:40:36.240
Speaker 6 (Quinlan Conf Room): Give me the graph, show me what are the
sources, how is the historical trend, and then I can start analyzing that
with our team, with our vendor team.
911
01:40:36.240 --> 01:40:41.970
Speaker 6 (Quinlan Conf Room): So, I would say… Yeah, that would be the
place to go, but it's really self-proof. Very good.
912
01:40:41.970 --> 01:40:48.199
Speaker 5 (Quinlan Conf Room): I don't know if your finance department
even knows of AMS. Because it is… sorry, yeah.
913
01:40:48.980 --> 01:40:54.040
Speaker 12 (Quinlan Conf Room): It's already there for the people that
have Copilot. Exactly. Yep.
914
01:40:54.350 --> 01:40:57.700
Speaker 6 (Quinlan Conf Room): The license, license, yes. Chair?
915
01:40:57.705 --> 01:40:58.725
Speaker 11 (Quinlan Conf Room): Power query stuff.
916
01:40:58.730 --> 01:41:01.000
Speaker 2 (Quinlan Conf Room): Can you go to public comment? Yeah.
917
01:41:01.230 --> 01:41:02.520
Speaker 2 (Quinlan Conf Room): public comments.
918
01:41:04.200 --> 01:41:06.600
Speaker 10 (Quinlan Conf Room): We have no speakers. Okay.
919
01:41:10.030 --> 01:41:14.590
Speaker 10 (Quinlan Conf Room): Are you going to extend this
presentation? Yeah, absolutely.
920
01:41:15.670 --> 01:41:18.750
Speaker 10 (Quinlan Conf Room): Thank you very much.
921
01:41:18.755 --> 01:41:19.345
Speaker 4 (Quinlan Conf Room): And I would just add.
922
01:41:19.350 --> 01:41:28.630
Speaker 13 (Quinlan Conf Room): did this hit the mark for, like, what you
were hoping to see? Did this spur some thought and ideas for you all?
Does this give you… Yes.
923
01:41:29.810 --> 01:41:32.409
Speaker 13 (Quinlan Conf Room): Thoughts on where to go, how to go?
924
01:41:32.410 --> 01:41:36.700
Speaker 4 (Quinlan Conf Room): Curry's happy, unhappy. Noted.
925
01:41:36.875 --> 01:41:51.044
Speaker 5 (Quinlan Conf Room): We wanted this to be just, again, thought-
provoking, but of course, I'd love to follow up and dive into use cases.
Yeah, I would love that. Like, let's get a park grant, let's go. Again,
like, I want to make it relevant for everyone.
926
01:41:51.050 --> 01:41:52.259
Speaker 14 (Quinlan Conf Room): That would be great.
927
01:41:52.265 --> 01:42:00.484
Speaker 6 (Quinlan Conf Room): And Makesh just pulls up, they said three
things. I just hope that we touched on them. You said cybersecurity,
efficiency, and customer experience, as you were saying.
928
01:42:00.485 --> 01:42:04.224
Speaker 7 (Quinlan Conf Room): What are the, crisis management… Crisis
management.
929
01:42:04.225 --> 01:42:10.614
Speaker 6 (Quinlan Conf Room): Is there anything missing on your top list
that you think that we can dive into to make sure we cover that in the
next session, and maybe the following?
930
01:42:10.615 --> 01:42:20.295
Speaker 7 (Quinlan Conf Room): We spend a lot of time on the efficiency
movement. Yes, yes, yeah. And the services, how can we improve services
for our citizens, I think.
931
01:42:20.970 --> 01:42:25.270
Speaker 12 (Quinlan Conf Room): That's something… I think that's
something, yeah, we gotta follow up on.
932
01:42:25.270 --> 01:42:25.950
Speaker 14 (Quinlan Conf Room): Yeah.
933
01:42:25.950 --> 01:42:43.940
Speaker 1 (Quinlan Conf Room): I wanted to touch upon that also. Like,
today's session was more about the implied productivity side of it. Yes,
yes. But the city provides lots of services, you know, and, he said, I
was expecting to see some of the use cases… Yeah. …in public,
934
01:42:43.945 --> 01:42:46.204
Speaker 12 (Quinlan Conf Room): Specifically, like, permitting…
935
01:42:46.205 --> 01:42:46.945
Speaker 6 (Quinlan Conf Room): one.
936
01:42:46.950 --> 01:42:54.710
Speaker 1 (Quinlan Conf Room): Not limited, probably not limited to
Microsoft Copilot, probably going to the Azure AI or something, like, no?
We definitely.
937
01:42:54.710 --> 01:42:56.720
Speaker 5 (Quinlan Conf Room): We have 311, and.
938
01:42:56.725 --> 01:43:05.654
Speaker 4 (Quinlan Conf Room): we definitely have… we can talk and, you
know, offline around pricing. Could you show those 8 problems real quick?
Because that might spur some thought.
939
01:43:06.580 --> 01:43:08.119
Speaker 13 (Quinlan Conf Room): Do we have 5 more minutes?
940
01:43:08.380 --> 01:43:09.180
Speaker 13 (Quinlan Conf Room): Yep.
941
01:43:10.200 --> 01:43:13.380
Quinlan Conf Room: So… in my…
942
01:43:14.710 --> 01:43:16.410
Speaker 13 (Quinlan Conf Room): So I'm not as smart as Spencer.
943
01:43:16.790 --> 01:43:19.220
Speaker 13 (Quinlan Conf Room): I'm not as technically savvy as he is.
944
01:43:19.410 --> 01:43:26.439
Speaker 13 (Quinlan Conf Room): But one of the things I did do was
prompt, I think it's in… do you have the separate one, or… Oh.
945
01:43:26.720 --> 01:43:33.659
Speaker 13 (Quinlan Conf Room): Oh, that's the… and I just want to show
it purely to show where it's got source links to ideas.
946
01:43:33.870 --> 01:43:37.589
Speaker 13 (Quinlan Conf Room): that I think will prompt some additional…
the problems.
947
01:43:45.630 --> 01:43:46.560
Quinlan Conf Room: Mostly.
948
01:43:47.830 --> 01:43:52.120
Speaker 13 (Quinlan Conf Room): problems you're solving. I have.
949
01:43:59.540 --> 01:44:05.059
Speaker 1 (Quinlan Conf Room): And Spencer, are you showing some machine
learning stuff or not? Bajor AI stuff or not? So, and…
950
01:44:06.260 --> 01:44:14.420
Speaker 13 (Quinlan Conf Room): So what you can't see, which we will send
as a follow-up, so there's 8 use cases that, within a few prompts, came
up with ideas that.
951
01:44:14.420 --> 01:44:16.500
Speaker 4 (Quinlan Conf Room): So, this one was…
952
01:44:16.505 --> 01:44:19.215
Speaker 13 (Quinlan Conf Room): Permitting to support housing and
business growth.
953
01:44:19.560 --> 01:44:26.999
Speaker 4 (Quinlan Conf Room): The supporting docs came from, why is this
Cupertino specific? It's been publicly notes, extended.
954
01:44:27.005 --> 01:44:27.785
Speaker 13 (Quinlan Conf Room): plan review.
955
01:44:27.785 --> 01:44:38.285
Speaker 4 (Quinlan Conf Room): driven by volume and staffing, it gave me
a source link there. AI jobs to be done. Prescreen applications, extract
key permit data, flag missing documents, draft initial reviewer notes.
956
01:44:38.285 --> 01:44:41.219
Speaker 13 (Quinlan Conf Room): Send that to someone so they're not doing
all the legwork.
957
01:44:41.245 --> 01:44:43.744
Speaker 4 (Quinlan Conf Room): And getting to a decision faster. Would
you go to the next one?
958
01:44:44.710 --> 01:44:47.000
Speaker 13 (Quinlan Conf Room): So, how do I balance speed and accuracy
in resolution?
959
01:44:47.005 --> 01:44:49.705
Speaker 4 (Quinlan Conf Room): engagement. So, high-volume service
requests.
960
01:44:49.705 --> 01:44:57.965
Speaker 13 (Quinlan Conf Room): 311's primary resident engagement
channel, response speed drives trust, so how do we auto-classify and
dedupe some of those inquiries?
961
01:44:57.965 --> 01:45:02.455
Speaker 4 (Quinlan Conf Room): Some of the source links there were,
962
01:45:02.875 --> 01:45:09.945
Speaker 4 (Quinlan Conf Room): While the 311 is its reporting tool with
categories like potholes, graffiti, and dashboard experience, jobs to be
done, how do I auto-classify.
963
01:45:09.945 --> 01:45:15.085
Speaker 13 (Quinlan Conf Room): incoming requests, detect duplicates,
prioritize safety hazards. If you go to the next one.
964
01:45:15.635 --> 01:45:18.565
Speaker 13 (Quinlan Conf Room): What this isn't showing is just problems.
965
01:45:18.565 --> 01:45:19.325
Speaker 4 (Quinlan Conf Room): If I can ask?
966
01:45:19.325 --> 01:45:22.594
Speaker 1 (Quinlan Conf Room): ask, who gave you these use cases? This is
from you?
967
01:45:22.595 --> 01:45:27.735
Speaker 5 (Quinlan Conf Room): This is from Microsoft, keep me honest,
but this is from Microsoft 365 Copilot and Research.
968
01:45:27.740 --> 01:45:29.100
Speaker 4 (Quinlan Conf Room): Oh, this is Microsoft?
969
01:45:29.105 --> 01:45:34.305
Speaker 1 (Quinlan Conf Room): 365 Copilot Research, like, how can
Microsoft help? Yes. In preparation…
970
01:45:34.305 --> 01:45:41.845
Speaker 4 (Quinlan Conf Room): How would that be relevant, because
Prabhir said, bring me relevant use cases for AI. I've never worked with
the city before.
971
01:45:41.845 --> 01:45:45.185
Speaker 13 (Quinlan Conf Room): And I'm sitting here going, holy smokes,
I don't know many of your.
972
01:45:45.190 --> 01:45:47.800
Speaker 4 (Quinlan Conf Room): business problems. Yeah. AI, help me.
973
01:45:47.805 --> 01:45:48.564
Speaker 13 (Quinlan Conf Room): Okay, and…
974
01:45:48.565 --> 01:45:50.045
Speaker 4 (Quinlan Conf Room): So this is where he came up with.
975
01:45:50.045 --> 01:45:51.075
Speaker 13 (Quinlan Conf Room): ideas.
976
01:45:51.080 --> 01:45:53.059
Speaker 4 (Quinlan Conf Room): Shepard's not that.
977
01:45:53.065 --> 01:46:01.345
Speaker 1 (Quinlan Conf Room): Guys, my question was not that, correct?
Anybody can do that, I can also do that. Yeah.
978
01:46:01.350 --> 01:46:02.050
Speaker 14 (Quinlan Conf Room): was…
979
01:46:02.050 --> 01:46:14.470
Speaker 1 (Quinlan Conf Room): like, how you are helping other cities
today, and what are the use cases you have implemented? Yes. Have you
implemented, let's say, she's coming from San Diego. Do you work with San
Diego County or city…
980
01:46:14.710 --> 01:46:20.069
Speaker 1 (Quinlan Conf Room): do they use? Is there any use cases you
have implemented already? Yes, so…
981
01:46:20.075 --> 01:46:22.315
Speaker 8 (Quinlan Conf Room): I think the Bellevue usage…
982
01:46:22.315 --> 01:46:23.344
Speaker 13 (Quinlan Conf Room): Everyone always wants.
983
01:46:23.345 --> 01:46:26.075
Speaker 4 (Quinlan Conf Room): I think… I think, too.
984
01:46:26.075 --> 01:46:40.314
Speaker 5 (Quinlan Conf Room): We have multiple cities doing 311 today.
311, okay. I'm personally involved, and I can't… I'm not the specialist
in 311, but I know our team is working on it. And 311 on my.
985
01:46:40.315 --> 01:46:42.555
Speaker 1 (Quinlan Conf Room): Microsoft Copilot.
986
01:46:42.555 --> 01:46:45.555
Speaker 5 (Quinlan Conf Room): That's a Dynamics 365. Okay.
987
01:46:46.315 --> 01:46:54.964
Speaker 12 (Quinlan Conf Room): Yeah, so I was wondering, did it augment
their 311 application, just like the AI side of it, or is it a full-blown
application?
988
01:46:55.320 --> 01:46:56.809
Speaker 7 (Quinlan Conf Room): This is… this is coming.
989
01:46:56.815 --> 01:47:00.594
Speaker 1 (Quinlan Conf Room): Yeah, okay. Yes, perfect.
990
01:47:00.595 --> 01:47:03.675
Speaker 5 (Quinlan Conf Room): And… and I believe Teams… Teams block me
as well.
991
01:47:03.680 --> 01:47:05.830
Speaker 4 (Quinlan Conf Room): Yeah. There's another, like.
992
01:47:05.835 --> 01:47:06.674
Speaker 13 (Quinlan Conf Room): New York City.
993
01:47:06.675 --> 01:47:07.385
Speaker 4 (Quinlan Conf Room): Authority.
994
01:47:07.390 --> 01:47:08.080
Speaker 13 (Quinlan Conf Room): NYCHA?
995
01:47:08.350 --> 01:47:08.940
Speaker 4 (Quinlan Conf Room): They do a lot.
996
01:47:08.945 --> 01:47:12.924
Speaker 13 (Quinlan Conf Room): Lots of repairs within, dwellings within
the city.
997
01:47:13.040 --> 01:47:17.850
Speaker 4 (Quinlan Conf Room): And they have an automated portal there.
What technology? Copilot.
998
01:47:17.855 --> 01:47:20.894
Speaker 13 (Quinlan Conf Room): and studio, and then, you know.
999
01:47:21.100 --> 01:47:22.570
Speaker 4 (Quinlan Conf Room): City of Austin, for code.
1000
01:47:22.570 --> 01:47:26.049
Speaker 13 (Quinlan Conf Room): ordinance and citizen engagement to that.
1001
01:47:26.055 --> 01:47:27.064
Speaker 4 (Quinlan Conf Room): all through Copilot.
1002
01:47:27.065 --> 01:47:28.454
Speaker 13 (Quinlan Conf Room): in Copilot Studio.
1003
01:47:28.460 --> 01:47:29.110
Speaker 4 (Quinlan Conf Room): So, we.
1004
01:47:29.115 --> 01:47:31.165
Speaker 13 (Quinlan Conf Room): We have examples. Now, here's the
reality.
1005
01:47:31.165 --> 01:47:32.724
Speaker 4 (Quinlan Conf Room): And I mentioned this earlier.
1006
01:47:32.835 --> 01:47:34.355
Speaker 4 (Quinlan Conf Room): A lot of our customers.
1007
01:47:34.675 --> 01:47:36.225
Speaker 13 (Quinlan Conf Room): Frankly, are still going through.
1008
01:47:36.230 --> 01:47:37.649
Speaker 4 (Quinlan Conf Room): Through the data governance.
1009
01:47:37.800 --> 01:47:38.940
Speaker 4 (Quinlan Conf Room): and getting.
1010
01:47:38.940 --> 01:47:41.090
Speaker 13 (Quinlan Conf Room): It's their… their house is in order.
1011
01:47:41.095 --> 01:47:44.314
Speaker 4 (Quinlan Conf Room): A lot of them are starting with internal.
How do I build capabilities.
1012
01:47:44.320 --> 01:47:44.990
Speaker 13 (Quinlan Conf Room): and capacity.
1013
01:47:44.995 --> 01:47:48.574
Speaker 4 (Quinlan Conf Room): in our walls, so that we can push out of
our walls.
1014
01:47:48.575 --> 01:47:49.685
Speaker 13 (Quinlan Conf Room): So a lot of the momentum.
1015
01:47:49.685 --> 01:47:51.575
Speaker 4 (Quinlan Conf Room): It's really on chat.
1016
01:47:52.125 --> 01:47:54.635
Speaker 13 (Quinlan Conf Room): M365, reasoning over my.
1017
01:47:54.635 --> 01:47:56.815
Speaker 4 (Quinlan Conf Room): docs, preparation, boring.
1018
01:47:56.815 --> 01:47:57.655
Speaker 13 (Quinlan Conf Room): stuff.
1019
01:47:57.660 --> 01:47:58.310
Speaker 4 (Quinlan Conf Room): Right? And we're.
1020
01:47:58.315 --> 01:48:00.184
Speaker 13 (Quinlan Conf Room): We're starting to get to some of the
citizens.
1021
01:48:00.190 --> 01:48:04.139
Speaker 4 (Quinlan Conf Room): facing stuff. And that's where I'm
mentioning a handful of those.
1022
01:48:04.250 --> 01:48:05.560
Speaker 4 (Quinlan Conf Room): But…
1023
01:48:05.815 --> 01:48:08.174
Speaker 13 (Quinlan Conf Room): ones I can talk about publicly on a
public forum.
1024
01:48:08.180 --> 01:48:09.570
Speaker 4 (Quinlan Conf Room): public record.
1025
01:48:09.575 --> 01:48:12.575
Speaker 13 (Quinlan Conf Room): I am somewhat limited to those who have
gone public.
1026
01:48:12.575 --> 01:48:16.965
Speaker 4 (Quinlan Conf Room): done things like, hey, we're posting here
on Bellevue, and things of the like.
1027
01:48:17.785 --> 01:48:22.975
Speaker 4 (Quinlan Conf Room): Our job right now is to spur ideas for
you, because it is new.
1028
01:48:22.975 --> 01:48:24.104
Speaker 13 (Quinlan Conf Room): And what is the most.
1029
01:48:24.105 --> 01:48:28.990
Speaker 4 (Quinlan Conf Room): Risk aversion customer counties and
states, in Bay.
1030
01:48:29.160 --> 01:48:31.740
Speaker 13 (Quinlan Conf Room): You know, so, like, those are the
segments.
1031
01:48:31.900 --> 01:48:32.920
Speaker 13 (Quinlan Conf Room): Better…
1032
01:48:33.460 --> 01:48:38.769
Speaker 4 (Quinlan Conf Room): You go in the paper for all the wrong
reasons if you get it wrong, and you don't go in the paper for the right
reasons when.
1033
01:48:38.770 --> 01:48:43.990
Speaker 13 (Quinlan Conf Room): you get it right, so we're gonna measure
thrice and cut once on these things. And again.
1034
01:48:43.995 --> 01:48:48.114
Speaker 4 (Quinlan Conf Room): I think that's where the world is right
now with risk-averse orbs.
1035
01:48:48.215 --> 01:48:49.235
Speaker 4 (Quinlan Conf Room): And that's where…
1036
01:48:49.235 --> 01:48:52.265
Speaker 13 (Quinlan Conf Room): I see a lot of the momentum brewing in-
house.
1037
01:48:52.270 --> 01:48:56.130
Speaker 4 (Quinlan Conf Room): Build capability and confidence on how to
do this. Go external. That's not safe.
1038
01:48:56.130 --> 01:48:58.730
Speaker 13 (Quinlan Conf Room): We don't have some. We talked about some
of them.
1039
01:48:59.380 --> 01:49:01.379
Speaker 4 (Quinlan Conf Room): Part of our job is to figure out, how do
I.
1040
01:49:01.385 --> 01:49:02.125
Speaker 13 (Quinlan Conf Room): you to think.
1041
01:49:02.130 --> 01:49:09.900
Speaker 4 (Quinlan Conf Room): of what the best use case is for you all,
which is what we were trying to do with some of these examples, which you
can stop presenting. The idea was spur creativity.
1042
01:49:09.900 --> 01:49:10.390
Speaker 13 (Quinlan Conf Room): I hope.
1043
01:49:10.395 --> 01:49:12.254
Speaker 4 (Quinlan Conf Room): That helps, Sudip. Yeah, that helps.
1044
01:49:12.255 --> 01:49:12.835
Speaker 13 (Quinlan Conf Room): And thank you.
1045
01:49:12.835 --> 01:49:16.124
Speaker 1 (Quinlan Conf Room): Does your team, use, GitHub profile later
today?
1046
01:49:17.405 --> 01:49:19.584
Speaker 1 (Quinlan Conf Room): No? No. No?
1047
01:49:21.240 --> 01:49:23.290
Speaker 13 (Quinlan Conf Room): Do we have many in-house developers?
1048
01:49:24.000 --> 01:49:26.180
Speaker 14 (Quinlan Conf Room): A handful. A handful.
1049
01:49:26.180 --> 01:49:32.129
Speaker 13 (Quinlan Conf Room): And you have Visual Studio today, so we
have .NET apps, you know, okay. So…
1050
01:49:32.660 --> 01:49:40.069
Speaker 13 (Quinlan Conf Room): GitHub Copilots, like, are you using that
in your day job? It sounds like you're pretty savvy.
1051
01:49:40.075 --> 01:49:43.864
Speaker 1 (Quinlan Conf Room): We use it. I run data and AI for my
company, so…
1052
01:49:43.965 --> 01:49:58.085
Speaker 1 (Quinlan Conf Room): So we have about, like, 2,000, co-pilot
licenses, across the company. So around that is around, 15-20% of
employees, not all of them. Yeah. They started with the start. GitHub co-
pilot…
1053
01:49:58.085 --> 01:49:59.345
Speaker 4 (Quinlan Conf Room): My team, my team uses it.
1054
01:49:59.345 --> 01:50:00.475
Speaker 7 (Quinlan Conf Room): Copilot.
1055
01:50:01.310 --> 01:50:03.950
Speaker 1 (Quinlan Conf Room): Yeah, it helps a lot.
1056
01:50:03.955 --> 01:50:04.735
Speaker 4 (Quinlan Conf Room): Then I won't…
1057
01:50:04.735 --> 01:50:15.965
Speaker 13 (Quinlan Conf Room): I won't even go into my thoughts on it.
You sell your experience, or tell and share your experience once we've
left, but I just keep hearing exactly that. Like, it's amazing shortening
time.
1058
01:50:15.965 --> 01:50:18.065
Speaker 4 (Quinlan Conf Room): to code out the board.
1059
01:50:18.065 --> 01:50:19.425
Speaker 13 (Quinlan Conf Room): presentation. Okay.
1060
01:50:19.755 --> 01:50:20.425
Speaker 13 (Quinlan Conf Room): Perfect.
1061
01:50:20.425 --> 01:50:21.185
Speaker 14 (Quinlan Conf Room): Awesome.
1062
01:50:21.185 --> 01:50:21.925
Speaker 8 (Quinlan Conf Room): Thank you, Jessica.
1063
01:50:21.930 --> 01:50:25.500
Speaker 14 (Quinlan Conf Room): Thank you very much. Appreciate it.
1064
01:50:25.500 --> 01:50:26.829
Speaker 7 (Quinlan Conf Room): Thank you so much. Thank you.
1065
01:50:27.010 --> 01:50:28.940
Speaker 7 (Quinlan Conf Room): Pleasure to meet you.
1066
01:50:38.220 --> 01:50:40.670
Quinlan Conf Room: Three people who joined?
1067
01:50:41.380 --> 01:50:44.559
Speaker 13 (Quinlan Conf Room): Maybe one more. One more sandwich.
1068
01:50:44.870 --> 01:50:48.230
Speaker 2 (Quinlan Conf Room): Huh? Oh, thank you.
1069
01:50:50.420 --> 01:50:53.729
Speaker 2 (Quinlan Conf Room): Nice to meet you. It's okay.
1070
01:50:53.730 --> 01:50:55.439
Quinlan Conf Room: Okay, no, it's fair.
1071
01:51:00.885 --> 01:51:06.595
Speaker 7 (Quinlan Conf Room): Oh, you did? Yeah, and the shit. Here we
go. Thank you so much.
1072
01:51:06.600 --> 01:51:10.189
Quinlan Conf Room: middle. Thank you so much. Thank you.
1073
01:51:10.190 --> 01:51:13.570
Speaker 9 (Quinlan Conf Room): Thank you, thank you so much for making
sure I'm not…
1074
01:51:14.320 --> 01:51:17.550
Speaker 4 (Quinlan Conf Room): I'm sorry, guys.
1075
01:51:17.900 --> 01:51:21.589
Speaker 4 (Quinlan Conf Room): Thank you, thank you. And I'd say thank
you for on the show.
1076
01:51:21.595 --> 01:51:24.545
Speaker 13 (Quinlan Conf Room): Thank you. Thank you so much, Jen.
1077
01:51:25.720 --> 01:51:31.490
Speaker 5 (Quinlan Conf Room): Enjoy your evening. Yes. Yes, yes. Great
speaking with you, everybody.
1078
01:51:31.490 --> 01:51:32.800
Quinlan Conf Room: Excellent. Yep.
1079
01:51:33.010 --> 01:51:34.000
Quinlan Conf Room: Thank you.
1080
01:51:36.800 --> 01:51:39.550
Speaker 5 (Quinlan Conf Room): Okay, that's it? Or two and a half.
1081
01:51:39.555 --> 01:51:47.974
Speaker 3 (Quinlan Conf Room): I think we wanted to briefly chat about
the work plan, but I don't… I didn't really have any action items on it.
Yeah, there is a committee.
1082
01:51:49.285 --> 01:51:50.474
Quinlan Conf Room: Real one more?
1083
01:51:50.635 --> 01:51:51.475
Speaker 3 (Quinlan Conf Room): Sorry.
1084
01:51:51.480 --> 01:51:57.080
Speaker 12 (Quinlan Conf Room): We had a hand raised once, but they put
it down. Okay. Yeah. Do you have those suckers?
1085
01:51:57.660 --> 01:52:01.330
Speaker 12 (Quinlan Conf Room): We have a speaker? We have no speakers
for this meeting.
1086
01:52:03.250 --> 01:52:04.450
Quinlan Conf Room: So…
1087
01:52:05.150 --> 01:52:07.140
Speaker 12 (Quinlan Conf Room): We need to review our plans.
1088
01:52:09.000 --> 01:52:11.510
Quinlan Conf Room: Here's the one linked on one of the pages.
1089
01:52:13.900 --> 01:52:16.929
Speaker 1 (Quinlan Conf Room): Can you test for it? Yeah, yeah, 2026,
what's 20.
1090
01:52:17.680 --> 01:52:22.809
Speaker 1 (Quinlan Conf Room): Maybe include in the next, kick it down.
1091
01:52:22.815 --> 01:52:24.375
Speaker 3 (Quinlan Conf Room): Terry, is that okay?
1092
01:52:24.375 --> 01:52:30.325
Speaker 1 (Quinlan Conf Room): I propose to push this agenda to the next?
Yes. Okay. But we need to work on this, right?
1093
01:52:31.280 --> 01:52:33.990
Speaker 12 (Quinlan Conf Room): We worked on it a little bit last time,
but we can work on it next.
1094
01:52:33.995 --> 01:52:37.485
Speaker 1 (Quinlan Conf Room): Well, in detail, because this needs lots
of detailed discussion here.
1095
01:52:37.865 --> 01:52:42.565
Speaker 1 (Quinlan Conf Room): Okay, is that okay? Yeah, I think we're
done. On this item, item number 4?
1096
01:52:43.120 --> 01:52:44.029
Speaker 9 (Quinlan Conf Room): Is that what you're saying?
1097
01:52:44.400 --> 01:52:46.889
Speaker 9 (Quinlan Conf Room): Yes, that's the merchant right there.
1098
01:52:46.890 --> 01:52:50.660
Speaker 3 (Quinlan Conf Room): I'm gonna second that.
1099
01:52:50.660 --> 01:52:51.860
Speaker 14 (Quinlan Conf Room): Okay.
1100
01:52:55.970 --> 01:52:58.543
Quinlan Conf Room: I'm alone.
1101
01:53:00.860 --> 01:53:02.790
Quinlan Conf Room: Alright, let's go ahead and do a vote.
1102
01:53:03.300 --> 01:53:04.650
Speaker 2 (Quinlan Conf Room): Commissioner Dothi?
1103
01:53:04.780 --> 01:53:05.810
Speaker 2 (Quinlan Conf Room): Approved.
1104
01:53:06.110 --> 01:53:14.929
Speaker 2 (Quinlan Conf Room): Commissioner Gard? Approved. Commissioner
Siri? Approved. Vice Chair Kumar? Approved. Chairmani? Approved. The
motion passed, and is submitted.
1105
01:53:17.080 --> 01:53:21.559
Speaker 2 (Quinlan Conf Room): Okay, commissioned poetry can probably
update after this. Yeah.
1106
01:53:21.565 --> 01:53:25.365
Speaker 3 (Quinlan Conf Room): Are you planning on March 18th? March
18th.
1107
01:53:26.480 --> 01:53:31.869
Speaker 10 (Quinlan Conf Room): Yeah, we did have some, mayor's meeting
after that.
1108
01:53:32.880 --> 01:53:35.000
Speaker 3 (Quinlan Conf Room): When was the last one? March 18th is
inter…
1109
01:53:35.100 --> 01:53:37.559
Speaker 3 (Quinlan Conf Room): The last one should have been, like,
December.
1110
01:53:37.780 --> 01:53:43.800
Speaker 3 (Quinlan Conf Room): Oh, so… meetings since then. Yeah, there's
been no meetings since no.
1111
01:53:44.300 --> 01:53:46.919
Speaker 3 (Quinlan Conf Room): Okay. No, not yet.
1112
01:53:49.540 --> 01:53:51.679
Speaker 3 (Quinlan Conf Room): Anyone have any items for the sticks?
1113
01:53:53.800 --> 01:53:54.879
Speaker 12 (Quinlan Conf Room): Question or report?
1114
01:53:57.870 --> 01:54:01.979
Speaker 9 (Quinlan Conf Room): What is Commissioner? Do you want to say
conference or anything?
1115
01:54:04.320 --> 01:54:07.049
Speaker 10 (Quinlan Conf Room): I didn't have done that. Okay.
1116
01:54:09.000 --> 01:54:10.030
Speaker 7 (Quinlan Conf Room): Alright.
1117
01:54:10.820 --> 01:54:12.090
Quinlan Conf Room: Realting closed.
1118
01:54:13.480 --> 01:54:18.710
Speaker 7 (Quinlan Conf Room): All right, thanks. Thanks, guys.
1119
01:54:18.710 --> 01:54:19.280
Quinlan Conf Room: for…
1120
01:54:19.460 --> 01:54:21.919
Speaker 1 (Quinlan Conf Room): Okay. Now that meeting is end.
1121
01:54:22.230 --> 01:54:26.090
Speaker 1 (Quinlan Conf Room): It's over, right? If you have full fun… Is
it, is it…