View Recording: Best of Microsoft Ignite 2024

Concurrency I hope you have your seatbelts buckled because we have an incredible amount of content that we’re gonna cover today in an hour. 0:0:24.392 –> 0:0:25.512 Concurrency And I am so. 0:0:27.82 –> 0:0:30.242 Concurrency Just excited to be able to be here and to be able to spend some time with you. 0:0:30.922 –> 0:0:38.682 Concurrency So what we’re gonna do in this session today is we’re gonna do a speed run through the best of Microsoft Ignite. 0:0:39.202 –> 0:0:46.642 Concurrency And I’ve got a a deck of content which is really, really full, all sorts of different types of topics, and we’re gonna cover a lot of them. 0:0:47.652 –> 0:0:57.692 Concurrency And about half the deck is is hidden content because I had to dial it back somewhere and I’m gonna make this deck available to you all afterwards. 0:0:57.692 –> 0:1:0.772 Concurrency So I think you’re gonna really find this a great experience. 0:1:0.772 –> 0:1:2.132 Concurrency You’re gonna get a lot of content. 0:1:2.132 –> 0:1:4.92 Concurrency It’s gonna feel like you got hit by a fire hose. 0:1:4.92 –> 0:1:12.212 Concurrency That’s how I’ve been feeling for about the last, you know, two weeks as I’ve been putting this content together, and I want you to be able to have access to all of this afterwards. 0:1:12.212 –> 0:1:13.612 Concurrency So we’re gonna make that available as. 0:1:14.722 –> 0:1:17.802 Concurrency A as a take home as we get started. 0:1:18.102 –> 0:1:26.262 Concurrency I’m going to start a poll and I love to hear what are the most interesting things that you wanna learn more about today? 0:1:27.802 –> 0:1:32.602 Concurrency As we have this conversation, so I don’t miss or skip anything, so I’m gonna launch that launching our poll. 0:1:36.232 –> 0:1:37.672 Concurrency There we go. All right. 0:1:37.672 –> 0:1:42.32 Concurrency So for everyone, please select your top three interest areas and submit. 0:1:42.592 –> 0:1:47.352 Concurrency I would love to love to see your. 0:1:49.322 –> 0:1:49.642 Concurrency Results from that. 0:1:52.882 –> 0:1:53.602 Concurrency Let’s see. 0:1:57.152 –> 0:1:57.952 Concurrency This is mine. 0:2:6.762 –> 0:2:9.762 Concurrency I haven’t seen copilot Copilot’s studio leading here. 0:2:11.322 –> 0:2:11.882 Concurrency Fabric. 0:2:14.172 –> 0:2:14.972 Concurrency Vote for quantum. 0:2:14.972 –> 0:2:15.892 Concurrency That might have been mine. 0:2:23.682 –> 0:2:24.402 Concurrency Cool. Thank you. 0:2:24.402 –> 0:2:30.882 Concurrency Keep submitting that if you have not yet responded to the poll. Would love to see your top three interest areas. 0:2:31.82 –> 0:2:35.642 Concurrency Keep that coming along while I do some introduction here. So OK, nice to meet everybody. 0:2:35.642 –> 0:2:36.802 Concurrency I’m Nathan lozanoski. 0:2:36.802 –> 0:2:41.322 Concurrency I’m concurrency’s chief technology officer. I would love to connect with all of you. 0:2:41.522 –> 0:2:45.362 Concurrency This is my LinkedIn QR code so follow me on LinkedIn. 0:2:45.362 –> 0:2:51.522 Concurrency I’ve got a newsletter that got gets released every single week on AI trends and technology leadership. 0:2:51.802 –> 0:2:53.2 Concurrency There’s about 25. 0:2:53.502 –> 0:3:1.102 Concurrency Previous newsletters with all sorts of interesting content, I’m sure you would find that interesting, so make sure you connect with me. 0:3:1.102 –> 0:3:7.622 Concurrency I’d love to be in your network and talk with you and collaborate and communicate and. 0:3:9.122 –> 0:3:9.442 Concurrency Today what? 0:3:9.722 –> 0:3:14.922 Concurrency I’m going to be doing is going through the best of ignite. That’s why you’re all here and you can see I have quite the list. 0:3:15.82 –> 0:3:19.642 Concurrency In fact, that’s not even the entire list, but I’ve quite the list of things that we’re going to dig into. 0:3:21.362 –> 0:3:23.442 Concurrency One reason I want to make sure I give you the the deck. 0:3:23.932 –> 0:3:28.652 Concurrency A result of this is because I have links to all sorts of different types of content as we go. 0:3:28.932 –> 0:3:40.692 Concurrency So one of the best pieces of content that they release every single time they do Ignite and Microsoft build is the book of news and the Book of News is kind of like an index of where you can find stuff. 0:3:41.652 –> 0:3:49.692 Concurrency It doesn’t always include everything oddly enough, but it includes a lot and it’s really helpful to be able to focus in on your technology discipline area. 0:3:50.442 –> 0:3:53.562 Concurrency And to find interesting things that are going to be meaningful to you as you. 0:3:54.252 –> 0:4:4.132 Concurrency Start exploring things that have happened at Ignite, so we’re gonna hit this sequentially. I’m gonna move really fast. So if I don’t, I’m gonna make it through. 0:4:4.132 –> 0:4:5.892 Concurrency Maybe only in the top four things. 0:4:6.52 –> 0:4:7.892 Concurrency So we’re gonna do a lot of content here. 0:4:8.252 –> 0:4:15.52 Concurrency Feel free to drop questions in the chat. I might not hit them during the session, or I might just stay late and answer some of those questions as we go. 0:4:15.612 –> 0:4:20.212 Concurrency But my goal is to get you guys out of here right on time and make make this available for you. 0:4:20.962 –> 0:4:21.802 Concurrency As a as a take home. 0:4:23.582 –> 0:4:26.102 Concurrency Right. So keynote, let’s start with that. 0:4:26.222 –> 0:4:27.422 Concurrency So what happened in the keynote? 0:4:27.422 –> 0:4:31.422 Concurrency Well, there’s two main things that Satya really started to hit on in the keynote. 0:4:31.742 –> 0:4:51.522 Concurrency The first was this idea of copilot as the UI for AI, and I liked that language because it was really about how do we surface the capabilities of AI to a broad ecosystem of employers, employees, partners and cut business relationships that we have and do so in a. 0:4:51.522 –> 0:4:51.622 Concurrency Way that. 0:4:52.402 –> 0:4:57.642 Concurrency Keeps dropping the bar of our base skill necessary to take advantage of the? 0:4:58.182 –> 0:5:5.462 Concurrency The platform and it looks it’s a it’s a view in terms of how Microsoft’s perceiving, how they’re going to market with their AI capabilities. 0:5:5.542 –> 0:5:8.542 Concurrency They’re not launching an App Store on your phone per southeast. 0:5:8.542 –> 0:5:14.862 Concurrency They’re not going to the kind of open market in a in a way that maybe you’re seeing like open AI starting to think about it. 0:5:14.862 –> 0:5:25.142 Concurrency They’re really thinking about copilot as this engine for people to interact with, not only the base capabilities of copilot, but also the capabilities available via copilot Studio. 0:5:25.882 –> 0:5:28.82 Concurrency And agents that exist underneath both of those vehicles. 0:5:28.702 –> 0:5:47.782 Concurrency And you’re even seeing that quite a bit and we’ll talk about this a little bit more how the commodity the of the, the adoption of AI systems for every individual within your business is becoming really straightforward for an individual to be able to do themselves, not just having. 0:5:47.882 –> 0:5:49.282 Concurrency That off to a technology person. 0:5:49.282 –> 0:5:57.722 Concurrency Even creating an agent is something that they’re starting to make an activity that every person within your organization can do, which is really, really exciting. 0:5:57.842 –> 0:6:12.762 Concurrency So I love this idea of framing up the accessibility of AI vehicle pilot as a vehicle to do that and then orienting this idea of the copilot control system, which we’ll talk a little bit about in a moment. Now, as he flips that on its head, he. 0:6:12.762 –> 0:6:17.802 Concurrency Talks about the copilot and AI stack and when you think about the copilot AI stack. 0:6:18.342 –> 0:6:20.902 Concurrency He’s really talking about how we’re building AI systems. 0:6:20.902 –> 0:6:26.542 Concurrency So if the if the previous slide was about, how do I enable adoption for every employee within my organization? 0:6:27.222 –> 0:6:41.862 Concurrency The other side of it is how do I enable a set of tools that enables us to create AI systems that are our true product engineering and enable us to be able to amplify the core mission of our business for end customers. 0:6:41.952 –> 0:6:57.472 Concurrency So a core component of what we’ll talk about today is some of the things that he has in here, the dev tools, the AI platform, the data platform, the infrastructure, the accessibility from the cloud and from the edge. All this is really meaningful and many of the CAP. 0:6:57.792 –> 0:6:59.152 Concurrency That they talk about at Ignite. 0:6:59.272 –> 0:7:11.912 Concurrency Amplify each of those different vertical structures and horizontal structures that exist in the context of making AI real, not only for every employees adoption, but also for building AI systems that enable us to take. 0:7:12.272 –> 0:7:19.312 Concurrency To our customer base. So you’ll see these both sprinkled across the different topics that we’ll be covering in the session today. 0:7:20.112 –> 0:7:28.72 Concurrency So the first thing we’ll talk about is copilot and its relationship to things like pages and actions that were announced at Microsoft Ignite. 0:7:28.792 –> 0:7:39.432 Concurrency So the first thing that they talked about in the context of copilot, I’m really excited about because it was a big ask of mine at the last MVP Summit was this idea of why can’t I save prompts? 0:7:39.472 –> 0:7:41.832 Concurrency Like, why can’t I take a prompt that I’ve been working with? 0:7:42.312 –> 0:7:51.552 Concurrency Save it in a way that I can get access to later and then also share with other people that I might be collaborating with in an easy way. Now we’ve been using. 0:7:53.462 –> 0:8:2.462 Concurrency Some off the shelf, some off the shelf tools, some open source tools to be able to make that possible, but I’m really glad to see them starting to integrate this right within the copilot interface. 0:8:2.662 –> 0:8:16.62 Concurrency Both Microsoft prompts that they’ve been developing, but also prompts that you are saving. So, for example, a prompt that I’ve been using is around scheduling meetings like someone will come to me and say, hey, do you have time on your calendar and I’ll say yeah. 0:8:16.652 –> 0:8:18.732 Concurrency But let me look at my calendar and find the right times. 0:8:18.732 –> 0:8:28.612 Concurrency Well, I’ve developed a prompt that I use with my calendar to return five key times with a bunch of blockers on it, like don’t schedule it here, look at these kinds of things. 0:8:28.732 –> 0:8:37.772 Concurrency Like you’d instruct an intern to go find times for you. Now that prompt can be saved easily referenced by me, and it can take next steps right within the context of the copilot interface. 0:8:37.772 –> 0:8:45.972 Concurrency I thought that was a great way to kick it off because it really starts to take some of the feedback people have had with copilot. Bring that forward to the usage of. 0:8:46.912 –> 0:8:49.512 Concurrency Amplifying that within the adoption within enterprise. 0:8:50.672 –> 0:9:9.262 Concurrency Another exciting thing about copilot that the analysis Ignite is responses from copilot that follow different modalities like bar charts and score and rich text rich code vehicles to to experience it in a way that’s not just a text response from like I’m looking in Excel workbook. Give me. 0:9:9.262 –> 0:9:9.272 Concurrency A. 0:9:9.272 –> 0:9:12.232 Concurrency Give me a graph of the content in this inside that Excel workbook. 0:9:13.22 –> 0:9:20.782 Concurrency Launch a power BI report. Copilot is now becoming a vehicle for not just text responses, but also collaboration around rich content. 0:9:21.442 –> 0:9:35.342 Concurrency And I think the more that that kind of content becomes a real time activity that happens within the copilot conversation, the more that’s gonna enable us to take action faster and then also collaborate on it. You can see this piece right here where it says create new page. 0:9:35.802 –> 0:9:38.642 Concurrency There’s a new feature you might have experienced within copilot. 0:9:38.642 –> 0:9:47.202 Concurrency This is called copilot pages, and that’s the idea of taking this thing I just had interaction with copilot around and then making this not just. 0:9:47.982 –> 0:9:52.302 Concurrency Interaction that’s private to me, but making interaction that is shared with others. 0:9:53.522 –> 0:10:1.442 Concurrency So you can see how that moved from this this interaction that I had inside of copilot to this page that’s now present. 0:10:1.442 –> 0:10:6.202 Concurrency This could be inside of a team or it could be an individual thing that I’m then sharing with other people. 0:10:6.322 –> 0:10:20.162 Concurrency But then this becomes prompt export content that then is collaborative in the context of a loop, which is sort of new collaborative capability that exists within as a kind of adjacent technology to teams. 0:10:20.162 –> 0:10:23.82 Concurrency It’s also a new way of of surfacing that that. 0:10:23.272 –> 0:10:40.312 Concurrency Information which is has parity between like thick client and non non thick client experience has a lot in common with notion. If you’ve worked with notion before and loop is this extension of the prompts you take the prompt to export something or pages and that content then is. 0:10:40.312 –> 0:10:42.232 Concurrency Available in a collaborative space with pages. 0:10:42.232 –> 0:10:51.392 Concurrency So you’re going to start to see that light up within your tenant, if it hasn’t already, and start exploring it it it’s going to feel a little weird ’cause. It’s like another piece of content. 0:10:51.392 –> 0:10:53.232 Concurrency It’s like it’s not word, it’s. 0:10:53.402 –> 0:10:55.522 Concurrency Excel it’s not a PowerPoint. 0:10:55.522 –> 0:11:7.362 Concurrency It’s a bloop component and at the end of the day it’s just like it’s just like one of those other things, except it’s more modern in the way that you’re you’re interacting in a collaborative way with it. 0:11:7.362 –> 0:11:9.922 Concurrency So note that that’s something that they talked a lot about. 0:11:12.442 –> 0:11:17.882 Concurrency Now building on that, something that I was really excited about is this idea of copilot actions. 0:11:17.882 –> 0:11:19.202 Concurrency What are copilot actions? 0:11:19.322 –> 0:11:27.282 Concurrency Copilot actions are essentially thinking about activities are perform on a regular basis and then telling copilot to do those things for me. 0:11:27.282 –> 0:11:38.202 Concurrency So let’s say every Tuesday I need to prepare this report or or every Wednesday I need to send this this file to this person that needs it outside of my organization. 0:11:38.202 –> 0:11:40.802 Concurrency I share this this this content right? 0:11:40.802 –> 0:11:42.402 Concurrency I send out my my schedule so. 0:11:42.512 –> 0:11:46.552 Concurrency People know what I’m doing this week, or I’m gonna be on the road and I know I’m gonna be on the road. 0:11:46.552 –> 0:11:47.792 Concurrency I wanna send out these updates. 0:11:47.992 –> 0:11:51.992 Concurrency What copilot actions are taking those prompts? 0:11:53.742 –> 0:12:5.942 Concurrency And causing the AI agent to perform those prompts or activities for you without you having to trigger it, like essentially scheduling that activity on your behalf. So regularly summarize the communications. 0:12:5.942 –> 0:12:6.942 Concurrency Maybe I come in in the morning. 0:12:6.942 –> 0:12:11.782 Concurrency I wanna already see the summary of my inbox right in front of me. 0:12:11.982 –> 0:12:16.902 Concurrency Or maybe I want to create these assets every single time this trigger fires? 0:12:17.632 –> 0:12:24.192 Concurrency And I do so on an individual basis, like every single time I see this thing, I want to trigger this activity, move this document or take this action. 0:12:25.742 –> 0:12:36.502 Concurrency I can now have that trigger just based upon me building a prompt around it and where I think this is really powerful is that is that next step around delegating activities to an AI agent. 0:12:36.502 –> 0:12:41.382 Concurrency Like if you think about prompting as delegating an activity, we’re doing that as it comes, right? 0:12:41.382 –> 0:12:47.742 Concurrency I’m working within Biz chat and I’m I’m actively delegating an activity to an AI agent in the context. 0:12:48.232 –> 0:12:49.232 Concurrency Of copilot actions. 0:12:49.232 –> 0:12:51.872 Concurrency What’s happening is I’m preparing that in advance. 0:12:52.112 –> 0:13:7.32 Concurrency I’m causing it to take action based upon something that I’ve already prepared and I wanted to do so I’m no longer triggering it manually. I’m triggering it based on a schedule and it’s doing it potentially even autonomously on my behalf. 0:13:7.912 –> 0:13:17.112 Concurrency So this is something you should expect to land in your tenant in Q1 or even in, in even early Q1 that you can start to take advantage of. 0:13:18.562 –> 0:13:25.682 Concurrency So now copilot, one of the questions companies have said to me is how do I know like how this is being used? 0:13:25.682 –> 0:13:43.62 Concurrency How do I know that it’s actually providing value and I I think this is one of the greatest needs within the deployment of copilot, is their ability to relate the activities in the enablement of copilot, which is not a a a non significant dollar amount that you’re lic. 0:13:44.222 –> 0:13:49.582 Concurrency And applying that to, how do I prove that there was value and and many of us who use copilot like Dubuque? 0:13:49.992 –> 0:13:54.752 Concurrency There’s value like you’re already experiencing it. What we’re trying to do here is then show that. 0:13:54.752 –> 0:14:1.32 Concurrency So analytics shows the business outcome relationships associated with copilot usage. 0:14:1.272 –> 0:14:4.792 Concurrency So there’s all these different metrics that you can start to line this up with. 0:14:4.792 –> 0:14:6.512 Concurrency So one of the examples they showed was. 0:14:8.62 –> 0:14:19.622 Concurrency Aligning sales win rate with copilot usage in doing so in some components. So saying like hey, here’s teams. How many times have people summarized a meeting with copilot? 0:14:19.862 –> 0:14:24.382 Concurrency How many times have they summarized a chat or rewrote a message or done intelligent recap or? 0:14:25.572 –> 0:14:42.732 Concurrency Used business chat and for every every app we can get the down statistics of those activities and the people that are using them and why it’s so powerful is then we can cross reference that against activities that are happening with those individuals and cross reference it with their. 0:14:42.732 –> 0:14:49.92 Concurrency Job performance, we could say, well, the people in this group that are performing really well, they do all these things. 0:14:49.92 –> 0:14:51.492 Concurrency They summarize the meeting and they send them out immediately afterward. 0:14:51.572 –> 0:14:53.132 Concurrency They have a trigger that they’re firing. 0:14:53.902 –> 0:14:54.342 Concurrency Based upon. 0:14:56.102 –> 0:15:3.462 Concurrency That, that meeting having been completed and then the things that they we would have asked them to do like summarize, to take action, they would have done that manually. 0:15:3.462 –> 0:15:9.622 Concurrency Now they can do that automated. The people doing that, they’re having Better Business performance or they’re not like you might find that out too. 0:15:9.822 –> 0:15:19.222 Concurrency So I find that that more than we get this information in a way that’s not taking advantage of anyone but the more we get it to be able to show what the top quartile individuals are doing. 0:15:20.62 –> 0:15:22.182 Concurrency And how AI is actually force multiplying them? 0:15:22.582 –> 0:15:27.862 Concurrency That’s gonna enable us to really have confidence as we push forward to enable this for the rest of the organization. 0:15:28.752 –> 0:15:31.872 Concurrency So copilot, dashboard, copilot, analytics super useful. 0:15:31.872 –> 0:15:48.32 Concurrency So this is a view of that relationship between copyle usage and deals 1. So like low usage versus high usage versus medium usage, we can show there is an alignment like high usage of copilot, all things being equal, right. 0:15:48.32 –> 0:15:53.472 Concurrency There might be some other delineation we need to think about here, but usage of copilot. All things being equal. 0:15:53.852 –> 0:16:9.252 Concurrency With the insights that we brought together, we’re seeing a higher degree of deals. One or might be a higher degree of general productivity gets a task like people are doing a customer service task. The people who are using copilot regularly are better at their customer service T. 0:16:9.462 –> 0:16:12.302 Concurrency Maybe we’re seeing higher customer sat with those individuals. 0:16:12.302 –> 0:16:18.702 Concurrency We’re seeing better responses, so super valuable capability and the more they apply. 0:16:20.252 –> 0:16:25.772 Concurrency Value to the analytics part of this, the better they’re gonna be able to drive real adoption within organizations. 0:16:27.742 –> 0:16:28.942 Concurrency Same kind of view here. 0:16:28.942 –> 0:16:39.302 Concurrency The idea behind I see a dollar value a dollar, the dollar impact associated with high copilot usage versus low copilot usage. That’s really a cross referencing of those two things. 0:16:40.812 –> 0:16:42.652 Concurrency Little bit more about that you can get that later. 0:16:42.692 –> 0:16:43.652 Concurrency Spend some time with it. 0:16:43.652 –> 0:16:50.692 Concurrency You can even customize the hourly rate, which is I think a a nice kind of capability. OK copilot control system. 0:16:50.732 –> 0:16:51.612 Concurrency What is this? 0:16:51.612 –> 0:16:55.492 Concurrency This is like the blanket across the whole ecosystem, OK. 0:16:55.532 –> 0:16:57.852 Concurrency So it’s talking about the things we just mentioned. 0:16:58.392 –> 0:17:6.192 Concurrency But also talking about other governance, guardrails and security guardrails that exist in the context of the copilot ecosystem. 0:17:6.192 –> 0:17:22.852 Concurrency So things that you’ve seen happen with copilot recently have been like being able to dial back what is in the semantic index and what is not in semantic index. Being able to apply rights management rules, being able to dial in like who can use what, who can access. 0:17:23.32 –> 0:17:24.792 Concurrency What and what features can they use? 0:17:25.32 –> 0:17:27.992 Concurrency Copilot control Systems goal is to be able to facilitate. 0:17:28.542 –> 0:17:38.302 Concurrency No additional governance controls around the copilot ecosystem as we roll it out, versus maybe like a year ago where it was like, whoa. Like you kinda turn it on and that’s it. 0:17:38.582 –> 0:17:53.742 Concurrency Now you’re in a position where you have a lot more hands on the dial. So we’re really hitting a point. I guess what I’ve experienced is we’re really hitting a point where like most businesses are seriously looking at their mass rollout approach, even you know, maybe mass is. 0:17:53.742 –> 0:17:54.662 Concurrency Maybe the wrong word, but like. 0:17:55.452 –> 0:17:57.932 Concurrency 500 user Plus 1000 user, plus you know they’re. 0:17:58.662 –> 0:18:6.22 Concurrency Pushing forward, but they want these things like analytics example to exist and they want the governance controls to exist. 0:18:6.142 –> 0:18:15.782 Concurrency These are the things that are gonna enable you to do it safely and well, so I’m glad they’re investing there. OK, something they talked about as well is this idea of SharePoint agents. 0:18:15.982 –> 0:18:17.582 Concurrency So what are SharePoint agents? 0:18:17.582 –> 0:18:21.62 Concurrency Let’s say you have a SharePoint document library, right? 0:18:21.62 –> 0:18:22.502 Concurrency In SharePoint there’s this button. 0:18:23.692 –> 0:18:28.732 Concurrency Where it says OK, cool. Build an agent that summarizes that’s FAQ. 0:18:29.412 –> 0:18:36.372 Concurrency All the things that are in this document library or summarize any key highlights that are existing within this document library. 0:18:37.412 –> 0:18:38.652 Concurrency Fascinating, right? 0:18:38.652 –> 0:18:42.812 Concurrency How fast you can create agents based upon known content? 0:18:43.492 –> 0:18:51.492 Concurrency Flip that around Co PIL studios kind of doing it from the opposite direction, but essentially what this is doing is it’s building a copilot studio chatbot, right? 0:18:51.492 –> 0:18:55.212 Concurrency Copilot student agent that can perform activities against contents in a SharePoint list. 0:18:56.12 –> 0:18:59.132 Concurrency There’s this create agent button here to also kind of go to the same place. 0:19:1.412 –> 0:19:6.372 Concurrency Just making the creation of intelligence agents even more accessible than it was before. 0:19:8.532 –> 0:19:12.292 Concurrency OK, man, if there’s one thing that I was excited about from copilot, it was this. 0:19:12.852 –> 0:19:20.332 Concurrency I was totally Star Trek fan growing up and one of the things that I was asked was like wait like isn’t that guy an alien? 0:19:20.332 –> 0:19:22.932 Concurrency Like, how are you talking with all these aliens? 0:19:22.932 –> 0:19:24.412 Concurrency And it sounds like they’re speaking English. 0:19:24.412 –> 0:19:25.532 Concurrency Like what’s going on here? 0:19:25.852 –> 0:19:28.132 Concurrency And I remember what was it? 0:19:28.132 –> 0:19:31.292 Concurrency Star Trek The undiscovered country. 0:19:31.912 –> 0:19:39.592 Concurrency Or something like that, where they had to like, Cronus had blown up and and they were trying to go visit this. 0:19:39.632 –> 0:19:40.312 Concurrency Oh, they had to go. 0:19:40.312 –> 0:19:54.232 Concurrency Sorry, they had to go to this like this penal colony, OK? And they like they said the the the universal translator will be recognized, right. So they had to like speak in a foreign language or speak in Klingon to to go visit them. Like this idea of like. 0:19:54.232 –> 0:19:54.992 Concurrency I’m speaking to you. 0:19:54.992 –> 0:19:57.752 Concurrency You’re speaking to me and it sounds like me. 0:19:57.872 –> 0:20:1.872 Concurrency So they announced this and I saw this like six months ago at the MVP summit. And I was like. 0:20:2.52 –> 0:20:8.52 Concurrency Blown away this idea that like you’re speaking to me, I’m speaking to you. But it doesn’t sound like a robot. 0:20:8.92 –> 0:20:10.932 Concurrency It actually sounds like me saying a different language. 0:20:11.252 –> 0:20:13.932 Concurrency Crazy talk like this is so cool. 0:20:14.292 –> 0:20:19.212 Concurrency The idea that I’ve got a link in it so you can go watch it later, but like. 0:20:20.972 –> 0:20:27.732 Concurrency Marco, one of the leaders of this actually demoed this live in teams. You can do it in custom Dev. You can do it right in teams. 0:20:27.732 –> 0:20:32.292 Concurrency This idea that, like you’re speaking a language I’m that’s this like real time translation. 0:20:33.462 –> 0:20:38.902 Concurrency And it sounds like you to me is like so close to the Star Trek universal translator. It’s not even funny. 0:20:39.582 –> 0:20:52.982 Concurrency I’m I’m excited about this just because of the accessibility that it creates for people, the ability for individuals with with, you know, differing languages to communicate with each other real time is incredible. Just incredible. 0:20:52.982 –> 0:20:58.542 Concurrency So check this one out. I I think there’s like if there’s one like like this is so cool. 0:20:58.702 –> 0:21:2.382 Concurrency That was like a moment for me when I just when I saw the Interpre agent. 0:21:3.532 –> 0:21:7.532 Concurrency OK, so building on the conversation about copyle, let’s talk about copile agents in studio. 0:21:9.172 –> 0:21:21.772 Concurrency So the goal with copilot Studio and its relationship to copilot usage is this idea of building agents, and the idea around agents is independent agents that perform an activity that can work together. 0:21:22.92 –> 0:21:36.852 Concurrency So looking below you can see things like next best action agents or lead qualifying or expense approval or data entry. This idea that these all perform a thing and it may perform a thing in the context of a lightweight effort or a might be a. 0:21:37.872 –> 0:21:52.992 Concurrency Round up like maybe this maybe the like this guy right here. That next best action agent. Maybe you built that fully custom and your copilot agents that you built non custom and low code are interacting with it and they’re changing information. 0:21:53.152 –> 0:21:54.512 Concurrency That’s the future, people. 0:21:54.552 –> 0:22:1.32 Concurrency The idea, like we have all these agents, that’s like a mini org chart of delegated activities within our organizations. 0:22:1.232 –> 0:22:7.792 Concurrency And I’m handing it off to them to do things and with my applications I’m building forms and grids and activities that that interact. 0:22:7.962 –> 0:22:8.882 Concurrency With each of those agents. 0:22:10.412 –> 0:22:30.252 Concurrency So powerful in the future of this is so amazing, like the idea that I have individuals self creating agents and I have full code, product development all working together to achieve real outcomes and then building it on increasingly accessible data platforms like dataverse or fabric. It becomes really. 0:22:30.252 –> 0:22:32.132 Concurrency Exciting the amount of impact that we can drive. 0:22:32.132 –> 0:22:37.292 Concurrency So there is in here I have a link to that particular session. I think you’d find that really really useful. 0:22:39.52 –> 0:22:54.772 Concurrency I’m not going to cover any of this right now, but there’s a lot of new things in copilot studio. If there’s a platform that’s getting a lot of additional investment, copilot, studio, copilot, studio, copilot, studio like, it’s getting a lot of investment just simply because it’s making it. 0:22:54.772 –> 0:23:5.612 Concurrency Making AI agent capabilities really accessible to individuals and one of the ways that that’s proven to me is you’re starting to see this lit up right within your copilot experience for individual purpose. 0:23:6.412 –> 0:23:11.412 Concurrency You go into the copilot experience and it essentially leads you through the process of building an agent. 0:23:13.122 –> 0:23:19.242 Concurrency Sometimes it works and sometimes it doesn’t quite work yet because like maybe you haven’t wired up the data sources or or errors out or whatever. 0:23:20.452 –> 0:23:22.932 Concurrency Work through it, man. Like it’s doing some cool stuff. 0:23:23.2 –> 0:23:24.562 Concurrency I’ve already built a whole slew of agents. 0:23:26.92 –> 0:23:31.852 Concurrency In really short periods of time and the the skill to be able to do this, anyone can do it now. 0:23:32.292 –> 0:23:33.332 Concurrency Does it need governance? 0:23:33.332 –> 0:23:36.252 Concurrency Yes, that’s why the control system exists. 0:23:36.252 –> 0:23:38.412 Concurrency That’s why you need to do enablement activities. 0:23:38.412 –> 0:23:45.52 Concurrency That’s why you need to think about what the the kind of cross web of how all my agents work together is going to be. 0:23:45.92 –> 0:23:50.332 Concurrency But it is a really powerful time for us to drive aggregate activity within an organization, so. 0:23:51.212 –> 0:23:51.732 Concurrency Really cool stuff. 0:23:53.442 –> 0:24:4.522 Concurrency Here is an example of the ability to look at the the content that exists underneath cool Power Studio and then being able to indicate. Is this an official source of information. So you kind of like. 0:24:6.92 –> 0:24:8.892 Concurrency Bounce up certain information in the rankings. 0:24:10.572 –> 0:24:22.372 Concurrency And I think that’s gonna get additional like investment, but like being able to bounce up capabilities in the ranking. So you can prioritize certain certain content for prioritize responses. And maybe once they’re sort of secondary secondary content. 0:24:24.172 –> 0:24:27.372 Concurrency Haven’t played much with copilot studio. This is the interface for copilot studio. 0:24:27.372 –> 0:24:30.532 Concurrency And then there’s a testing experience over here to play with your agent. 0:24:30.932 –> 0:24:44.172 Concurrency You can see it’s asking questions and it’s providing the reference and so on things you would expect from an AI bot that’s performing QA. You can also see that sorry the actions capability which we’ll talk a little bit more about later. 0:24:45.862 –> 0:24:46.582 Concurrency Keep sticking with me. 0:24:46.582 –> 0:24:47.702 Concurrency There’s a lot here. 0:24:47.822 –> 0:24:57.502 Concurrency I hope you hopefully this is still interesting. OK, now we’re gonna move into there’s analytics around the agents. So you spin up an agent, you say? Well, man, you built all the agents. Which of these are actually used? 0:24:59.2 –> 0:24:59.762 Concurrency How is it work? 0:25:0.562 –> 0:25:2.42 Concurrency Is it doing what it’s supposed to do? 0:25:3.612 –> 0:25:18.572 Concurrency I love that they’re building a lot of investment around the analytics and agents too, like not just analytics around Base copilot adoption, but analytics around agents. This idea of building help desk agent knowing what the outcomes of it were, are they being responded to? What are the? 0:25:18.572 –> 0:25:30.132 Concurrency Errors. Where are the what document sources are tied most to abandonment like like if they’re using this document responded this way, it didn’t work. If they’re using this document, it will responded with high quality. 0:25:30.792 –> 0:25:43.932 Concurrency We can start to be able to focus the energy of people maintaining the content, which is really the key of this. Like anytime someone’s building agent, the agent doesn’t work usually because the content’s modeled. It’s not usually ’cause the agent’s screwed up, like a lot. 0:25:43.932 –> 0:25:48.392 Concurrency Of times. It’s just like we put too much content into the basket and it can’t figure out which is which. 0:25:48.552 –> 0:25:51.952 Concurrency Like, let’s let’s focus our content toward the thing we’re trying to answer. 0:25:52.72 –> 0:25:54.32 Concurrency So analytics help us to be able to do that. 0:25:56.162 –> 0:26:12.802 Concurrency This is an example of being able to pull content from other sources, so being able to and then take action on it. So being able to build a build a workflow, understand the knowledge sources, take action or sorry list content from that knowledge source, and then build a. 0:26:13.212 –> 0:26:19.212 Concurrency That allows us to take action on that agent and then map it in a really kind of intuitive activity map. 0:26:19.352 –> 0:26:24.512 Concurrency So let’s just go from. I’m describing this in a very simple Q&A format. 0:26:24.512 –> 0:26:25.472 Concurrency To wait. 0:26:25.472 –> 0:26:28.32 Concurrency I wanna kinda manage some of the dials of this thing. 0:26:28.32 –> 0:26:30.72 Concurrency I wanna work with topics, I wanna adjust it. 0:26:30.72 –> 0:26:30.992 Concurrency I need to know what happened. 0:26:32.152 –> 0:26:49.312 Concurrency You’d be surprised how much is available for low code into pro code in the context of copilot studio before you’re truly building something from scratch from the ground up. This is where a lot of investment has been put to enable every person and every like local person. 0:26:49.572 –> 0:27:2.172 Concurrency To be able to get tremendous impact and have these tie in with work that people are doing in the procode space like maybe I want my index to be an Azure AI search but the rest of the app is in copilot studio. You can do that now. 0:27:3.172 –> 0:27:4.172 Concurrency So lots going on. 0:27:5.852 –> 0:27:12.12 Concurrency Which allows us to even further lower the bar because they announced that copilot studio is available as page go. 0:27:12.212 –> 0:27:13.612 Concurrency Why is it so valuable? 0:27:13.972 –> 0:27:20.132 Concurrency Simply because people build a lot of agents and are testing them out. They don’t want to have like a base cost or having to pay for every single agent. 0:27:20.662 –> 0:27:32.212 Concurrency I just wanna pay on the drip so copilot studio is also available in total pay as you go like pay as you use it you don’t use it, you don’t pay if you pay if you use it a lot, you pay more and there’s reservations that you can. 0:27:32.212 –> 0:27:32.542 Concurrency Get for them. 0:27:32.902 –> 0:27:40.942 Concurrency I think this is just another way to reduce the sort of hurdles that you need to be able to get into building intelligent AI agents, OK. 0:27:42.492 –> 0:27:50.612 Concurrency Also, interaction engagement of purview into Azure AI agents or sorry, both Azure AI agents and copilot studio agents. 0:27:51.172 –> 0:28:7.412 Concurrency So if you’re using purview to look for things like unethical, use sensitive document content sensitivity labels, what’s being accessed, what should or shouldn’t be, what, what interactions are happening for different types of apps. This is all information that’s now being able to be available to you as a. 0:28:7.412 –> 0:28:16.612 Concurrency Security team and really to protect your protect your environment from some of these negative things happening and know that that know that it occurred like we don’t want money laundering that would be bad. 0:28:17.412 –> 0:28:18.532 Concurrency Let’s try to stay away from that. 0:28:18.612 –> 0:28:24.292 Concurrency So the security teams are a ton of content on purview. I don’t have a lot of preview content in this deck, but. 0:28:24.872 –> 0:28:31.752 Concurrency I do want you to be aware that that’s something that we have. OK. Same thing with Activity Explorer actually knowing who did it. 0:28:33.292 –> 0:28:33.812 Concurrency Is is useful too. 0:28:33.812 –> 0:28:36.892 Concurrency So like, hey, I’ve got a person from my team interacting with my bot. 0:28:37.92 –> 0:28:38.172 Concurrency What did they do? 0:28:38.252 –> 0:28:38.972 Concurrency Who was doing it? 0:28:40.612 –> 0:28:41.892 Concurrency Especially like they tried to jailbreak it. 0:28:42.92 –> 0:28:50.172 Concurrency I need to know who did that like. I’m not going to hide that information. I want to be able to solve for that problem. So being able to have great information from purview on that. 0:28:51.882 –> 0:29:8.322 Concurrency OK, something that they announced in this, which I have yet to explore more, but I am excited about it. Is this idea of pre built agents. So prebuilt agents is about like hey everybody asks for an employee’s self-service agent. Like can we just have that like. 0:29:8.402 –> 0:29:14.162 Concurrency Can we just light that up pretty easily or a project manager agent sounds super interesting? 0:29:14.162 –> 0:29:15.882 Concurrency I was playing around with that a little bit. 0:29:16.482 –> 0:29:19.602 Concurrency There’s some really interesting things are doing it like launch pre built agents. 0:29:19.602 –> 0:29:21.802 Concurrency There’s also some industry agents that I’ll talk about later. 0:29:22.552 –> 0:29:32.632 Concurrency So really, really like accelerating the go to market of some of these like basic capabilities. So an employee self-service agent, we know it’s based on this type of content. 0:29:32.792 –> 0:29:41.432 Concurrency So let’s build 1 already that we can launch pretty quickly for a customer that’s based on this kind of the prepared set of content that I have as a template. 0:29:41.432 –> 0:29:48.552 Concurrency Really what it is is a template like. I know that I need these things to have an employee self-service agent for this kind of content. 0:29:48.552 –> 0:29:51.872 Concurrency Let’s help them through the process of constructing that agent right within. 0:29:52.182 –> 0:29:54.862 Concurrency Studio. So fascinating. 0:29:54.862 –> 0:30:2.822 Concurrency Exciting capabilities, by the way, if you haven’t played this create agents button that you probably have in copilot right now, that’s a great place to start. 0:30:3.182 –> 0:30:10.222 Concurrency Super Low impact way to start building agents on your own already should be available in your tenant, OK. 0:30:11.772 –> 0:30:23.772 Concurrency Tons of out of box interactions and agents being constructed by partners likes like a service now or work day that you don’t have to build. So like I was talking with a company yesterday. They’re like what should we build? 0:30:23.772 –> 0:30:25.292 Concurrency Don’t build things you don’t have to build. 0:30:26.742 –> 0:30:28.782 Concurrency Someone else is gonna build it for you. 0:30:28.782 –> 0:30:31.62 Concurrency Don’t build it, but if it’s a competitive advantage, build it. 0:30:31.462 –> 0:30:34.342 Concurrency Because that’s what that’s what allows you to beat out your competitors. 0:30:34.942 –> 0:30:36.502 Concurrency So there’s a lot of content on that. 0:30:36.502 –> 0:30:43.942 Concurrency I have a bunch of hidden slides on some of these, so if you’re interested in that I’m happy to like make sure you have access to that content. 0:30:44.582 –> 0:30:45.742 Concurrency OK, Phew. 0:30:45.782 –> 0:30:46.182 Concurrency All right. 0:30:46.182 –> 0:30:50.542 Concurrency We’ve got a lot more to go, agents and pirate, so. 0:30:51.772 –> 0:30:52.172 Concurrency Keep with me. 0:30:52.172 –> 0:30:56.292 Concurrency We’re forwarding now, continuing down the path of I built agents. I can do it. 0:30:56.292 –> 0:30:56.852 Concurrency Self-service. 0:30:56.852 –> 0:30:58.452 Concurrency Now we got power automate stuff. 0:30:58.772 –> 0:31:1.372 Concurrency Man, there’s so many cool things in the power automate space. 0:31:1.572 –> 0:31:3.132 Concurrency So power automate is about like. 0:31:4.212 –> 0:31:7.732 Concurrency Leaning on actions, leaning on automations to do things. 0:31:7.732 –> 0:31:12.652 Concurrency So here is an example of Dow’s invoicing agent. The intake and invoice. 0:31:12.652 –> 0:31:13.212 Concurrency They read it. 0:31:13.212 –> 0:31:14.292 Concurrency They read the content. 0:31:14.292 –> 0:31:15.212 Concurrency They retrieve knowledge. 0:31:15.212 –> 0:31:19.12 Concurrency They compose a report. They send out discrepancy emails where things are missing. 0:31:19.92 –> 0:31:23.812 Concurrency So the goal is take things that a person used to do, decompose it into sub steps. 0:31:24.92 –> 0:31:27.412 Concurrency Look for how I can use an AI agent to perform those activities. 0:31:27.452 –> 0:31:29.652 Concurrency So if I’m doing this thousands of times a year. 0:31:30.452 –> 0:31:33.492 Concurrency Maybe I can have an AI agent perform that activity rather than a person. 0:31:34.522 –> 0:31:38.162 Concurrency For a huge percentage of it. And then I can focus the person on the right activities. 0:31:38.202 –> 0:31:43.2 Concurrency Why this is useful is so much of this can all be done with low code. 0:31:43.362 –> 0:31:52.442 Concurrency So rather than having to be like a huge project, sometimes it can be something that has a portion of low code that’s built right into it, and then other portions might require true product engineering. 0:31:52.442 –> 0:31:55.642 Concurrency We have to really think about like, where are we really invest our time. 0:31:55.802 –> 0:31:57.722 Concurrency This is a great example of how that’s possible. 0:31:59.292 –> 0:32:0.812 Concurrency So example of doing that. 0:32:2.492 –> 0:32:2.692 Concurrency OK. 0:32:3.12 –> 0:32:7.212 Concurrency I want you to see this, so I this I’m gonna. This is the record with copilot capabilities. 0:32:7.802 –> 0:32:13.762 Concurrency So copilot has an ability to record not only your screen, but the intention behind it. 0:32:14.42 –> 0:32:25.682 Concurrency So essentially what happens is you say I’m gonna record a set of activities, copilot records those activities, but you’re also talking as those activities you like describing it like you would describe it to a person. 0:32:25.682 –> 0:32:34.882 Concurrency So if I had an intern over here and I said I want you to do this thing, you say. Cool. Ready, steady, go. And I’m going to walk through that process with you. And I’m not just going to be like. 0:32:35.692 –> 0:32:40.292 Concurrency Doing it like I would a legacy RPA tool, I’m going to describe it. 0:32:41.142 –> 0:33:2.462 Concurrency With intentionality so a person knows why I’m doing things. The new copilot automations can build these with understanding that intentionality and not just the the screen input, but the video and and and audio input about what the intent is. That allows for self healing within the process and. 0:33:2.462 –> 0:33:4.822 Concurrency Allows for it to record it in a more capable way. 0:33:4.902 –> 0:33:5.982 Concurrency So this is pretty cool. 0:33:6.772 –> 0:33:12.652 Concurrency This is going to be available for every power automate instance for you to run on these desktop automations with. 0:33:13.622 –> 0:33:16.582 Concurrency In cloud automations with so take advantage of this man. 0:33:16.582 –> 0:33:17.782 Concurrency This is gonna be really cool. 0:33:17.782 –> 0:33:21.822 Concurrency And it’s like the next level of RPA, I guess kind of a way to say it so. 0:33:23.372 –> 0:33:33.252 Concurrency A lot of content on this. I have four other slide recordings of this kind of thing in the deck that I want you to be able to take advantage of, but it would, you know, use up the rest of our time doing that, OK. 0:33:33.252 –> 0:33:35.452 Concurrency So that’s a lot of fabric and power automate. 0:33:37.132 –> 0:33:43.532 Concurrency What I want you to take from that was we have a responsibility on organizations to bring AI adoption to every employee. 0:33:44.212 –> 0:33:50.532 Concurrency So we can force multiply them within our organizations and ignite is just doubling down on that, that it’s more and more accessible. 0:33:50.652 –> 0:33:52.532 Concurrency Now let’s do so in the data space. 0:33:52.532 –> 0:33:54.452 Concurrency Fabric is about that, OK. 0:33:54.452 –> 0:33:57.492 Concurrency So fabric is about how do we make that available. 0:33:57.892 –> 0:34:6.812 Concurrency Fabric hasn’t been around for too too long, but it’s at least call a year and a half now, and it’s in use in over 70% of the Fortune 500 now. 0:34:6.812 –> 0:34:9.332 Concurrency Why? Why was Microsoft Brilliant in this? 0:34:9.332 –> 0:34:12.532 Concurrency Because they made every power BI customer a fabric customer. So. 0:34:13.332 –> 0:34:15.372 Concurrency Well over 16,000 people have taken. 0:34:15.982 –> 0:34:32.572 Concurrency There’s companies have taken Power Bi now extended that into fabric and are using that as their data platform, something that was really exciting that they announced in this session was they not only can use fabric as a data warehousing platform, but also as a database, an operational D. 0:34:32.572 –> 0:34:35.342 Concurrency Experience. Whoa. Like mind blown, right? 0:34:35.342 –> 0:34:41.822 Concurrency Like what? Fabric is not just a data warehousing tool technology. It is now going to be a operational database platform. 0:34:41.902 –> 0:34:43.342 Concurrency Yes, that’s the goal. So. 0:34:45.492 –> 0:34:51.92 Concurrency Building on fabric, realize that it’s goal is to make data access accessible for everyone. 0:34:51.252 –> 0:35:5.12 Concurrency Its goal is to enable AI flows and activities to perform and activate against fabric databases, so they announced, for example, SQL database on fabric deploy scale without having to worry about the infrastructure that sits underneath. 0:35:5.12 –> 0:35:9.932 Concurrency It’s really trying to get to like true grid computing in a sense that, like I’ve provisioned capacity. 0:35:10.732 –> 0:35:13.692 Concurrency And I’m not having to worry about anything exists underneath that. 0:35:13.812 –> 0:35:15.732 Concurrency So fabric is not just data warehouse. 0:35:15.732 –> 0:35:17.332 Concurrency Now fabric’s also about bringing in. 0:35:17.862 –> 0:35:20.262 Concurrency Operational databases into its purview. 0:35:21.342 –> 0:35:34.332 Concurrency One thing I love about what they talk about with fabric is they’ve done a really nice job of building the data web. The data, the data exploration experience right within the fabric place. I used to have to say, go to purview to get that information. Now that’s right. 0:35:34.342 –> 0:35:39.22 Concurrency Within the context of the exploratory capabilities right within fabric, so. 0:35:40.532 –> 0:35:40.692 Concurrency Like this? 0:35:40.772 –> 0:35:41.452 Concurrency Take a screenshot of it. 0:35:41.852 –> 0:35:43.572 Concurrency Happy to take some more time on this later. 0:35:43.572 –> 0:35:47.852 Concurrency Maybe we’ll do an event on fabric, but there’s a ton of content on this within Ignite. 0:35:48.292 –> 0:35:54.532 Concurrency That is worth exploring, but you can just see it all the features that they’re releasing, the one Lake catalog, is now available. 0:35:54.532 –> 0:35:56.12 Concurrency This wasn’t available before. 0:35:56.12 –> 0:36:2.572 Concurrency This is also a previous preview feature now available right within fabric that you can take advantage of. 0:36:4.132 –> 0:36:13.572 Concurrency Now, they also then announced two other kind of big things, this industry solutions capability and the addition of partner workloads. 0:36:13.852 –> 0:36:17.212 Concurrency They didn’t really have these in the boxes before. It used to just be these these five. 0:36:17.292 –> 0:36:22.652 Concurrency Now they have these these new lines within the sort of fabric one pager. 0:36:23.452 –> 0:36:25.132 Concurrency What do they mean by industry solutions? 0:36:25.332 –> 0:36:43.172 Concurrency Things like environmental sustainability, they’re preparing fabric to be like, OK, cool. When you onboard this data, we already have an industry solution that will analyse that data and provide you insights and that’s super meaningful just because like we didn’t have to invent ESG from the ground up this. 0:36:43.172 –> 0:36:44.132 Concurrency Is something that exists. 0:36:44.132 –> 0:36:47.172 Concurrency We can have a solution in there that already does it, and if you have. 0:36:47.492 –> 0:37:0.132 Concurrency Available in the right format, we can then use the industry solution and the extensibility of AI copilot on fabric to be able to have a great experience on it, which I have some more content on in a minute. 0:37:1.692 –> 0:37:4.532 Concurrency So something else that they announced in fabric is source control. 0:37:4.532 –> 0:37:18.932 Concurrency So source control in the context of the fabric configuration and the configuration of the data framework, I think that’s just like it’s funny ’cause like I’m like a day one thing like. 0:37:20.262 –> 0:37:20.902 Concurrency Day one thing. 0:37:21.422 –> 0:37:24.742 Concurrency But now they’re enabling that to be something that’s within fabric as well. 0:37:26.72 –> 0:37:27.632 Concurrency OK, database mirroring. 0:37:27.672 –> 0:37:29.592 Concurrency Tons of new database mirroring features. 0:37:29.912 –> 0:37:30.992 Concurrency Why is that meaningful? 0:37:31.72 –> 0:37:39.992 Concurrency Just because you have databases somewhere the you want to ease the process of making those databases available for analytics workloads within fabric. 0:37:40.472 –> 0:37:50.872 Concurrency If I can mirror those real time and ease that process so there’s no job that’s running, it’s just always available, at least for my bronze layer or my raw layer. That’s now something that’s available. 0:37:51.652 –> 0:37:53.92 Concurrency Already was available. 0:37:53.92 –> 0:37:56.932 Concurrency Increase the number of additional sources that are now at true GA. 0:37:57.772 –> 0:38:2.412 Concurrency Snowflake Cosmos database, Azure SQL, DATABRICKS, et cetera. 0:38:5.442 –> 0:38:12.242 Concurrency OK, something they spent a ton of time on in the session was using copilot in fabric. 0:38:12.522 –> 0:38:14.642 Concurrency So right here we have this idea around. 0:38:14.762 –> 0:38:17.122 Concurrency I’m asking questions against an established schema. 0:38:17.122 –> 0:38:18.642 Concurrency This came up this week in a project. 0:38:18.642 –> 0:38:22.282 Concurrency We’re like, have this big data project, a lot of people need to move data. 0:38:22.282 –> 0:38:30.922 Concurrency They have all these reports like, wait, how much of this reporting do we need to build and how much can we use fabric with copilot to do for us? 0:38:30.922 –> 0:38:35.362 Concurrency This is a huge jump forward, especially if you do a good job actually planning your your. 0:38:35.542 –> 0:38:37.22 Concurrency Your data framework ahead of time. 0:38:37.942 –> 0:38:44.582 Concurrency So they demoed this experience of looking at this information associated with the country of Italy. 0:38:44.942 –> 0:38:46.302 Concurrency They did this for like a challenge. 0:38:46.302 –> 0:39:0.652 Concurrency Essentially, it was like Microsoft’s first Microsoft versus a number of other analytics vendors, and then doing a competition. But one of the reasons I bring this up is because it was a nice way of describing how you can use copilot to create things. So you take this. 0:39:1.22 –> 0:39:2.262 Concurrency Blank it out say. 0:39:3.52 –> 0:39:3.732 Concurrency All right, cool. 0:39:3.732 –> 0:39:6.292 Concurrency I want to see a view of the trends of GDP over time. 0:39:6.292 –> 0:39:7.292 Concurrency They put this real time. 0:39:7.292 –> 0:39:9.132 Concurrency This was like a pre recorded thing. 0:39:10.252 –> 0:39:11.212 Concurrency They they did the. 0:39:11.822 –> 0:39:18.342 Concurrency On the right hand side and then that GDP growth became a dashboard. 0:39:18.382 –> 0:39:21.582 Concurrency That was then available for people to interact with, but then that wasn’t it. 0:39:21.662 –> 0:39:23.542 Concurrency They started to ask other questions. 0:39:23.542 –> 0:39:24.982 Concurrency So can you add in this? 0:39:24.982 –> 0:39:26.62 Concurrency Can you adjust this? 0:39:26.62 –> 0:39:34.782 Concurrency And it became a sort of cascading activity of like, adding and modifying aspects of the report, or even asking questions that are that are centric to the content in the report. 0:39:36.432 –> 0:39:44.992 Concurrency They even did this to get insights that they hadn’t previously understood. Create a page to examine poverty and health. They didn’t ask for specific things. Just build this on its own. 0:39:45.792 –> 0:39:50.712 Concurrency And then it started to think about ratios or life expectancy or? 0:39:52.252 –> 0:40:4.852 Concurrency Like different questions that you might be thinking about like out of pocket health expenditure across these different countries or in different zones or areas of the country to be able to start to think about like, well, why does this exist? 0:40:4.852 –> 0:40:6.92 Concurrency Why was there more poverty here? 0:40:6.92 –> 0:40:7.172 Concurrency Was less poverty here. 0:40:7.332 –> 0:40:9.892 Concurrency It’s really about like how do I enable data exploration? 0:40:10.662 –> 0:40:18.342 Concurrency And copilot for fabrics goal is both to enable us to be able to get that insight without us having to spend all day just building report. 0:40:18.502 –> 0:40:27.622 Concurrency Maybe I can get that insight or what I call unintuitive insights by ways of being able to converse with the data and have the data respond and provide input back to me. 0:40:27.782 –> 0:40:33.542 Concurrency And that’s where I think this is really going to keep taking steps forward, transitioning us to a different place. 0:40:35.92 –> 0:40:35.852 Concurrency So a lot happening here. 0:40:36.812 –> 0:40:41.532 Concurrency OK, I’m going to blast through this, this NBA one, but this was really. 0:40:42.62 –> 0:40:47.382 Concurrency Interesting. They did have a session with the National Basketball Association as a customer. 0:40:48.932 –> 0:40:59.812 Concurrency Surrounding AI capabilities and what they’ve launched in this upcoming season or are launching, is this new kind of AI driven insights platform associated with NBA experiences? 0:41:0.452 –> 0:41:6.52 Concurrency I know Microsoft has that strong relationship with them, so that means something to explore sometime. It’s a little bit about how NBA is using it. 0:41:6.52 –> 0:41:11.372 Concurrency There’s a whole session on it, so you want to just kind of watch it, kind of just general interesting session about AI driven outcomes. 0:41:11.902 –> 0:41:18.102 Concurrency Watch the one about the NBA because a lot of us are connected to that or have sports teams that we follow in the NBA. 0:41:19.652 –> 0:41:19.812 Concurrency OK. 0:41:19.812 –> 0:41:23.652 Concurrency So continuing forward into the copilot plus AI stack. 0:41:25.432 –> 0:41:43.392 Concurrency What Microsoft announced at Azure, or sorry at Ignite is this stack that I talked about right at the beginning. This idea of Azure AI Foundry and data and infrastructure all in the context of an idea of a trustworthy AI and what that relates to is this picture of. 0:41:43.472 –> 0:41:44.192 Concurrency AI tooling. 0:41:44.232 –> 0:41:47.32 Concurrency So the main announcement was this idea of AI foundry. 0:41:47.32 –> 0:41:50.832 Concurrency Now it’s it’s really a series of tools that existed before renamed. 0:41:51.612 –> 0:41:52.252 Concurrency And boxed together. 0:41:52.532 –> 0:41:59.172 Concurrency But it is very valuable because it’s the idea of thinking about what are all the things I need to be able to construct AI agents in a responsible way. 0:41:59.852 –> 0:42:16.12 Concurrency In the context of product engineering, so they talked a lot about this because it really focuses on how do I do this? Well, how do I, how do I investigate building an AI system that also plugs in observability, safety and security, ethical controls. 0:42:17.572 –> 0:42:18.652 Concurrency Multiple models. 0:42:18.652 –> 0:42:21.292 Concurrency Content safety all in the context of one platform. 0:42:21.292 –> 0:42:25.892 Concurrency So if you’re building AI models from the ground up, Azure AI Foundry is for you. 0:42:25.892 –> 0:42:28.52 Concurrency It’s it’s whole goal is to facilitate that. 0:42:29.692 –> 0:42:33.892 Concurrency And that allows access to things like open Ai’s most recent models or also. 0:42:34.422 –> 0:42:35.822 Concurrency A whole cacophony of other models. 0:42:35.822 –> 0:42:39.862 Concurrency There’s thousands of different other vendors in the catalog, so we always think about Openai. 0:42:40.52 –> 0:42:52.332 Concurrency It’s not the only one people like. There’s a whole bunch of other models that are available in that catalog, but what they did in this is they also built an evaluation mechanism to go and look at those models and say, well, which perform better in different types of. 0:42:52.422 –> 0:43:1.702 Concurrency Circumstances and allowing you to evaluate them in terms of just setting like the ratio between cost and features and usage to be able to determine what’s right for a particular application. 0:43:2.462 –> 0:43:6.22 Concurrency So this is an example of the catalog. You can go explore that look. 0:43:6.22 –> 0:43:9.382 Concurrency There’s 18112 models available in the catalog. 0:43:9.382 –> 0:43:11.502 Concurrency Like Holy Cow, there’s a lot of models available. 0:43:13.12 –> 0:43:15.652 Concurrency It’s not just about Openingi, it’s about a variety of different things. 0:43:15.652 –> 0:43:20.52 Concurrency We can take advantage of. You can also see some examples of them starting to build these out. 0:43:20.52 –> 0:43:21.52 Concurrency This is from a demo. 0:43:21.52 –> 0:43:23.292 Concurrency I’m not going to go into this more. This is another demo. 0:43:23.932 –> 0:43:28.572 Concurrency We’re talking about like, how do I kind of build a conversational interface on my public website? 0:43:28.892 –> 0:43:30.12 Concurrency And they built this real time. 0:43:30.12 –> 0:43:31.92 Concurrency I thought that was really interesting. 0:43:31.92 –> 0:43:32.612 Concurrency Seth Juarez was doing that. 0:43:32.612 –> 0:43:47.132 Concurrency And then they announced things like AI model fine tuning, which is sort of taking that next step upon a rag pattern or agent pattern, being able to incorporate fine tuning into the model where it’s appropriate for a particular scenario. 0:43:47.132 –> 0:43:48.412 Concurrency So there’s a lot about that here. 0:43:49.212 –> 0:43:54.692 Concurrency As well as the interaction with the these collaborations with and biases, scale, stratig and so on. 0:43:56.462 –> 0:43:58.902 Concurrency OK. They also announced the AI agent service. 0:43:58.902 –> 0:44:0.342 Concurrency What is the AI agent service? 0:44:0.582 –> 0:44:4.662 Concurrency It’s a simplification of how to build and scale AI agents. 0:44:5.102 –> 0:44:19.942 Concurrency So if that’s not using the words used to describe the word, if you’re familiar with land graph, Lang chain and semantic kernel, it’s about making it easier to use things like that, making it easier to build from the ground up. 0:44:19.942 –> 0:44:23.822 Concurrency True product engineering around AI agents in the context of. 0:44:24.732 –> 0:44:25.412 Concurrency Azure’s. 0:44:26.272 –> 0:44:31.912 Concurrency Platform and it’s available in product review. So you can start taking advantage of that too. 0:44:32.32 –> 0:44:38.232 Concurrency Think about orchestration around how you’re building those AI agents and plug in the things that are off the shelf. 0:44:38.232 –> 0:44:50.752 Concurrency So one of the things they talk about in the AI agent services, maybe I don’t need to build a certain part of orchestration, maybe I can plug it into a logic app or an Azure function or I can plug in something I built in the. 0:44:51.732 –> 0:44:53.52 Concurrency Copilot studio ecosystem. 0:44:53.52 –> 0:44:58.372 Concurrency All this then becomes available for people building and constructing related AI agent ecosystems. 0:44:58.682 –> 0:45:3.362 Concurrency That can be both fully ground up or semi code solutions that are being taken advantage of. 0:45:4.892 –> 0:45:5.812 Concurrency So super cool. 0:45:5.812 –> 0:45:7.692 Concurrency Especially if you’re building things from the ground up. 0:45:9.212 –> 0:45:25.532 Concurrency Another thing that they announced was something called structured outputs, which is essentially about like guaranteeing guaranteeing a certain structure to guarantee a certain kind of very specific structure coming out of the AI agent. 0:45:25.532 –> 0:45:31.92 Concurrency So like maybe I was working with GPT 4 before that gets responded in like a set of text. 0:45:31.92 –> 0:45:37.52 Concurrency But then I have to structure it in Jason like this is allowing me to say this is the output way. I want to see this and. 0:45:37.652 –> 0:45:39.372 Concurrency You’re going to export it this way. 0:45:39.852 –> 0:45:41.572 Concurrency So this is the transcript. 0:45:41.652 –> 0:45:47.772 Concurrency I have a call summary that’s structured in a way in a Jason that I can then take advantage of and pull right into my next step. 0:45:49.482 –> 0:46:0.762 Concurrency OK, they talked a lot about the availability of that real time audio that we talked about in the context of the Star Trek interpreter that is also available when you’re building something ground up. 0:46:0.762 –> 0:46:12.362 Concurrency So if you’re building an application completely from the ground up, you want to incorporate those capabilities in real time that’s available to you in in the Azure experience, as well as being available in teams and other places. 0:46:15.142 –> 0:46:17.862 Concurrency Lots of new capabilities on risk and safety evaluations. 0:46:17.952 –> 0:46:20.232 Concurrency I would highly recommend the session by Sarah Byrd. 0:46:20.652 –> 0:46:25.172 Concurrency Sarah Bird talked a lot about all the capabilities of Microsoft’s building on AI safety. 0:46:25.172 –> 0:46:28.412 Concurrency So if you wanna deep dive into that, spend some time on Sarah Bird session. 0:46:28.412 –> 0:46:29.572 Concurrency I think you’ll find it really valuable. 0:46:31.202 –> 0:46:39.522 Concurrency OK, if you’re building things from the ground up, you’re probably using GitHub, GitHub workspaces, copilot inside of GitHub. 0:46:40.2 –> 0:46:45.722 Concurrency Lots of capabilities announced around GitHub, so there’s several good sessions around. 0:46:45.802 –> 0:46:47.962 Concurrency How do I build a secure dev OPS lifecycle? 0:46:47.962 –> 0:46:49.322 Concurrency I’ve got a bunch of hidden content. 0:46:49.322 –> 0:47:1.122 Concurrency There’s so much on this particular area that you can take advantage of in this space, but around building code, integrating code, deploying code, operating monitoring code, and then using GitHub to get a copilot to be able. 0:47:1.282 –> 0:47:2.482 Concurrency Minimize each of these pieces. 0:47:3.992 –> 0:47:6.312 Concurrency One interesting thing they talked about was copilot autofix. 0:47:6.312 –> 0:47:15.752 Concurrency This idea of taking an error that happens and then applying a fix to it that copilot recommends. That’s called copilot. Fix it. 0:47:15.912 –> 0:47:18.592 Concurrency It aligns with GitHub advanced Security as well. 0:47:18.592 –> 0:47:21.712 Concurrency So one of the things that’s really exciting about this is there’s. 0:47:23.752 –> 0:47:30.592 Concurrency The copilot of GitHub can index essentially your code repositories and then look for those. 0:47:32.92 –> 0:47:37.652 Concurrency Baseline problems across your code repositories and then recommend fixes to those problems. 0:47:37.772 –> 0:47:39.972 Concurrency So what a great capability for us, right? 0:47:40.12 –> 0:47:54.872 Concurrency Cuz we would never be able to really, truly understand everything that we have in our full repo. I can apply some intelligence across that to be able to look for those kinds of problems and remediate them and then suggest recommendations to that to the code that needs to. 0:47:54.872 –> 0:47:55.492 Concurrency Be remediated so. 0:47:56.352 –> 0:47:56.992 Concurrency This is pretty cool. 0:47:57.32 –> 0:48:0.592 Concurrency I think it’s a. It’s just another great asset for for developers to be more effective. 0:48:2.822 –> 0:48:5.622 Concurrency Certainly additional ingestion of defender in cloud. 0:48:5.622 –> 0:48:12.462 Concurrency That’s just what I was mentioning as well around scanning connected repositories and providing critical feedback around those repositories. 0:48:12.462 –> 0:48:20.382 Concurrency So this is a new capability for Microsoft Defender for cloud, very much tied to operating and engaging a successful development effort. 0:48:22.482 –> 0:48:27.882 Concurrency If you wanna know about the Azure DevOps and GitHub integration road map boom, here it is. 0:48:27.962 –> 0:48:32.642 Concurrency So this was something that I always wonder about. 0:48:32.642 –> 0:48:34.882 Concurrency I’m always curious about like, you’ve got two things. 0:48:34.882 –> 0:48:36.442 Concurrency How are you integrating these together? 0:48:37.82 –> 0:48:42.522 Concurrency This is a link to go check out that public road map of how those integrations are continuing to progress. 0:48:42.962 –> 0:48:52.122 Concurrency I think you probably find that useful if you are investing time in either one of those two places. If you built everything in GitHub and all your repos there, maybe you don’t care as much. 0:48:52.272 –> 0:48:59.592 Concurrency An Azure Dev OPS anymore? Or if you’re on the Azure Dev OPS side, you’re like man, I wanna take advantage of the stuff that’s happening on the server GitHub space. 0:48:59.632 –> 0:49:1.72 Concurrency How do those integrating together? 0:49:1.72 –> 0:49:3.352 Concurrency This is a good space for you to learn more about that. 0:49:5.2 –> 0:49:5.522 Concurrency OK. 0:49:5.522 –> 0:49:7.442 Concurrency Now we’re getting into some really wild stuff. 0:49:8.992 –> 0:49:14.512 Concurrency They talked about quantum computing and I was always like, when are they gonna talk more about that again, like that’s it. 0:49:14.952 –> 0:49:31.752 Concurrency It always feels like something that’s like so close, but so far away, and if you really want to go nerd out like there’s a whole session on quantum computing and they did announce that atom computing at Microsoft are bringing to market a powerful, they call it the most. 0:49:31.752 –> 0:49:37.392 Concurrency Powerful quantum machine, but one of the things that’s really important about it is Microsoft has a different approach. 0:49:37.722 –> 0:49:43.2 Concurrency 2 quantum computing that brings in to summarize this very quickly brings in. 0:49:44.552 –> 0:49:57.752 Concurrency An error checking capability that that builds more stable qubits. OK, so like, what’s the problem with quantum computing? Qubits are really unstable, so to scale it, you need an enormous number of qubits. 0:49:57.872 –> 0:50:6.352 Concurrency So the way Microsoft’s attacking this is because of the stability of the qubit they’re building, they need less qubits to create a stable quantum machine. 0:50:6.392 –> 0:50:7.352 Concurrency Why is that important? 0:50:7.932 –> 0:50:15.52 Concurrency Quantum computing is the last will allow us to solve problems we can never think of solving before and also makes. 0:50:16.592 –> 0:50:26.672 Concurrency Sort of makes vulnerable certain types of things that weren’t vulnerable before, because we can solve math problems that we weren’t weren’t available, like cryptography, for example, is very vulnerable to quantum computing. 0:50:27.392 –> 0:50:40.512 Concurrency So they talked about like the evolution of that in the context of penal assault, certain types of problems not going to go into this in any more detail right now, but grab the deck and you’ll be able to explore this. And there’s a whole session on it was. 0:50:40.512 –> 0:50:41.32 Concurrency Super fast. 0:50:41.602 –> 0:50:49.722 Concurrency It’s worth your time if you’re into innovation and wanna explore where tech is going as quantum computing becomes a thing. 0:50:51.232 –> 0:51:0.272 Concurrency OK, so I spend the rest of the time on uh, the Azure platform and some some Azure Windows platform as we kinda dial in toward the end here. 0:51:0.712 –> 0:51:4.992 Concurrency So Azure platform, we already know it’s everywhere. It’s launching regions all over the place. 0:51:4.992 –> 0:51:8.672 Concurrency There’s one launching in my backyard in pleasant Prairie, right? 0:51:8.672 –> 0:51:10.592 Concurrency Like it’s it is all over the place. 0:51:10.592 –> 0:51:16.992 Concurrency So like it’s it’s getting to a point where like there’s an Azure region everywhere there. So, but there’s also capacity needs and there’s a goal around. 0:51:17.792 –> 0:51:19.472 Concurrency Associating in supporting that capacity. 0:51:19.472 –> 0:51:22.32 Concurrency One of the things they talked about at Ignite. 0:51:22.722 –> 0:51:33.882 Concurrency Is the management tooling that’s surrounding the Azure experience called Azure Ark, and that’s that’s inside of existing machines in Azure. 0:51:33.922 –> 0:51:47.842 Concurrency But the big announcement was this idea of was this idea of Azure arc for every connected device, whether it’s in your data center or in Azure, that Azure Arc becomes a centralized management tool that. 0:51:48.632 –> 0:51:53.592 Concurrency Supports all platforms, including something they announced called Azure Local Azure Local is. 0:51:54.252 –> 0:52:1.132 Concurrency An ability to have essentially local Azure data center they used to call it Azure Stack, which was like super confusing. 0:52:1.132 –> 0:52:2.332 Concurrency Like, what do you mean the Azure stack? 0:52:2.332 –> 0:52:5.252 Concurrency Like, yeah, like you mean the thing that’s local to the data center. 0:52:5.252 –> 0:52:8.252 Concurrency No, that’s the answer is like like it’s just it was a stupid name. 0:52:8.452 –> 0:52:18.612 Concurrency Now they call it Azure Local, which is like essentially a local version of an Azure data center in your data center that looks like and feels like it’s an Azure region, except it’s in your physical facility. 0:52:18.612 –> 0:52:20.332 Concurrency So Azure, that’s what Azure local is. 0:52:21.552 –> 0:52:25.432 Concurrency For both of those, you have access to tools like Azure Update management. 0:52:25.432 –> 0:52:27.312 Concurrency Why should you care about this? Because. 0:52:28.192 –> 0:52:37.672 Concurrency You should be using configuration manager patch machines anymore, so if you are, that’s a kind of a reminder, like oh wait, shoot like configuration manager really isn’t the tool to patch machines anymore. 0:52:37.752 –> 0:52:40.312 Concurrency I should be using things like Azure Update manager now. 0:52:40.312 –> 0:52:51.232 Concurrency Why is that something that is important to know a just simply because SCCM configuration manager is receding the they’re making this free to everyone that has. 0:52:51.232 –> 0:52:58.72 Concurrency Well, free if you have a licensing agreement for your for your Your Windows Server, you can use Azure update manager. 0:52:58.572 –> 0:53:1.732 Concurrency So let me show you that I’m just jumping ahead here. 0:53:3.272 –> 0:53:3.912 Concurrency There it is. OK. 0:53:4.192 –> 0:53:12.672 Concurrency So this is the Azure benefits now available to every organization that has licensed software assurance. 0:53:12.672 –> 0:53:18.552 Concurrency So update manager, change tracking machine configuration, remote support. 0:53:20.192 –> 0:53:24.792 Concurrency Site recovery configuration. All these things become available to every machine in your fleet. 0:53:24.792 –> 0:53:26.832 Concurrency So why is this worthwhile? 0:53:26.832 –> 0:53:30.792 Concurrency Because you need to move away from using configuration manager in the first place. 0:53:31.612 –> 0:53:38.772 Concurrency But it also ingests a whole set of other capabilities for you that you can take advantage of in in the context of your data center ecosystem. 0:53:38.772 –> 0:53:53.792 Concurrency So this I think is probably the if there’s one take home point associated with the Azure ecosystem, it was lots of management tooling and it’s available for you even if you’re not sure which is really the key point. I’ll let you guys kind of peruse the deck around. 0:53:53.792 –> 0:53:56.412 Concurrency Some of the other things they have in the management space. 0:53:57.192 –> 0:54:1.192 Concurrency One of those is just like around migration and modernization and cost management. 0:54:1.782 –> 0:54:3.662 Concurrency Lots of cool things that happen there. 0:54:4.22 –> 0:54:5.62 Concurrency Very very useful. 0:54:5.62 –> 0:54:6.902 Concurrency Very meaningful conversations. 0:54:7.182 –> 0:54:12.262 Concurrency So if you wanna double click into that, I’ll get all the deck content to you and we’ll be happy to talk more about it as well. 0:54:13.342 –> 0:54:19.382 Concurrency OK. Something they talked a little bit about for all you IoT fans, is Azure IoT operations. 0:54:20.142 –> 0:54:31.702 Concurrency This is about managing all the other assets that exist in your ecosystem and you know they gave an example of like a dairy fridge like cool, like, we got this dairy fridge, we want to know what it. 0:54:32.2 –> 0:54:41.42 Concurrency I wanna connect it to something this idea that Azure IoT operation provides this Broadview of very connected device inside of my managed ecosystem. 0:54:41.602 –> 0:54:52.2 Concurrency Lots of new tooling associated with IoT, so if that’s something you’re exploring is like, hey, I have this AI thing I wanna do with all my connected devices, but my devices aren’t even connected yet. 0:54:52.2 –> 0:54:53.202 Concurrency How do I get them connected? 0:54:53.762 –> 0:55:1.562 Concurrency This is a space. They’ve been doing some investment in, so they were showing examples of like, you know, attract that and see what’s happening within the. 0:55:2.42 –> 0:55:7.2 Concurrency Manufacturing the system or the the OT environment as we were talking about or. 0:55:8.552 –> 0:55:11.672 Concurrency The products I sold to my end customers as a product. 0:55:13.312 –> 0:55:17.152 Concurrency All that being something I can manage in the context of Azure, OK. 0:55:17.152 –> 0:55:22.32 Concurrency Last topic, windows. Holy smokes, you might actually do this, so windows. 0:55:22.112 –> 0:55:23.592 Concurrency So what is happening with Windows? 0:55:23.992 –> 0:55:27.912 Concurrency They release something called cloud PC, Windows 365 a little while ago. 0:55:27.912 –> 0:55:28.832 Concurrency They’re calling cloud PC. 0:55:28.832 –> 0:55:31.272 Concurrency They even showed like this little. 0:55:31.842 –> 0:55:35.602 Concurrency We must have been about the size of a deck of cards, plus maybe another half a deck of cards. 0:55:35.602 –> 0:55:35.802 Concurrency OK. 0:55:35.802 –> 0:55:39.762 Concurrency It was like super small and it’s like basically a remote PC, right? 0:55:39.762 –> 0:55:44.562 Concurrency So like I put that in and it connects to Windows 365 and there’s nothing local. 0:55:44.562 –> 0:55:45.722 Concurrency There’s nothing on a laptop. 0:55:45.722 –> 0:55:48.2 Concurrency It’s all Windows 365 off in the other world. 0:55:48.2 –> 0:55:50.962 Concurrency Like, well, like, yeah, cool. We’ve been doing that forever with, like Citrix and stuff. 0:55:51.282 –> 0:55:58.562 Concurrency This is like a toll a licensing model that’s very accessible in that device is like a really super small form factor to make that happen. So. 0:55:59.352 –> 0:56:5.152 Concurrency They talked a lot about cloud PCA, lot of really cool things happening there both for Azure Virtual Desktop and Windows 365. 0:56:5.152 –> 0:56:10.432 Concurrency Windows 365 is essentially a SaaS version of that, so there’s some reports to talking about. 0:56:10.432 –> 0:56:15.592 Concurrency Like what that look like? The conditional access controls are just as capable. 0:56:16.42 –> 0:56:17.842 Concurrency That is there with anything else I thought. 0:56:17.842 –> 0:56:22.162 Concurrency Some interesting policy snapshots associated with being able to apply that via Intune. 0:56:22.242 –> 0:56:27.522 Concurrency So basically all that’s managed via Intune, Intune is becoming like the single pane for all that capability. 0:56:29.122 –> 0:56:35.602 Concurrency This is your daily reminder that Windows 10 support ends in October 14th, 2025, so you better have a plan to move to Windows 11. 0:56:36.122 –> 0:56:41.82 Concurrency And they did talk a lot about Autopilot deploying with with Intune. 0:56:42.602 –> 0:56:47.562 Concurrency Getting away from this idea of imaging enrolling things out like if you haven’t had that conversation yet, let’s have that conversation. 0:56:47.562 –> 0:56:49.722 Concurrency I’d be happy to walk you through how to make that transition. 0:56:49.882 –> 0:56:53.762 Concurrency This is an important reminder for now’s the time. Go make that change. 0:56:55.522 –> 0:56:57.202 Concurrency Oh shoot, I forgot I have one more topic. 0:56:58.122 –> 0:57:0.602 Concurrency Identity and security. OK, so. 0:57:1.352 –> 0:57:5.912 Concurrency Intra man, I hate that name, but they did change the name to intra. 0:57:5.912 –> 0:57:14.432 Concurrency No longer called Azure Active Directory and they did have a lot of cool content around Microsoft intra in the conversation at Ignite. 0:57:14.912 –> 0:57:26.472 Concurrency This is for internal IDs Intrasuite the external identities. All of that part of an ecosystem of caring about identity within the ecosystem, and I think this is a probably the best view of it. 0:57:26.512 –> 0:57:31.312 Concurrency Any employee, any location, any platform, any device accessing a variety of different things. 0:57:31.772 –> 0:57:43.412 Concurrency Within as an employee with their SaaS websites, Microsoft 365 or any of the resources I’m using across multiple clouds, there’s a great link right there to go learn more about the details of things that came out. 0:57:43.452 –> 0:57:46.972 Concurrency They spent time talking about enter for employee access. 0:57:47.12 –> 0:57:54.572 Concurrency They talked about external ID and they talked about security copilot, which is kind of sort of like ways of making that data more accessible. 0:57:54.612 –> 0:57:56.212 Concurrency So definitely take a. 0:57:56.212 –> 0:57:59.892 Concurrency Take a double click into the things that they’re talking about regarding the interest suite. 0:58:1.102 –> 0:58:2.862 Concurrency OK, then I’m gonna cover any of this stuff. 0:58:3.62 –> 0:58:10.782 Concurrency But if you know who Mark Russinovich is, he’s the CTO of Azure. He talked about all sorts of interesting Azure incubation sessions. 0:58:10.782 –> 0:58:23.622 Concurrency He’s that’s like if there’s a session I never miss at Ignite or the MVP summit or build, it’s Mark Krasinovich’s session because he always talks about like, cool stuff they’re doing right. 0:58:23.622 –> 0:58:29.422 Concurrency So he talks about like things that are incubating that aren’t even in the wild yet or aren’t in the wild like dapper. 0:58:30.202 –> 0:58:32.242 Concurrency Or radius or draszy like stuff that like. 0:58:32.932 –> 0:58:34.652 Concurrency Their ears are just hitting the wild. 0:58:34.812 –> 0:58:38.132 Concurrency Or it’s things like radius that are like in sammet. 0:58:38.132 –> 0:58:39.812 Concurrency They’re just talking about it. 0:58:39.812 –> 0:58:41.332 Concurrency They’re getting it out there. 0:58:41.652 –> 0:58:49.772 Concurrency It’s just interesting topics around like where they’re investing future time and how that starts to relate to things that we’re gonna invest our activities in. 0:58:49.772 –> 0:58:58.172 Concurrency So spend some time if you wanna like learn about where they’re putting new energy into new capabilities to innovate around the Azure ecosystem. 0:58:59.42 –> 0:59:0.162 Concurrency Watch Microsoft’s session. 0:59:0.402 –> 0:59:2.122 Concurrency I put a bunch of like slides of that in here. 0:59:2.122 –> 0:59:4.722 Concurrency I’m just gonna plow through them real quick, just so you can kind of see it through there. 0:59:6.12 –> 0:59:8.652 Concurrency You talked about confidential AI, which is fascinating. 0:59:8.812 –> 0:59:17.132 Concurrency Confidential clean rooms, talking about confidential computing, which is like executing data in use controls tons of cool stuff. 0:59:17.292 –> 0:59:30.852 Concurrency So it was totally worth it to watch that. And then I’ve got other stuff here which is other Azure infrastructure stuff that he digs into, which I’m not going to cover in this session, but like holy cow, there’s a lot there to, to experience like. 0:59:31.642 –> 0:59:37.762 Concurrency Remote storage and Azure container instances, standby pools and this idea of front door edge actions. 0:59:38.492 –> 0:59:43.932 Concurrency So all that was pretty cool and holy cow, we actually kind of made it covering all the rest of that content. 0:59:43.932 –> 0:59:48.532 Concurrency So where we go from here when you leave, I want you to fill up the survey. 0:59:48.812 –> 0:59:50.172 Concurrency Hopefully this was interesting. 0:59:50.172 –> 0:59:51.932 Concurrency It sure was interesting for me to put together. 0:59:53.482 –> 0:59:53.522 Concurrency A. 0:59:53.522 –> 0:59:56.802 Concurrency Get a copy of the deck. I spent a lot of time putting this together. 0:59:56.802 –> 1:0:2.762 Concurrency I want you to have access to it, so click that you want to copy the deck. We would love to bring the event to your company. 1:0:2.762 –> 1:0:8.922 Concurrency So what I’ve been thinking about is I love to go to your companies and talk about the topics that were meaningful for you in this. 1:0:9.442 –> 1:0:15.642 Concurrency Like there’s certain area you want to like double click into explore, think about or even have us just present this content to your company. 1:0:15.722 –> 1:0:16.402 Concurrency We’re all in. 1:0:16.402 –> 1:0:27.882 Concurrency We love to do that, so feel free to plug us on that or deep dive into any content. And then the last thing is there’s a tremendous amount of funding available right now and especially around copilot adoption. 1:0:29.442 –> 1:0:32.322 Concurrency And we’ll cover the whole thing usually. But like it is available. 1:0:32.322 –> 1:0:33.922 Concurrency So let’s take advantage of it. 1:0:33.922 –> 1:0:39.242 Concurrency So if you want to simply explore like what are the funding opportunities that Microsoft is giving you to accelerate? 1:0:39.242 –> 1:0:44.482 Concurrency Any one of the things we talked about today, we would love to educate you around what those funding opportunities are. 1:0:45.12 –> 1:0:50.652 Concurrency So if you said, hey, like I’ve got a plan of deploying copilot this year, what will Microsoft do to help support that deployment? 1:0:52.162 –> 1:0:53.842 Concurrency There are programs that help support that deployment. 1:0:53.882 –> 1:0:54.722 Concurrency Let’s talk about them. 1:0:55.202 –> 1:0:59.482 Concurrency Let’s talk about our offering to help accelerate that and make that real. So cool. 1:1:1.122 –> 1:1:2.522 Concurrency We almost stay within our 12. 1:1:2.522 –> 1:1:3.202 Concurrency It’s 1201. 1:1:3.202 –> 1:1:4.242 Concurrency Thank you everyone. 1:1:4.362 –> 1:1:8.162 Concurrency What a great opportunity for us to talk about some interesting things. 1:1:8.522 –> 1:1:16.842 Concurrency Thank you for listening. Like to me talk in super speed motion for an hour and I love to have a follow up with each of you on any of these things. 1:1:16.842 –> 1:1:18.202 Concurrency So let’s get some time. 1:1:18.202 –> 1:1:19.722 Concurrency Let’s talk about it and have an awesome day.