/ Insights / View Recording: Best of Microsoft Ignite 2024 Insights View Recording: Best of Microsoft Ignite 2024 December 5, 2024Dive into the future of tech excellence with our exclusive virtual workshop covering the best of Ignite! Microsoft Ignite announces the next progression of many of Microsoft’s OpenAI, Copilot, Fabric, M365, and Azure capabilities. If you want all the best news in one place, spend an hour with us while we go through the hottest topics. Back by popular demand… this event is always the highest rated and appreciated among the community. Transcription Collapsed Transcription Expanded Nathan Lasnoski 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 Nathan Lasnoski And I am so. 0:0:27.82 –> 0:0:30.242 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski So I think you’re gonna really find this a great experience. 0:1:0.772 –> 0:1:2.132 Nathan Lasnoski You’re gonna get a lot of content. 0:1:2.132 –> 0:1:4.92 Nathan Lasnoski It’s gonna feel like you got hit by a fire hose. 0:1:4.92 –> 0:1:12.212 Nathan Lasnoski 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 Nathan Lasnoski So we’re gonna make that available as. 0:1:14.722 –> 0:1:17.802 Nathan Lasnoski A as a take home as we get started. 0:1:18.102 –> 0:1:26.262 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski There we go. All right. 0:1:37.672 –> 0:1:42.32 Nathan Lasnoski So for everyone, please select your top three interest areas and submit. 0:1:42.592 –> 0:1:47.352 Nathan Lasnoski I would love to love to see your. 0:1:49.322 –> 0:1:49.642 Nathan Lasnoski Results from that. 0:1:52.882 –> 0:1:53.602 Nathan Lasnoski Let’s see. 0:1:57.152 –> 0:1:57.952 Nathan Lasnoski This is mine. 0:2:6.762 –> 0:2:9.762 Nathan Lasnoski I haven’t seen copilot Copilot’s studio leading here. 0:2:11.322 –> 0:2:11.882 Nathan Lasnoski Fabric. 0:2:14.172 –> 0:2:14.972 Nathan Lasnoski Vote for quantum. 0:2:14.972 –> 0:2:15.892 Nathan Lasnoski That might have been mine. 0:2:23.682 –> 0:2:24.402 Nathan Lasnoski Cool. Thank you. 0:2:24.402 –> 0:2:30.882 Nathan Lasnoski 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 Nathan Lasnoski Keep that coming along while I do some introduction here. So OK, nice to meet everybody. 0:2:35.642 –> 0:2:36.802 Nathan Lasnoski I’m Nathan lozanoski. 0:2:36.802 –> 0:2:41.322 Nathan Lasnoski I’m concurrency’s chief technology officer. I would love to connect with all of you. 0:2:41.522 –> 0:2:45.362 Nathan Lasnoski This is my LinkedIn QR code so follow me on LinkedIn. 0:2:45.362 –> 0:2:51.522 Nathan Lasnoski 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 Nathan Lasnoski There’s about 25. 0:2:53.502 –> 0:3:1.102 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Today what? 0:3:9.722 –> 0:3:14.922 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski One reason I want to make sure I give you the the deck. 0:3:23.932 –> 0:3:28.652 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski And to find interesting things that are going to be meaningful to you as you. 0:3:54.252 –> 0:4:4.132 Nathan Lasnoski 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 Nathan Lasnoski Maybe only in the top four things. 0:4:6.52 –> 0:4:7.892 Nathan Lasnoski So we’re gonna do a lot of content here. 0:4:8.252 –> 0:4:15.52 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski As a as a take home. 0:4:23.582 –> 0:4:26.102 Nathan Lasnoski Right. So keynote, let’s start with that. 0:4:26.222 –> 0:4:27.422 Nathan Lasnoski So what happened in the keynote? 0:4:27.422 –> 0:4:31.422 Nathan Lasnoski Well, there’s two main things that Satya really started to hit on in the keynote. 0:4:31.742 –> 0:4:51.522 Nathan Lasnoski 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 Nathan Lasnoski Way that. 0:4:52.402 –> 0:4:57.642 Nathan Lasnoski Keeps dropping the bar of our base skill necessary to take advantage of the? 0:4:58.182 –> 0:5:5.462 Nathan Lasnoski 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 Nathan Lasnoski They’re not launching an App Store on your phone per southeast. 0:5:8.542 –> 0:5:14.862 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski And agents that exist underneath both of those vehicles. 0:5:28.702 –> 0:5:47.782 Nathan Lasnoski 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 Nathan Lasnoski That off to a technology person. 0:5:49.282 –> 0:5:57.722 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Talks about the copilot and AI stack and when you think about the copilot AI stack. 0:6:18.342 –> 0:6:20.902 Nathan Lasnoski He’s really talking about how we’re building AI systems. 0:6:20.902 –> 0:6:26.542 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski That they talk about at Ignite. 0:6:59.272 –> 0:7:11.912 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Like, why can’t I take a prompt that I’ve been working with? 0:7:42.312 –> 0:7:51.552 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski But let me look at my calendar and find the right times. 0:8:18.732 –> 0:8:28.612 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Amplifying that within the adoption within enterprise. 0:8:50.672 –> 0:9:9.262 Nathan Lasnoski 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 Nathan Lasnoski A. 0:9:9.272 –> 0:9:12.232 Nathan Lasnoski Give me a graph of the content in this inside that Excel workbook. 0:9:13.22 –> 0:9:20.782 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski There’s a new feature you might have experienced within copilot. 0:9:38.642 –> 0:9:47.202 Nathan Lasnoski 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 Nathan Lasnoski Interaction that’s private to me, but making interaction that is shared with others. 0:9:53.522 –> 0:10:1.442 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski It’s also a new way of of surfacing that that. 0:10:23.272 –> 0:10:40.312 Nathan Lasnoski 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 Nathan Lasnoski Available in a collaborative space with pages. 0:10:42.232 –> 0:10:51.392 Nathan Lasnoski 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 Nathan Lasnoski It’s like it’s not word, it’s. 0:10:53.402 –> 0:10:55.522 Nathan Lasnoski Excel it’s not a PowerPoint. 0:10:55.522 –> 0:11:7.362 Nathan Lasnoski 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 Nathan Lasnoski So note that that’s something that they talked a lot about. 0:11:12.442 –> 0:11:17.882 Nathan Lasnoski 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 Nathan Lasnoski What are copilot actions? 0:11:19.322 –> 0:11:27.282 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski I share this this this content right? 0:11:40.802 –> 0:11:42.402 Nathan Lasnoski I send out my my schedule so. 0:11:42.512 –> 0:11:46.552 Nathan Lasnoski 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 Nathan Lasnoski I wanna send out these updates. 0:11:47.992 –> 0:11:51.992 Nathan Lasnoski What copilot actions are taking those prompts? 0:11:53.742 –> 0:12:5.942 Nathan Lasnoski 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 Nathan Lasnoski Maybe I come in in the morning. 0:12:6.942 –> 0:12:11.782 Nathan Lasnoski I wanna already see the summary of my inbox right in front of me. 0:12:11.982 –> 0:12:16.902 Nathan Lasnoski Or maybe I want to create these assets every single time this trigger fires? 0:12:17.632 –> 0:12:24.192 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Of copilot actions. 0:12:49.232 –> 0:12:51.872 Nathan Lasnoski What’s happening is I’m preparing that in advance. 0:12:52.112 –> 0:13:7.32 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski So analytics shows the business outcome relationships associated with copilot usage. 0:14:1.272 –> 0:14:4.792 Nathan Lasnoski So there’s all these different metrics that you can start to line this up with. 0:14:4.792 –> 0:14:6.512 Nathan Lasnoski So one of the examples they showed was. 0:14:8.62 –> 0:14:19.622 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski They summarize the meeting and they send them out immediately afterward. 0:14:51.572 –> 0:14:53.132 Nathan Lasnoski They have a trigger that they’re firing. 0:14:53.902 –> 0:14:54.342 Nathan Lasnoski Based upon. 0:14:56.102 –> 0:15:3.462 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski And how AI is actually force multiplying them? 0:15:22.582 –> 0:15:27.862 Nathan Lasnoski 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 Nathan Lasnoski So copilot, dashboard, copilot, analytics super useful. 0:15:31.872 –> 0:15:48.32 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Maybe we’re seeing higher customer sat with those individuals. 0:16:12.302 –> 0:16:18.702 Nathan Lasnoski We’re seeing better responses, so super valuable capability and the more they apply. 0:16:20.252 –> 0:16:25.772 Nathan Lasnoski 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 Nathan Lasnoski Same kind of view here. 0:16:28.942 –> 0:16:39.302 Nathan Lasnoski 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 Nathan Lasnoski Little bit more about that you can get that later. 0:16:42.692 –> 0:16:43.652 Nathan Lasnoski Spend some time with it. 0:16:43.652 –> 0:16:50.692 Nathan Lasnoski 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 Nathan Lasnoski What is this? 0:16:51.612 –> 0:16:55.492 Nathan Lasnoski This is like the blanket across the whole ecosystem, OK. 0:16:55.532 –> 0:16:57.852 Nathan Lasnoski So it’s talking about the things we just mentioned. 0:16:58.392 –> 0:17:6.192 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski What and what features can they use? 0:17:25.32 –> 0:17:27.992 Nathan Lasnoski Copilot control Systems goal is to be able to facilitate. 0:17:28.542 –> 0:17:38.302 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Maybe the wrong word, but like. 0:17:55.452 –> 0:17:57.932 Nathan Lasnoski 500 user Plus 1000 user, plus you know they’re. 0:17:58.662 –> 0:18:6.22 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski So what are SharePoint agents? 0:18:17.582 –> 0:18:21.62 Nathan Lasnoski Let’s say you have a SharePoint document library, right? 0:18:21.62 –> 0:18:22.502 Nathan Lasnoski In SharePoint there’s this button. 0:18:23.692 –> 0:18:28.732 Nathan Lasnoski Where it says OK, cool. Build an agent that summarizes that’s FAQ. 0:18:29.412 –> 0:18:36.372 Nathan Lasnoski 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 Nathan Lasnoski Fascinating, right? 0:18:38.652 –> 0:18:42.812 Nathan Lasnoski How fast you can create agents based upon known content? 0:18:43.492 –> 0:18:51.492 Nathan Lasnoski 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 Nathan Lasnoski Copilot student agent that can perform activities against contents in a SharePoint list. 0:18:56.12 –> 0:18:59.132 Nathan Lasnoski There’s this create agent button here to also kind of go to the same place. 0:19:1.412 –> 0:19:6.372 Nathan Lasnoski Just making the creation of intelligence agents even more accessible than it was before. 0:19:8.532 –> 0:19:12.292 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Like, how are you talking with all these aliens? 0:19:22.932 –> 0:19:24.412 Nathan Lasnoski And it sounds like they’re speaking English. 0:19:24.412 –> 0:19:25.532 Nathan Lasnoski Like what’s going on here? 0:19:25.852 –> 0:19:28.132 Nathan Lasnoski And I remember what was it? 0:19:28.132 –> 0:19:31.292 Nathan Lasnoski Star Trek The undiscovered country. 0:19:31.912 –> 0:19:39.592 Nathan Lasnoski 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 Nathan Lasnoski Oh, they had to go. 0:19:40.312 –> 0:19:54.232 Nathan Lasnoski 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 Nathan Lasnoski I’m speaking to you. 0:19:54.992 –> 0:19:57.752 Nathan Lasnoski You’re speaking to me and it sounds like me. 0:19:57.872 –> 0:20:1.872 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski It actually sounds like me saying a different language. 0:20:11.252 –> 0:20:13.932 Nathan Lasnoski Crazy talk like this is so cool. 0:20:14.292 –> 0:20:19.212 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski That was like a moment for me when I just when I saw the Interpre agent. 0:21:3.532 –> 0:21:7.532 Nathan Lasnoski OK, so building on the conversation about copyle, let’s talk about copile agents in studio. 0:21:9.172 –> 0:21:21.772 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski That’s the future, people. 0:21:54.552 –> 0:22:1.32 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski With each of those agents. 0:22:10.412 –> 0:22:30.252 Nathan Lasnoski 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 Nathan Lasnoski Exciting the amount of impact that we can drive. 0:22:32.132 –> 0:22:37.292 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Work through it, man. Like it’s doing some cool stuff. 0:23:23.2 –> 0:23:24.562 Nathan Lasnoski I’ve already built a whole slew of agents. 0:23:26.92 –> 0:23:31.852 Nathan Lasnoski 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 Nathan Lasnoski Does it need governance? 0:23:33.332 –> 0:23:36.252 Nathan Lasnoski Yes, that’s why the control system exists. 0:23:36.252 –> 0:23:38.412 Nathan Lasnoski That’s why you need to do enablement activities. 0:23:38.412 –> 0:23:45.52 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Really cool stuff. 0:23:53.442 –> 0:24:4.522 Nathan Lasnoski 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 Nathan Lasnoski Bounce up certain information in the rankings. 0:24:10.572 –> 0:24:22.372 Nathan Lasnoski 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 Nathan Lasnoski Haven’t played much with copilot studio. This is the interface for copilot studio. 0:24:27.372 –> 0:24:30.532 Nathan Lasnoski And then there’s a testing experience over here to play with your agent. 0:24:30.932 –> 0:24:44.172 Nathan Lasnoski 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 Nathan Lasnoski Keep sticking with me. 0:24:46.582 –> 0:24:47.702 Nathan Lasnoski There’s a lot here. 0:24:47.822 –> 0:24:57.502 Nathan Lasnoski 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 Nathan Lasnoski How is it work? 0:25:0.562 –> 0:25:2.42 Nathan Lasnoski Is it doing what it’s supposed to do? 0:25:3.612 –> 0:25:18.572 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Like, let’s let’s focus our content toward the thing we’re trying to answer. 0:25:52.72 –> 0:25:54.32 Nathan Lasnoski So analytics help us to be able to do that. 0:25:56.162 –> 0:26:12.802 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski To wait. 0:26:25.472 –> 0:26:28.32 Nathan Lasnoski I wanna kinda manage some of the dials of this thing. 0:26:28.32 –> 0:26:30.72 Nathan Lasnoski I wanna work with topics, I wanna adjust it. 0:26:30.72 –> 0:26:30.992 Nathan Lasnoski I need to know what happened. 0:26:32.152 –> 0:26:49.312 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski So lots going on. 0:27:5.852 –> 0:27:12.12 Nathan Lasnoski 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 Nathan Lasnoski Why is it so valuable? 0:27:13.972 –> 0:27:20.132 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Get for them. 0:27:32.902 –> 0:27:40.942 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Let’s try to stay away from that. 0:28:18.612 –> 0:28:24.292 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Is is useful too. 0:28:33.812 –> 0:28:36.892 Nathan Lasnoski So like, hey, I’ve got a person from my team interacting with my bot. 0:28:37.92 –> 0:28:38.172 Nathan Lasnoski What did they do? 0:28:38.252 –> 0:28:38.972 Nathan Lasnoski Who was doing it? 0:28:40.612 –> 0:28:41.892 Nathan Lasnoski Especially like they tried to jailbreak it. 0:28:42.92 –> 0:28:50.172 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Can we just light that up pretty easily or a project manager agent sounds super interesting? 0:29:14.162 –> 0:29:15.882 Nathan Lasnoski I was playing around with that a little bit. 0:29:16.482 –> 0:29:19.602 Nathan Lasnoski There’s some really interesting things are doing it like launch pre built agents. 0:29:19.602 –> 0:29:21.802 Nathan Lasnoski There’s also some industry agents that I’ll talk about later. 0:29:22.552 –> 0:29:32.632 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Let’s help them through the process of constructing that agent right within. 0:29:52.182 –> 0:29:54.862 Nathan Lasnoski Studio. So fascinating. 0:29:54.862 –> 0:30:2.822 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Don’t build things you don’t have to build. 0:30:26.742 –> 0:30:28.782 Nathan Lasnoski Someone else is gonna build it for you. 0:30:28.782 –> 0:30:31.62 Nathan Lasnoski Don’t build it, but if it’s a competitive advantage, build it. 0:30:31.462 –> 0:30:34.342 Nathan Lasnoski Because that’s what that’s what allows you to beat out your competitors. 0:30:34.942 –> 0:30:36.502 Nathan Lasnoski So there’s a lot of content on that. 0:30:36.502 –> 0:30:43.942 Nathan Lasnoski 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 Nathan Lasnoski OK, Phew. 0:30:45.782 –> 0:30:46.182 Nathan Lasnoski All right. 0:30:46.182 –> 0:30:50.542 Nathan Lasnoski We’ve got a lot more to go, agents and pirate, so. 0:30:51.772 –> 0:30:52.172 Nathan Lasnoski Keep with me. 0:30:52.172 –> 0:30:56.292 Nathan Lasnoski We’re forwarding now, continuing down the path of I built agents. I can do it. 0:30:56.292 –> 0:30:56.852 Nathan Lasnoski Self-service. 0:30:56.852 –> 0:30:58.452 Nathan Lasnoski Now we got power automate stuff. 0:30:58.772 –> 0:31:1.372 Nathan Lasnoski Man, there’s so many cool things in the power automate space. 0:31:1.572 –> 0:31:3.132 Nathan Lasnoski So power automate is about like. 0:31:4.212 –> 0:31:7.732 Nathan Lasnoski Leaning on actions, leaning on automations to do things. 0:31:7.732 –> 0:31:12.652 Nathan Lasnoski So here is an example of Dow’s invoicing agent. The intake and invoice. 0:31:12.652 –> 0:31:13.212 Nathan Lasnoski They read it. 0:31:13.212 –> 0:31:14.292 Nathan Lasnoski They read the content. 0:31:14.292 –> 0:31:15.212 Nathan Lasnoski They retrieve knowledge. 0:31:15.212 –> 0:31:19.12 Nathan Lasnoski They compose a report. They send out discrepancy emails where things are missing. 0:31:19.92 –> 0:31:23.812 Nathan Lasnoski 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 Nathan Lasnoski Look for how I can use an AI agent to perform those activities. 0:31:27.452 –> 0:31:29.652 Nathan Lasnoski So if I’m doing this thousands of times a year. 0:31:30.452 –> 0:31:33.492 Nathan Lasnoski Maybe I can have an AI agent perform that activity rather than a person. 0:31:34.522 –> 0:31:38.162 Nathan Lasnoski 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 Nathan Lasnoski Why this is useful is so much of this can all be done with low code. 0:31:43.362 –> 0:31:52.442 Nathan Lasnoski 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 Nathan Lasnoski We have to really think about like, where are we really invest our time. 0:31:55.802 –> 0:31:57.722 Nathan Lasnoski This is a great example of how that’s possible. 0:31:59.292 –> 0:32:0.812 Nathan Lasnoski So example of doing that. 0:32:2.492 –> 0:32:2.692 Nathan Lasnoski OK. 0:32:3.12 –> 0:32:7.212 Nathan Lasnoski 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 Nathan Lasnoski So copilot has an ability to record not only your screen, but the intention behind it. 0:32:14.42 –> 0:32:25.682 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Doing it like I would a legacy RPA tool, I’m going to describe it. 0:32:41.142 –> 0:33:2.462 Nathan Lasnoski 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 Nathan Lasnoski Allows for it to record it in a more capable way. 0:33:4.902 –> 0:33:5.982 Nathan Lasnoski So this is pretty cool. 0:33:6.772 –> 0:33:12.652 Nathan Lasnoski 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 Nathan Lasnoski In cloud automations with so take advantage of this man. 0:33:16.582 –> 0:33:17.782 Nathan Lasnoski This is gonna be really cool. 0:33:17.782 –> 0:33:21.822 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski So that’s a lot of fabric and power automate. 0:33:37.132 –> 0:33:43.532 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Now let’s do so in the data space. 0:33:52.532 –> 0:33:54.452 Nathan Lasnoski Fabric is about that, OK. 0:33:54.452 –> 0:33:57.492 Nathan Lasnoski So fabric is about how do we make that available. 0:33:57.892 –> 0:34:6.812 Nathan Lasnoski 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 Nathan Lasnoski Why? Why was Microsoft Brilliant in this? 0:34:9.332 –> 0:34:12.532 Nathan Lasnoski Because they made every power BI customer a fabric customer. So. 0:34:13.332 –> 0:34:15.372 Nathan Lasnoski Well over 16,000 people have taken. 0:34:15.982 –> 0:34:32.572 Nathan Lasnoski 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 Nathan Lasnoski Experience. Whoa. Like mind blown, right? 0:34:35.342 –> 0:34:41.822 Nathan Lasnoski 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 Nathan Lasnoski Yes, that’s the goal. So. 0:34:45.492 –> 0:34:51.92 Nathan Lasnoski Building on fabric, realize that it’s goal is to make data access accessible for everyone. 0:34:51.252 –> 0:35:5.12 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski And I’m not having to worry about anything exists underneath that. 0:35:13.812 –> 0:35:15.732 Nathan Lasnoski So fabric is not just data warehouse. 0:35:15.732 –> 0:35:17.332 Nathan Lasnoski Now fabric’s also about bringing in. 0:35:17.862 –> 0:35:20.262 Nathan Lasnoski Operational databases into its purview. 0:35:21.342 –> 0:35:34.332 Nathan Lasnoski 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 Nathan Lasnoski Within the context of the exploratory capabilities right within fabric, so. 0:35:40.532 –> 0:35:40.692 Nathan Lasnoski Like this? 0:35:40.772 –> 0:35:41.452 Nathan Lasnoski Take a screenshot of it. 0:35:41.852 –> 0:35:43.572 Nathan Lasnoski Happy to take some more time on this later. 0:35:43.572 –> 0:35:47.852 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski This wasn’t available before. 0:35:56.12 –> 0:36:2.572 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Now they have these these new lines within the sort of fabric one pager. 0:36:23.452 –> 0:36:25.132 Nathan Lasnoski What do they mean by industry solutions? 0:36:25.332 –> 0:36:43.172 Nathan Lasnoski 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 Nathan Lasnoski Is something that exists. 0:36:44.132 –> 0:36:47.172 Nathan Lasnoski We can have a solution in there that already does it, and if you have. 0:36:47.492 –> 0:37:0.132 Nathan Lasnoski 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 Nathan Lasnoski So something else that they announced in fabric is source control. 0:37:4.532 –> 0:37:18.932 Nathan Lasnoski 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 Nathan Lasnoski Day one thing. 0:37:21.422 –> 0:37:24.742 Nathan Lasnoski But now they’re enabling that to be something that’s within fabric as well. 0:37:26.72 –> 0:37:27.632 Nathan Lasnoski OK, database mirroring. 0:37:27.672 –> 0:37:29.592 Nathan Lasnoski Tons of new database mirroring features. 0:37:29.912 –> 0:37:30.992 Nathan Lasnoski Why is that meaningful? 0:37:31.72 –> 0:37:39.992 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Already was available. 0:37:53.92 –> 0:37:56.932 Nathan Lasnoski Increase the number of additional sources that are now at true GA. 0:37:57.772 –> 0:38:2.412 Nathan Lasnoski Snowflake Cosmos database, Azure SQL, DATABRICKS, et cetera. 0:38:5.442 –> 0:38:12.242 Nathan Lasnoski 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 Nathan Lasnoski So right here we have this idea around. 0:38:14.762 –> 0:38:17.122 Nathan Lasnoski I’m asking questions against an established schema. 0:38:17.122 –> 0:38:18.642 Nathan Lasnoski This came up this week in a project. 0:38:18.642 –> 0:38:22.282 Nathan Lasnoski We’re like, have this big data project, a lot of people need to move data. 0:38:22.282 –> 0:38:30.922 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Your data framework ahead of time. 0:38:37.942 –> 0:38:44.582 Nathan Lasnoski So they demoed this experience of looking at this information associated with the country of Italy. 0:38:44.942 –> 0:38:46.302 Nathan Lasnoski They did this for like a challenge. 0:38:46.302 –> 0:39:0.652 Nathan Lasnoski 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 Nathan Lasnoski Blank it out say. 0:39:3.52 –> 0:39:3.732 Nathan Lasnoski All right, cool. 0:39:3.732 –> 0:39:6.292 Nathan Lasnoski I want to see a view of the trends of GDP over time. 0:39:6.292 –> 0:39:7.292 Nathan Lasnoski They put this real time. 0:39:7.292 –> 0:39:9.132 Nathan Lasnoski This was like a pre recorded thing. 0:39:10.252 –> 0:39:11.212 Nathan Lasnoski They they did the. 0:39:11.822 –> 0:39:18.342 Nathan Lasnoski On the right hand side and then that GDP growth became a dashboard. 0:39:18.382 –> 0:39:21.582 Nathan Lasnoski That was then available for people to interact with, but then that wasn’t it. 0:39:21.662 –> 0:39:23.542 Nathan Lasnoski They started to ask other questions. 0:39:23.542 –> 0:39:24.982 Nathan Lasnoski So can you add in this? 0:39:24.982 –> 0:39:26.62 Nathan Lasnoski Can you adjust this? 0:39:26.62 –> 0:39:34.782 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski And then it started to think about ratios or life expectancy or? 0:39:52.252 –> 0:40:4.852 Nathan Lasnoski 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 Nathan Lasnoski Why was there more poverty here? 0:40:6.92 –> 0:40:7.172 Nathan Lasnoski Was less poverty here. 0:40:7.332 –> 0:40:9.892 Nathan Lasnoski It’s really about like how do I enable data exploration? 0:40:10.662 –> 0:40:18.342 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski So a lot happening here. 0:40:36.812 –> 0:40:41.532 Nathan Lasnoski OK, I’m going to blast through this, this NBA one, but this was really. 0:40:42.62 –> 0:40:47.382 Nathan Lasnoski Interesting. They did have a session with the National Basketball Association as a customer. 0:40:48.932 –> 0:40:59.812 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski OK. 0:41:19.812 –> 0:41:23.652 Nathan Lasnoski So continuing forward into the copilot plus AI stack. 0:41:25.432 –> 0:41:43.392 Nathan Lasnoski 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 Nathan Lasnoski AI tooling. 0:41:44.232 –> 0:41:47.32 Nathan Lasnoski So the main announcement was this idea of AI foundry. 0:41:47.32 –> 0:41:50.832 Nathan Lasnoski Now it’s it’s really a series of tools that existed before renamed. 0:41:51.612 –> 0:41:52.252 Nathan Lasnoski And boxed together. 0:41:52.532 –> 0:41:59.172 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Multiple models. 0:42:18.652 –> 0:42:21.292 Nathan Lasnoski Content safety all in the context of one platform. 0:42:21.292 –> 0:42:25.892 Nathan Lasnoski 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 Nathan Lasnoski It’s it’s whole goal is to facilitate that. 0:42:29.692 –> 0:42:33.892 Nathan Lasnoski And that allows access to things like open Ai’s most recent models or also. 0:42:34.422 –> 0:42:35.822 Nathan Lasnoski A whole cacophony of other models. 0:42:35.822 –> 0:42:39.862 Nathan Lasnoski There’s thousands of different other vendors in the catalog, so we always think about Openai. 0:42:40.52 –> 0:42:52.332 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski So this is an example of the catalog. You can go explore that look. 0:43:6.22 –> 0:43:9.382 Nathan Lasnoski There’s 18112 models available in the catalog. 0:43:9.382 –> 0:43:11.502 Nathan Lasnoski Like Holy Cow, there’s a lot of models available. 0:43:13.12 –> 0:43:15.652 Nathan Lasnoski It’s not just about Openingi, it’s about a variety of different things. 0:43:15.652 –> 0:43:20.52 Nathan Lasnoski 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 Nathan Lasnoski This is from a demo. 0:43:21.52 –> 0:43:23.292 Nathan Lasnoski I’m not going to go into this more. This is another demo. 0:43:23.932 –> 0:43:28.572 Nathan Lasnoski 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 Nathan Lasnoski And they built this real time. 0:43:30.12 –> 0:43:31.92 Nathan Lasnoski I thought that was really interesting. 0:43:31.92 –> 0:43:32.612 Nathan Lasnoski Seth Juarez was doing that. 0:43:32.612 –> 0:43:47.132 Nathan Lasnoski 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 Nathan Lasnoski So there’s a lot about that here. 0:43:49.212 –> 0:43:54.692 Nathan Lasnoski 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 Nathan Lasnoski OK. They also announced the AI agent service. 0:43:58.902 –> 0:44:0.342 Nathan Lasnoski What is the AI agent service? 0:44:0.582 –> 0:44:4.662 Nathan Lasnoski It’s a simplification of how to build and scale AI agents. 0:44:5.102 –> 0:44:19.942 Nathan Lasnoski 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 Nathan Lasnoski True product engineering around AI agents in the context of. 0:44:24.732 –> 0:44:25.412 Nathan Lasnoski Azure’s. 0:44:26.272 –> 0:44:31.912 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Copilot studio ecosystem. 0:44:53.52 –> 0:44:58.372 Nathan Lasnoski All this then becomes available for people building and constructing related AI agent ecosystems. 0:44:58.682 –> 0:45:3.362 Nathan Lasnoski 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 Nathan Lasnoski So super cool. 0:45:5.812 –> 0:45:7.692 Nathan Lasnoski Especially if you’re building things from the ground up. 0:45:9.212 –> 0:45:25.532 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski You’re going to export it this way. 0:45:39.852 –> 0:45:41.572 Nathan Lasnoski So this is the transcript. 0:45:41.652 –> 0:45:47.772 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Lots of new capabilities on risk and safety evaluations. 0:46:17.952 –> 0:46:20.232 Nathan Lasnoski I would highly recommend the session by Sarah Byrd. 0:46:20.652 –> 0:46:25.172 Nathan Lasnoski Sarah Bird talked a lot about all the capabilities of Microsoft’s building on AI safety. 0:46:25.172 –> 0:46:28.412 Nathan Lasnoski So if you wanna deep dive into that, spend some time on Sarah Bird session. 0:46:28.412 –> 0:46:29.572 Nathan Lasnoski I think you’ll find it really valuable. 0:46:31.202 –> 0:46:39.522 Nathan Lasnoski 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 Nathan Lasnoski Lots of capabilities announced around GitHub, so there’s several good sessions around. 0:46:45.802 –> 0:46:47.962 Nathan Lasnoski How do I build a secure dev OPS lifecycle? 0:46:47.962 –> 0:46:49.322 Nathan Lasnoski I’ve got a bunch of hidden content. 0:46:49.322 –> 0:47:1.122 Nathan Lasnoski 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 Nathan Lasnoski Minimize each of these pieces. 0:47:3.992 –> 0:47:6.312 Nathan Lasnoski One interesting thing they talked about was copilot autofix. 0:47:6.312 –> 0:47:15.752 Nathan Lasnoski 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 Nathan Lasnoski It aligns with GitHub advanced Security as well. 0:47:18.592 –> 0:47:21.712 Nathan Lasnoski So one of the things that’s really exciting about this is there’s. 0:47:23.752 –> 0:47:30.592 Nathan Lasnoski The copilot of GitHub can index essentially your code repositories and then look for those. 0:47:32.92 –> 0:47:37.652 Nathan Lasnoski Baseline problems across your code repositories and then recommend fixes to those problems. 0:47:37.772 –> 0:47:39.972 Nathan Lasnoski So what a great capability for us, right? 0:47:40.12 –> 0:47:54.872 Nathan Lasnoski 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 Nathan Lasnoski Be remediated so. 0:47:56.352 –> 0:47:56.992 Nathan Lasnoski This is pretty cool. 0:47:57.32 –> 0:48:0.592 Nathan Lasnoski 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 Nathan Lasnoski Certainly additional ingestion of defender in cloud. 0:48:5.622 –> 0:48:12.462 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski So this was something that I always wonder about. 0:48:32.642 –> 0:48:34.882 Nathan Lasnoski I’m always curious about like, you’ve got two things. 0:48:34.882 –> 0:48:36.442 Nathan Lasnoski How are you integrating these together? 0:48:37.82 –> 0:48:42.522 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski How do those integrating together? 0:49:1.72 –> 0:49:3.352 Nathan Lasnoski This is a good space for you to learn more about that. 0:49:5.2 –> 0:49:5.522 Nathan Lasnoski OK. 0:49:5.522 –> 0:49:7.442 Nathan Lasnoski Now we’re getting into some really wild stuff. 0:49:8.992 –> 0:49:14.512 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 2 quantum computing that brings in to summarize this very quickly brings in. 0:49:44.552 –> 0:49:57.752 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Why is that important? 0:50:7.932 –> 0:50:15.52 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Super fast. 0:50:41.602 –> 0:50:49.722 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski There’s one launching in my backyard in pleasant Prairie, right? 0:51:8.672 –> 0:51:10.592 Nathan Lasnoski Like it’s it is all over the place. 0:51:10.592 –> 0:51:16.992 Nathan Lasnoski 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 Nathan Lasnoski Associating in supporting that capacity. 0:51:19.472 –> 0:51:22.32 Nathan Lasnoski One of the things they talked about at Ignite. 0:51:22.722 –> 0:51:33.882 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Supports all platforms, including something they announced called Azure Local Azure Local is. 0:51:54.252 –> 0:52:1.132 Nathan Lasnoski 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 Nathan Lasnoski Like, what do you mean the Azure stack? 0:52:2.332 –> 0:52:5.252 Nathan Lasnoski Like, yeah, like you mean the thing that’s local to the data center. 0:52:5.252 –> 0:52:8.252 Nathan Lasnoski No, that’s the answer is like like it’s just it was a stupid name. 0:52:8.452 –> 0:52:18.612 Nathan Lasnoski 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 Nathan Lasnoski So Azure, that’s what Azure local is. 0:52:21.552 –> 0:52:25.432 Nathan Lasnoski For both of those, you have access to tools like Azure Update management. 0:52:25.432 –> 0:52:27.312 Nathan Lasnoski Why should you care about this? Because. 0:52:28.192 –> 0:52:37.672 Nathan Lasnoski 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 Nathan Lasnoski I should be using things like Azure Update manager now. 0:52:40.312 –> 0:52:51.232 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski So let me show you that I’m just jumping ahead here. 0:53:3.272 –> 0:53:3.912 Nathan Lasnoski There it is. OK. 0:53:4.192 –> 0:53:12.672 Nathan Lasnoski So this is the Azure benefits now available to every organization that has licensed software assurance. 0:53:12.672 –> 0:53:18.552 Nathan Lasnoski So update manager, change tracking machine configuration, remote support. 0:53:20.192 –> 0:53:24.792 Nathan Lasnoski Site recovery configuration. All these things become available to every machine in your fleet. 0:53:24.792 –> 0:53:26.832 Nathan Lasnoski So why is this worthwhile? 0:53:26.832 –> 0:53:30.792 Nathan Lasnoski Because you need to move away from using configuration manager in the first place. 0:53:31.612 –> 0:53:38.772 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Some of the other things they have in the management space. 0:53:57.192 –> 0:54:1.192 Nathan Lasnoski One of those is just like around migration and modernization and cost management. 0:54:1.782 –> 0:54:3.662 Nathan Lasnoski Lots of cool things that happen there. 0:54:4.22 –> 0:54:5.62 Nathan Lasnoski Very very useful. 0:54:5.62 –> 0:54:6.902 Nathan Lasnoski Very meaningful conversations. 0:54:7.182 –> 0:54:12.262 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski How do I get them connected? 0:54:53.762 –> 0:55:1.562 Nathan Lasnoski 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 Nathan Lasnoski Manufacturing the system or the the OT environment as we were talking about or. 0:55:8.552 –> 0:55:11.672 Nathan Lasnoski The products I sold to my end customers as a product. 0:55:13.312 –> 0:55:17.152 Nathan Lasnoski All that being something I can manage in the context of Azure, OK. 0:55:17.152 –> 0:55:22.32 Nathan Lasnoski Last topic, windows. Holy smokes, you might actually do this, so windows. 0:55:22.112 –> 0:55:23.592 Nathan Lasnoski So what is happening with Windows? 0:55:23.992 –> 0:55:27.912 Nathan Lasnoski They release something called cloud PC, Windows 365 a little while ago. 0:55:27.912 –> 0:55:28.832 Nathan Lasnoski They’re calling cloud PC. 0:55:28.832 –> 0:55:31.272 Nathan Lasnoski They even showed like this little. 0:55:31.842 –> 0:55:35.602 Nathan Lasnoski 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 Nathan Lasnoski OK. 0:55:35.802 –> 0:55:39.762 Nathan Lasnoski It was like super small and it’s like basically a remote PC, right? 0:55:39.762 –> 0:55:44.562 Nathan Lasnoski 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 Nathan Lasnoski There’s nothing on a laptop. 0:55:45.722 –> 0:55:48.2 Nathan Lasnoski It’s all Windows 365 off in the other world. 0:55:48.2 –> 0:55:50.962 Nathan Lasnoski Like, well, like, yeah, cool. We’ve been doing that forever with, like Citrix and stuff. 0:55:51.282 –> 0:55:58.562 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Like what that look like? The conditional access controls are just as capable. 0:56:16.42 –> 0:56:17.842 Nathan Lasnoski That is there with anything else I thought. 0:56:17.842 –> 0:56:22.162 Nathan Lasnoski Some interesting policy snapshots associated with being able to apply that via Intune. 0:56:22.242 –> 0:56:27.522 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski And they did talk a lot about Autopilot deploying with with Intune. 0:56:42.602 –> 0:56:47.562 Nathan Lasnoski 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 Nathan Lasnoski I’d be happy to walk you through how to make that transition. 0:56:49.882 –> 0:56:53.762 Nathan Lasnoski This is an important reminder for now’s the time. Go make that change. 0:56:55.522 –> 0:56:57.202 Nathan Lasnoski Oh shoot, I forgot I have one more topic. 0:56:58.122 –> 0:57:0.602 Nathan Lasnoski Identity and security. OK, so. 0:57:1.352 –> 0:57:5.912 Nathan Lasnoski Intra man, I hate that name, but they did change the name to intra. 0:57:5.912 –> 0:57:14.432 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Any employee, any location, any platform, any device accessing a variety of different things. 0:57:31.772 –> 0:57:43.412 Nathan Lasnoski 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 Nathan Lasnoski They spent time talking about enter for employee access. 0:57:47.12 –> 0:57:54.572 Nathan Lasnoski 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 Nathan Lasnoski So definitely take a. 0:57:56.212 –> 0:57:59.892 Nathan Lasnoski Take a double click into the things that they’re talking about regarding the interest suite. 0:58:1.102 –> 0:58:2.862 Nathan Lasnoski OK, then I’m gonna cover any of this stuff. 0:58:3.62 –> 0:58:10.782 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Or radius or draszy like stuff that like. 0:58:32.932 –> 0:58:34.652 Nathan Lasnoski Their ears are just hitting the wild. 0:58:34.812 –> 0:58:38.132 Nathan Lasnoski Or it’s things like radius that are like in sammet. 0:58:38.132 –> 0:58:39.812 Nathan Lasnoski They’re just talking about it. 0:58:39.812 –> 0:58:41.332 Nathan Lasnoski They’re getting it out there. 0:58:41.652 –> 0:58:49.772 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Watch Microsoft’s session. 0:59:0.402 –> 0:59:2.122 Nathan Lasnoski I put a bunch of like slides of that in here. 0:59:2.122 –> 0:59:4.722 Nathan Lasnoski 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 Nathan Lasnoski You talked about confidential AI, which is fascinating. 0:59:8.812 –> 0:59:17.132 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Remote storage and Azure container instances, standby pools and this idea of front door edge actions. 0:59:38.492 –> 0:59:43.932 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski Hopefully this was interesting. 0:59:50.172 –> 0:59:51.932 Nathan Lasnoski It sure was interesting for me to put together. 0:59:53.482 –> 0:59:53.522 Nathan Lasnoski A. 0:59:53.522 –> 0:59:56.802 Nathan Lasnoski Get a copy of the deck. I spent a lot of time putting this together. 0:59:56.802 –> 1:0:2.762 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski We’re all in. 1:0:16.402 –> 1:0:27.882 Nathan Lasnoski 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 Nathan Lasnoski And we’ll cover the whole thing usually. But like it is available. 1:0:32.322 –> 1:0:33.922 Nathan Lasnoski So let’s take advantage of it. 1:0:33.922 –> 1:0:39.242 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski 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 Nathan Lasnoski There are programs that help support that deployment. 1:0:53.882 –> 1:0:54.722 Nathan Lasnoski Let’s talk about them. 1:0:55.202 –> 1:0:59.482 Nathan Lasnoski Let’s talk about our offering to help accelerate that and make that real. So cool. 1:1:1.122 –> 1:1:2.522 Nathan Lasnoski We almost stay within our 12. 1:1:2.522 –> 1:1:3.202 Nathan Lasnoski It’s 1201. 1:1:3.202 –> 1:1:4.242 Nathan Lasnoski Thank you everyone. 1:1:4.362 –> 1:1:8.162 Nathan Lasnoski What a great opportunity for us to talk about some interesting things. 1:1:8.522 –> 1:1:16.842 Nathan Lasnoski 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 Nathan Lasnoski So let’s get some time. 1:1:18.202 –> 1:1:19.722 Nathan Lasnoski Let’s talk about it and have an awesome day.