View Recording: Getting Started with M365 Copilot

0:1:47.860 –> 0:1:53.730 Chris Blackburn Welcome everyone to another exciting webinar on Microsoft 365. 0:1:53.740 –> 0:1:54.550 Chris Blackburn Copilot. 0:1:54.560 –> 0:2:10.530 Chris Blackburn I’m joined today by our CTO Nathan Lasnoski, who will help me in diving into some of the specifics that really cover AI in the workplace that you wanna be thinking about as you look to roll out copilot. 0:2:10.760 –> 0:2:12.690 Chris Blackburn I’m my name is Chris Blackburn. 0:2:12.700 –> 0:2:25.320 Chris Blackburn If you’ve been on some my webinars or to some other presentations I’m not unfamiliar face, but for those of you that are joining us for the first time, I’ve been here concurrency for eight years. 0:2:25.330 –> 0:2:27.800 Chris Blackburn I’ve been in Microsoft Consulting for 20. 0:2:28.70 –> 0:2:29.640 Chris Blackburn This is my first year. 0:2:29.650 –> 0:2:39.480 Chris Blackburn It just started as a member of the board on the Microsoft, the Minnesota Microsoft 365 User Group, which is one of the biggest in the country. 0:2:39.610 –> 0:2:52.790 Chris Blackburn So excited to to have you all join us here as well as some of those user group meetings, father of three been in the architect and delivery space on Microsoft 365 for probably almost a decade. 0:2:52.800 –> 0:3:1.540 Chris Blackburn It’s hard to believe that Office 365 has been kind of game time for the last 10 years. 0:3:1.670 –> 0:3:9.260 Chris Blackburn And then when I’m not behind the keyboard, I actually travel the world as a DJ and I love food as well. 0:3:9.270 –> 0:3:14.380 Chris Blackburn So you usually like to incorporate some of those into some of my presentations as well. 0:3:14.390 –> 0:3:16.660 Chris Blackburn So thanks for joining us today. 0:3:17.130 –> 0:3:27.670 Chris Blackburn As we look to dive into today’s presentation, really the concepts that are forced and foremost around AI is that everyone deserves to use it. 0:3:28.160 –> 0:3:40.590 Chris Blackburn As we look at the Microsoft domains in side of their products, really they have separated AI and copilot into these six core areas. 0:3:40.600 –> 0:3:46.350 Chris Blackburn And so I want you to be thinking about those core areas and how those really touch your Business Today. 0:3:46.480 –> 0:4:7.860 Chris Blackburn And you thinking about are you leveraging the full power of the Microsoft 365 stack today within each of these areas, if you’re an E3 or E5 customer, there’s probably a chance there may be some features that you, you may or may not be using or there may be some features that you are planning to use as part of enterprise agreement or licensing. 0:4:7.990 –> 0:4:30.810 Chris Blackburn And so we wanna be thinking about those as we talk about AI and how some of those features can really empower your users to do more and allow your users to take tasks that they do on an everyday basis and free that time up from them and take that burning off of them and let AI help them do some of that work and and help them be a little more efficient. 0:4:31.360 –> 0:5:8.20 Chris Blackburn And as part of looking at that AI story, Microsoft and and US concurrency as a Microsoft partner, as we work with customers like you have recognized that there are efficiencies that can be gained by applying AI all the way out through the Microsoft product stack and even looking at plugins, which we’ll talk about a little bit and some of those solutions that can then take some of your business use cases even outside of just normal Office 365 and Microsoft 365 copilot and make your organization more efficient. 0:5:8.160 –> 0:5:37.680 Chris Blackburn So that’s where we wanna spend a lot of our time today outside of looking at what’s new and cool in the world of Microsoft 365 copilot and get you to be thinking about how you can take commodity and custom AI, which will revisit here and kind of that definition here in a moment to everyone in your organization to all the business personas and really build out that concept of a Coe or a center of excellence. 0:5:37.690 –> 0:5:42.630 Chris Blackburn So we’ll talk about that a little bit more here in this presentation as well. 0:5:42.900 –> 0:5:48.750 Chris Blackburn And so as we look at those uses of AI, let’s talk about what’s new with copilot. 0:5:48.760 –> 0:5:50.590 Chris Blackburn As of this Monday. 0:5:50.600 –> 0:5:54.150 Chris Blackburn So it’s been a really exciting week in the Microsoft world. 0:5:54.280 –> 0:6:0.170 Chris Blackburn Microsoft has dropped the limits for getting copilot that one seed minimum. 0:6:0.180 –> 0:6:9.450 Chris Blackburn Really all it is, and even myself as I’ve gone into my own freetail tenant, I’ve been able to turn that on within my tenant. 0:6:9.460 –> 0:6:11.670 Chris Blackburn And so now that’s available to anyone. 0:6:11.680 –> 0:6:22.830 Chris Blackburn You can work through your volume license channels if you’re using a CSP, or even if you’re buying your licenses straight from Microsoft themselves. 0:6:23.40 –> 0:6:38.220 Chris Blackburn You can go and purchase that capability right now and as part of that, Microsoft has really kind of done away with the need to go in and enable semantic indexing or even control the semantic indexing. 0:6:38.330 –> 0:6:45.100 Chris Blackburn All of that is occurring natively as soon as you get copilot as part of your licensing. 0:6:45.110 –> 0:6:48.860 Chris Blackburn As soon as you turn on that licensing, you’re gonna have that available to you. 0:6:48.870 –> 0:6:50.100 Chris Blackburn So what does that look like? 0:6:50.230 –> 0:6:55.620 Chris Blackburn Let me take you on the journey that I went down and enabling copilot within my environment. 0:6:56.10 –> 0:7:0.260 Chris Blackburn First, I want to talk about kind of what you can get from a licensing perspective. 0:7:0.330 –> 0:7:24.910 Chris Blackburn A really touch on these just super quick because I think a lot of us have heard the story how Microsoft has rebranded being cold, being chat enterprise and really made it this copilot for Microsoft 365, you can go to copilot.microsoft.com right now and use that same GPT level 4 functionality for free and be able to generate documents or generate text, generate graphics. 0:7:25.40 –> 0:7:30.330 Chris Blackburn It’s really cool tool that will then build the foundation on your being able to. 0:7:30.340 –> 0:7:39.310 Chris Blackburn Then once you license Microsoft 360, copilot really take it to that next level to where then your tenant has some of that priority access. 0:7:39.320 –> 0:7:43.620 Chris Blackburn You can then use copilot in the web or in your office applications. 0:7:43.710 –> 0:7:49.280 Chris Blackburn It’s then once you start to then look at that Microsoft copilot for the copilot. 0:7:49.290 –> 0:7:56.550 Chris Blackburn For Microsoft 365, that enterprise copilot SKU, you really then start to enable it and then tools like teams. 0:7:56.600 –> 0:8:5.40 Chris Blackburn You get some of that enterprise grade data protection and being able to use tools like the copilot studio to do some customization within that space. 0:8:5.50 –> 0:8:11.500 Chris Blackburn So from a licensing perspective, those are your options as you then go into purchase some of those licenses. 0:8:11.890 –> 0:8:38.370 Chris Blackburn From my perspective, when I was able to enable it and then you’ll probably see it from a CSP and enterprise perspective, having that one seat minimum, you do have to agree to a one year commitment and you also have to set up a new billing agreement inside of your Microsoft 365 account so that that is allowing Microsoft to then build for each of those licenses at a one year at a time rate. 0:8:38.480 –> 0:9:10.140 Chris Blackburn And then once you have that set up and you then have your first copilot licenses inside of your tenant, if you go then and look at what services are enabled as part of the copilot license, you can see these are all included within the copilot for enterprise, the Microsoft 365 being able to enable it inside of your productivity apps, you then have that chat capability which is similar to what we see with the copilot.microsoft.com. 0:9:10.150 –> 0:9:21.60 Chris Blackburn It’s then really at office.com chat and then that capability gives you something that you don’t see within the copilot for Microsoft. 0:9:21.70 –> 0:9:30.250 Chris Blackburn And that’s really the capability to reaccess a lot of those save chats and conversations and to continue that was after you have initiated them. 0:9:30.260 –> 0:9:32.290 Chris Blackburn So that’s where the chat comes into play. 0:9:32.380 –> 0:9:43.790 Chris Blackburn And then some of the additional integrations, so the intelligence search really is that semantic index enabling and then the graph connectors and the power platform connectors that enables you to do more with the copilot tool. 0:9:43.800 –> 0:9:47.50 Chris Blackburn So really exciting to be able to jump in, purchase copilot. 0:9:47.60 –> 0:9:50.110 Chris Blackburn Once that is done, you can send a nice little message. 0:9:50.120 –> 0:10:3.860 Chris Blackburn Microsoft built that into the tooling from Anna licensing perspective that you can let your users know the ones that have been really excited to get copilot, but they finally have that capability in their hands from an admin perspective. 0:10:3.950 –> 0:10:14.200 Chris Blackburn You’ll then now see a new blade inside of the admin center, so some of the capabilities that you’ll see within here more or less are informational. 0:10:14.210 –> 0:10:19.800 Chris Blackburn So for example, the copilot for Bing is just letting you know about commercial data protection. 0:10:20.470 –> 0:10:29.710 Chris Blackburn Same thing with looking at some of the security copilot, which that is still in a private preview, so you won’t be able to access anything within that portal just yet. 0:10:30.60 –> 0:10:36.410 Chris Blackburn But being able to do things like enable and disable the grounding from public web content. 0:10:36.420 –> 0:11:5.600 Chris Blackburn If you just wanted to allow your end users to create documents and content based off of information that’s inside of your tenant and not your tenant plus any public information you have that ability to control that at a tenant level and then being able to control plugins, that’s actually at generally available across your tenant to be able to add those plugins into the office apps and then be able to integrate those into copilot as well. 0:11:5.700 –> 0:11:28.430 Chris Blackburn And then the big one, I think you know we’ll touch a little bit here within this presentation is kind of that concept of data security and compliance that really does build you out into that Microsoft story around purview and some data compliance and being able to build out some of those tool sets to ensure that your data is secure and that your data is protected within your environment as you’re users start to leverage copilot themselves. 0:11:28.960 –> 0:11:34.30 Chris Blackburn So from an admin perspective, that’s what you’ll see from an end user perspective. 0:11:34.100 –> 0:11:37.840 Chris Blackburn Your users will then be able to go to office.com. 0:11:37.850 –> 0:11:42.230 Chris Blackburn They’ll be able to see this copilot icon, and they’ll be able to do these searches. 0:11:42.370 –> 0:11:44.230 Chris Blackburn This very similar to copilot for. 0:11:45.660 –> 0:11:57.850 Chris Blackburn Microsoft and being able to see some of their searches after they go in and and do some of that capability, they go in and create a search they want to generate a document based off of information. 0:11:58.360 –> 0:12:1.360 Chris Blackburn It then goes and it gives you the ability to look at some of your. 0:12:1.640 –> 0:12:14.20 Chris Blackburn I was freezing conversations, emails, documents that you used to be able to use this chat capability as a springboard to be able to go and create some of those searches. 0:12:14.30 –> 0:12:26.980 Chris Blackburn And just to remind that everyone that the public version, you can still do some of these same searches, you just can’t reference your own tenants information and you don’t have this saved chat capabilities. 0:12:26.990 –> 0:12:34.250 Chris Blackburn So that is another big added value of the Microsoft 365 copilot integration into your environment. 0:12:35.100 –> 0:12:47.890 Chris Blackburn And so as as users are starting to use copilot, you know some of the questions that we’ve gotten asked is really, how is that capability of users being able to find their data? 0:12:48.30 –> 0:12:56.130 Chris Blackburn And then we reminded that customers of the underlying component really that drives copilot, is that semantic index. 0:12:56.140 –> 0:12:59.70 Chris Blackburn And So what makes the semantic difference? 0:12:59.110 –> 0:13:10.380 Chris Blackburn Semantic index different than a traditional keyword index is that it creates this multidimensional space of data points and cluster those within a vector space. 0:13:10.390 –> 0:13:17.550 Chris Blackburn So you know, as you can see in this very tiny little diagram, which unfortunately can’t zoom in too much on that particular one. 0:13:17.690 –> 0:13:29.840 Chris Blackburn So yeah, you can see there’s all these little words that are within this index cluster and then what it does is it creates those within their same multidimensional space. 0:13:29.850 –> 0:13:31.690 Chris Blackburn So that’s how that indexing works. 0:13:32.520 –> 0:13:46.190 Chris Blackburn And as we look at indexing from the perspective of how it applies to your Microsoft 365 environment, here is a list of all of the data that it does and does not crawl. 0:13:46.200 –> 0:13:51.390 Chris Blackburn So looking at user level data, I can look at my data in my mailbox. 0:13:51.400 –> 0:13:53.70 Chris Blackburn I can look at my documents. 0:13:53.220 –> 0:13:58.250 Chris Blackburn I can look at my any web pages that I might have access to, OneNote, it’s etcetera. 0:13:58.340 –> 0:14:10.560 Chris Blackburn All these are considered grounding for copilot searches and then if we wanna supplement that with web grounding, we have the ability to control whether or not that’s turned on and turned off from the tenant perspective. 0:14:10.670 –> 0:14:23.400 Chris Blackburn It does add a little bit from the Archive SharePoint data perspective to be able to find that data, but one thing to be able to call out is if I’m trying to look at data that’s in any of my shared mailboxes. 0:14:23.410 –> 0:14:29.60 Chris Blackburn Any delegated mailboxes, so that’s a mailbox that you can look at and access and archive mail data. 0:14:29.70 –> 0:14:30.640 Chris Blackburn So that’s archive mailboxes. 0:14:30.770 –> 0:14:38.390 Chris Blackburn Those are content types that are not index of the semantic index, so in most cases it’s active data. 0:14:38.400 –> 0:14:40.570 Chris Blackburn It’s data that you have access to. 0:14:40.640 –> 0:14:52.190 Chris Blackburn That’s the glory of copilot, is it can look at anything within the space of data that you have access to and gives you the ability to control if it’s data that’s in a team site or a SharePoint site. 0:14:52.280 –> 0:14:59.470 Chris Blackburn If individuals can access that a lot of that’s done through things like purview labeling and information protection as well. 0:15:0.60 –> 0:15:9.630 Chris Blackburn And so from the perspective of the semantic index, one thing to keep in mind from an enablement perspective, it’s automatically enabled. 0:15:9.850 –> 0:15:12.140 Chris Blackburn You can go and you can look at specific users. 0:15:12.150 –> 0:15:24.160 Chris Blackburn You can go into the search and intelligent page to be able to look at some of that, but then from the perspective of looking at an order of priority is probably the best way to put it. 0:15:24.270 –> 0:15:29.950 Chris Blackburn Tenant level enablement for tenants over 300, they’re gonna get priority number one priority. 0:15:29.960 –> 0:15:34.280 Chris Blackburn #2 is going to be your chats priority. 0:15:34.290 –> 0:15:53.70 Chris Blackburn #3 is going to be really that user level enablement and then based on if a 300 level 300 user organization is enabling copilot over a Business Standard premium, that organization is going to get precedence over the smaller ones. 0:15:53.260 –> 0:16:4.410 Chris Blackburn So just to let you know, from the perspective of how it’s going and crawling your content there, that will give you a little bit of detail around that capability. 0:16:4.540 –> 0:16:20.800 Chris Blackburn However, just to call out as a disclaimer, Microsoft, if you can’t open a ticket to ask when your tenant is going to be crawled, because I guarantee you after the the release this week, there’s probably quite a bit of backlog of tenants whose data is being crawled. 0:16:20.870 –> 0:16:36.260 Chris Blackburn I even ran into that myself today as I was trying to create a sample search of a document that I knew it had access to, but because it hadn’t crawled it yet, it said it couldn’t provide any results on it, so that was just an example of some of the data that it has to go through and create. 0:16:36.330 –> 0:16:46.750 Chris Blackburn Some of those indexes on within the environment before it’s ready for use, so lots of exciting things happening this week in that space, technical enablement. 0:16:46.820 –> 0:16:50.770 Chris Blackburn But we really wanna spend a few minutes to talk about something more than that. 0:16:50.780 –> 0:16:51.570 Chris Blackburn It’s readiness. 0:16:51.580 –> 0:16:56.310 Chris Blackburn There’s a lot that goes into readiness when it comes to AI and your environment. 0:16:56.780 –> 0:17:10.760 Chris Blackburn For to talk a little bit about how we’ve engaged with customers, I want to handle the microphone over to Nathan to kind of talk a little bit about the AI org maturity curve that we’ve I’ve been discussing what the number of our customers. 0:17:11.990 –> 0:17:12.290 Nathan Lasnoski Sure. 0:17:12.300 –> 0:17:12.940 Nathan Lasnoski Thanks, Chris. 0:17:14.10 –> 0:17:32.480 Nathan Lasnoski I think one of the most important things to think about in the context of AI is that it’s a journey and you’re on that journey and you start off with some big ideas and you start off with this mission that you have the opportunity to be able to accomplish and the best companies are the ones that step back and think about that in the context of the organization. 0:17:32.490 –> 0:17:47.230 Nathan Lasnoski They kind of look at it just incrementally, but we’ve also found is that many organizations are somewhere on a maturity curve at any given point and sometimes you may even be at different points, multiple points in the maturity curve based upon separate business units within your organization. 0:17:47.500 –> 0:17:52.350 Nathan Lasnoski So where a lot of companies start is they’re doing a lot of traditional analytics. 0:17:52.400 –> 0:17:55.590 Nathan Lasnoski They’re exporting content from existing sources. 0:17:55.800 –> 0:17:57.570 Nathan Lasnoski They’re in the context of copilot. 0:17:57.580 –> 0:17:58.30 Nathan Lasnoski They’re right. 0:17:58.90 –> 0:17:59.720 Nathan Lasnoski Making their own, they’re in their own emails. 0:17:59.730 –> 0:18:1.190 Nathan Lasnoski They’re making their own PowerPoints. 0:18:1.440 –> 0:18:12.410 Nathan Lasnoski They’re producing content manually in the context of analytics that are exporting it to excel, and they’re they’re taking something that’s live data and turning it into static data that they’re making decisions around. 0:18:12.800 –> 0:18:28.700 Nathan Lasnoski What we find is that companies, as they’re getting into the AI space both in the commodity lane and in what we call the mission driven lane, is they have to identify where the value driven use cases so they can measure them and validate that they’re getting the returns that they expect. 0:18:28.810 –> 0:18:36.200 Nathan Lasnoski So many organizations, they’re starting with understanding what initial use cases and initial teams are to be able to prove out the value. 0:18:36.210 –> 0:18:38.0 Nathan Lasnoski So we see that in the copilot spaces. 0:18:38.10 –> 0:18:39.360 Nathan Lasnoski Like who are the 300? 0:18:39.370 –> 0:18:40.460 Nathan Lasnoski Who are those Spartans? 0:18:40.700 –> 0:18:43.620 Nathan Lasnoski Who are getting the 1st 300 licenses now? 0:18:43.630 –> 0:18:44.150 Nathan Lasnoski Let’s change. 0:18:44.160 –> 0:18:49.50 Nathan Lasnoski You could just be who are the first five and we want those five people or there’s ten people. 0:18:49.60 –> 0:19:4.530 Nathan Lasnoski There’s 300 people to be successful as they build momentum through the organization in the context of custom AI efforts, it’s we want that first initial AI use case to prove value, or at least show that it was capable of doing what we talked about it doing. 0:19:4.600 –> 0:19:11.190 Nathan Lasnoski That gives the momentum to achieve other AI use cases that gets partnered with something around governance and enablement. 0:19:11.200 –> 0:19:20.520 Nathan Lasnoski So organizations, in order to be successful at this need, two parts of this, they need governance around the data to ensure that the right people have access to the right data. 0:19:20.530 –> 0:19:27.940 Nathan Lasnoski So when it is indexed by semantic index, it’s made available to the right individuals, and then also there’s an enablement function. 0:19:28.50 –> 0:19:32.100 Nathan Lasnoski Every individual in your organization has the opportunity to be more with AI. 0:19:32.510 –> 0:19:43.660 Nathan Lasnoski We need to ensure that they have the right skills necessary to leverage that AI capability to be able to be more, and that doesn’t always happen just by accident or automatically for an individual. 0:19:43.670 –> 0:19:52.590 Nathan Lasnoski They’ve been doing a job for the last 10 years that they do at your organization and a lot of their sort of personal equities built up into that function that they perform. 0:19:52.700 –> 0:20:2.950 Nathan Lasnoski You may be asking them to do something new in the future, but that may not come naturally as a transition point, so the human transition of AI is really important as part of that enablement story. 0:20:4.210 –> 0:20:21.140 Nathan Lasnoski As you get past that, you earn the right to scale that you earn the right to scale copilot across the whole organization, and you earn the right to scale AI efforts inside the organization that are driven that are mission driven opportunities in that gets paired to what is a scaled pattern. 0:20:21.150 –> 0:20:36.320 Nathan Lasnoski So as I am scaling out copilot, what is my scaled enablement function look like as I am scaling out mission driven opportunities, what does the building of custom plugins for copilot or custom AI supply chain models look like? 0:20:36.330 –> 0:20:39.780 Nathan Lasnoski How many chat bots am I building and are they all the same or are they separate chat bots? 0:20:39.790 –> 0:20:43.460 Nathan Lasnoski How they talk to each other, all of that goes into scaled patterns. 0:20:43.650 –> 0:20:49.140 Nathan Lasnoski So the growing of the organization and the AI space is really about what does adoption look like at scale? 0:20:49.210 –> 0:21:19.150 Nathan Lasnoski And then at this top lane, you can see AI as a research domain, and this is where you start leveraging AI, not just to solve specific ROI driven use cases or to achieve acceleration of commodity use cases, but you start using it as a way to be able to accelerate where you’re going to go in the future and to discover where you gonna go in the future scenario modeling, researching your product mix, what should I be doing in the future enabling your research teams to be more and for some of us that’s like a long way off. 0:21:19.200 –> 0:21:27.440 Nathan Lasnoski But many organizations are doing that today, so this represents where your organization can be, and you’re probably somewhere on this curve right now. 0:21:27.910 –> 0:21:32.130 Nathan Lasnoski So we moved to the next diagram. 0:21:32.300 –> 0:21:38.450 Nathan Lasnoski What we’re gonna see is that there’s essentially 2 lanes that are coupled to this human centric AI idea. 0:21:38.540 –> 0:21:41.910 Nathan Lasnoski So at the top lane, you see this mission driven factory. 0:21:41.920 –> 0:21:54.510 Nathan Lasnoski This idea of selecting custom use cases that may plug into copilot, they might not plug into copilot that are centric to driving new revenue or operational savings that it’s a competitive advantage for your business. 0:21:54.740 –> 0:21:55.270 Nathan Lasnoski It’s. 0:21:55.340 –> 0:22:1.370 Nathan Lasnoski I’m gonna build a supply chain optimization model that allows me to optimize how much inventory I have in any given point. 0:22:1.620 –> 0:22:24.790 Nathan Lasnoski That’s not so much as a copilot use case as much as maybe copilot could be used to ask questions of it below that exists the commodity lane and the commodity lane is really where we talk about the primary initial use cases for copilot, which is I need to write an email faster, summarize my meeting, write it, create a new presentation, know who I should be talking to in my sales forecast. 0:22:24.980 –> 0:22:31.190 Nathan Lasnoski These commodity opportunities are where every individual is in your organization has the opportunity to be more as a result of that. 0:22:31.480 –> 0:22:42.250 Nathan Lasnoski But both of these are united by the idea that if we really step back, our number one job is to enable every human in our organization to be able to leverage AI as a component of their skills. 0:22:42.560 –> 0:22:45.170 Nathan Lasnoski And this is not necessarily a natural thing. 0:22:45.180 –> 0:22:58.310 Nathan Lasnoski This is where we have to, as leaders need to think about this as a big picture and almost think about it bigger than the hype right now that this is our opportunity to be able to help all people become more so in the diagram that follows this. 0:22:58.660 –> 0:23:3.990 Nathan Lasnoski What you’ll see is a little bit of a breakdown of what we mean by commodity and custom, if it wasn’t already clear. 0:23:4.100 –> 0:23:9.410 Nathan Lasnoski So commodity is copilot type use case and still says Bing chat enterprise. 0:23:9.760 –> 0:23:11.260 Nathan Lasnoski Come on, come on. 0:23:10.870 –> 0:23:12.240 Chris Blackburn I gotta update that one. 0:23:11.270 –> 0:23:16.490 Nathan Lasnoski Any type use cases, GitHub copilot you know, accelerating dev activities right? 0:23:16.500 –> 0:23:27.170 Nathan Lasnoski Bing Chat enterprise or copilot Microsoft copilot.microsoft.com you know functioning as a chat GPT type Platform, Office 365 copilot. 0:23:27.240 –> 0:23:34.90 Nathan Lasnoski All the general commodity copilot capabilities that lift up the productivity every human on the right hand side. 0:23:34.160 –> 0:23:36.880 Nathan Lasnoski You see things that drive direct ROI. 0:23:36.890 –> 0:23:43.460 Nathan Lasnoski Not that cool commodity doesn’t drive ROI, but these are very much tied to I’m gonna increase sales by X percent. 0:23:43.470 –> 0:23:47.940 Nathan Lasnoski I’m gonna reduce the calls coming to my customer service team by X percent. 0:23:47.950 –> 0:23:51.40 Nathan Lasnoski I’m gonna reduce my time to quote by X hours. 0:23:51.150 –> 0:24:1.140 Nathan Lasnoski These are very specific initiatives that fall into a ROI driven activity but then relate into the commodity. 0:24:1.150 –> 0:24:9.480 Nathan Lasnoski These two things will crossover all the time I there’s a great opportunity for one to ask questions of the other and for them really to play in the same sandbox. 0:24:10.30 –> 0:24:17.270 Nathan Lasnoski So from here Chris is going to start talking a little bit about how do we start thinking about our org and roles in the context of some of these lanes. 0:24:18.310 –> 0:24:23.870 Chris Blackburn Thanks for that overview of the different ways to achieve that. 0:24:24.30 –> 0:24:35.720 Chris Blackburn AI on that AI maturity curve and looking at it in the context of the different spaces and then at the end those different spaces have commodity and custom really do intersect at your business. 0:24:35.730 –> 0:24:37.980 Chris Blackburn They intersect at the people in your business. 0:24:37.990 –> 0:24:56.460 Chris Blackburn They intersect at the different personas that power your business and and I’m showing here in this diagram is a very typical organization structure where most organizations they have executive leadership, they have C-Suite and underneath of those you have very similar functions like marketing, sales and finance. 0:24:56.740 –> 0:25:0.530 Chris Blackburn And what we’ve seen is we’ve worked with customers both big and small. 0:25:0.540 –> 0:25:13.240 Chris Blackburn As we’ve started to ideate different uses of AI in both commodity and custom space that there may be industry specific examples a lot that we work in. Concurrency is manufacturing. 0:25:13.250 –> 0:25:16.630 Chris Blackburn We’ve worked in verticals like finance, healthcare, et cetera. 0:25:16.700 –> 0:25:42.680 Chris Blackburn Those each have their own little different spins of what these personas might look like, but bringing us back to that discussion that human centric AI and the fact that everyone in our organization deserves the right to use AI means that their jobs that they’re doing today that are enabling the mission of your business that they’re doing repeatedly, that they’re spending lots of time on that AI can help them to do more with. 0:25:42.850 –> 0:25:53.370 Chris Blackburn And so as we look at some of the following slides, I wanted to give you some examples of where you may see commodity AI purring and in this case, this would be an account executive. 0:25:53.380 –> 0:26:3.550 Chris Blackburn It could be really anyone in your organization that can take that use of commodity AI through something like a Microsoft 365 copilot. 0:26:3.560 –> 0:26:36.300 Chris Blackburn For PowerPoint to be able to quickly generate content that can save lots of time, we’ve seen use cases in sales orgs and marketing orgs that can help them create content in some cases and sales orgs, they are recreating custom content based on templates based on customer research all the time, and that’s something that the commodity AI space can help them save hundreds of hours a year and over and over again pays for that licensing cost to put AI into their hands through something like copilot. 0:26:36.310 –> 0:26:41.40 Chris Blackburn For Microsoft 365, we then see really that intersection. 0:26:41.190 –> 0:27:12.730 Chris Blackburn As we look at industry specific use cases, let’s say for example in the insurance industry, an insurance adjuster spends countless hours taking photographs, analyzing them, determining what is happening in those photos, to be able to write out a report, and being able to take services like AI and Azure and using vision to be able to write out a detail of not only what’s occurring in that photo, but then being able to detail some of that damage is a game changer in those industries. 0:27:12.740 –> 0:27:14.630 Chris Blackburn And this is just one industry example. 0:27:14.640 –> 0:27:16.730 Chris Blackburn We’ve got dozens of other examples. 0:27:16.740 –> 0:27:21.510 Chris Blackburn Nathan did an amazing job and a couple of different presentations that you can find on our YouTube channel. 0:27:21.840 –> 0:27:37.940 Chris Blackburn I shared a bunch with regards to some of these custom AI use cases and those main resonate with you, so definitely recommend taking a look at some of those webinars that we’ve done just looking at some of the custom AI use cases that might be industry specific. 0:27:38.210 –> 0:27:57.690 Chris Blackburn As we look further into those examples in the context of today’s webinar, we’ve had an opportunity to kind of sit back and look at 6 core personas that we’ve seen across a number of our different customers and really think about where are those intersections between commodity AI and custom AI. 0:27:57.700 –> 0:27:59.70 Chris Blackburn So let’s look at marketing. 0:27:59.80 –> 0:28:11.110 Chris Blackburn If you go to marketing team in your organization, they’re working to look at data from customers to be able to figure out, OK, how can we build out marketing campaigns that are successful in targeting those customers? 0:28:11.160 –> 0:28:12.380 Chris Blackburn How do we build out templates? 0:28:12.390 –> 0:28:17.100 Chris Blackburn Press releases content for websites, blogs, images for LinkedIn. 0:28:17.270 –> 0:28:47.270 Chris Blackburn Those are all great from the commodity space and as we start to look at doing more in marketing, being smart about marketing and being able to look at the data that exists within your organization, that’s where we really didn’t start to intersect in that custom space where we have data warehouses, we have pipelines where we want to look at all of our customers data and what they’re buying and who we’re sourcing data from to be able to be smarter about how we build those marketing campaigns. 0:28:47.280 –> 0:28:58.760 Chris Blackburn We want to be able to consolidate analytics from different sources, websites, et cetera to help us understand where to really drive some additional success in our marketing dollars in our marketing teams. 0:28:58.850 –> 0:29:31.450 Chris Blackburn And then being able to really increase that funnel by optimizing that spin to where we are then being very laser focused in how we market to our customers based on ML models and that’s taking that data that’s already existing and it’s leveraging AI to help us have smart dashboards and being able to recommend how we should communicate to our customers and being able to then empower our sales organizations and the sales organizations are also very important and vital to being able to look at our key customers. 0:29:31.520 –> 0:29:47.150 Chris Blackburn What are some activities that are occurring around those customers that goals and milestones and look at high priority deals being able to schedule meetings, webinars, trips, et cetera, all those really exist within that custom AI space. 0:29:47.160 –> 0:29:53.840 Chris Blackburn But then, once we really then start to layer on a lot of tools that exist within that Microsoft Stack, it could be Viva for goals. 0:29:53.850 –> 0:29:56.800 Chris Blackburn It could be sales for CRM, it could be fabric around the data. 0:29:57.450 –> 0:29:58.620 Chris Blackburn We can do a lot more. 0:29:58.730 –> 0:30:10.440 Chris Blackburn We can look in that code, that custom space to drive revenue through quoting actual elements and then being able to look at increasing revenue by looking at appropriate pricing and looking at those sales. 0:30:10.450 –> 0:30:24.560 Chris Blackburn And based on the scenarios and looking at the market within each of those different customer regions being able to autocomplete some of those drafts based on not only templates that you have, but data sets that live within your data links within your fabric. 0:30:24.670 –> 0:30:35.870 Chris Blackburn And then at the end that allows us to then take focus the energy of our sales teams by combining not only the commodity copilots but also the custom ones. 0:30:35.960 –> 0:30:46.870 Chris Blackburn So that way they can also be laser focused at their jobs objectives and not spending a lot of time with a lot of the busy work that comes along with that particular role. 0:30:46.880 –> 0:31:4.590 Chris Blackburn So those are two really core functions that we’ve seen customers as we’ve ideated some of these use cases start to build out how to interact with their data smarter and in that custom space using AI, looking at demand and supply businesses, there’s a lot more that can go into this. 0:31:4.600 –> 0:31:21.760 Chris Blackburn There’s a lot that goes into supply chains at a very high level, looking at things like inventory and pipelines and being able to convey information that at a macro level and to a dashboard or even a micro level, I think is probably the better way to put it. 0:31:21.850 –> 0:32:28.130 Chris Blackburn Being able to look at some of those details and being able to communicate inventory levels, those are things that can happen through things like power automate, but then enabling power automate and your data that lives within your databases, your data warehouses to take some of that demand and supply information to provide more accurate promise to time to promise and being able to reduce how much inventory you have on hand and being able to properly forecast based on what your customer needs are and using AI to power that is a game changer and being able to look at any sort of bugs in how that data is being reported and being able to help with resolution and different ERP systems which we see customers that our global organizations dealing with multiple business units, multiple ERP platforms, how Nice would it be to bring that into one place to be able to see where there are issues with some of that demand planning and being able to drive a lot of that based on the demand that lives within those different business units. 0:32:28.140 –> 0:32:35.410 Chris Blackburn And then being able to reduce inventory, I think that’s the biggest thing from demand and supply and manufacturing is not over buying. 0:32:35.420 –> 0:32:39.720 Chris Blackburn So that way you don’t under produce for the demand that lives within your space. 0:32:40.630 –> 0:32:43.170 Chris Blackburn So that’s a good example from demand and supply. 0:32:43.270 –> 0:32:58.800 Chris Blackburn Looking at your development teams, there’s a lot of capabilities that being able to develop drafts of applications to getting suggestions for code, for being able to use AI to do some of the more remedial task. 0:32:58.870 –> 0:33:0.550 Chris Blackburn So you can multitask. 0:33:0.640 –> 0:33:7.170 Chris Blackburn Being able to validate code and test plans and results from being able to do pull requests and document that code. 0:33:7.180 –> 0:33:8.720 Chris Blackburn A lot of that exists today. 0:33:8.810 –> 0:33:24.190 Chris Blackburn Within that GitHub copilot for GitHub and some of the copilot for power platform and being able to take those real world examples from a development perspective of doing more and accelerate some of that conversion to code to different languages. 0:33:24.200 –> 0:34:1.970 Chris Blackburn And so you may as an organization have one customer that is net you may have on this PHP you want to have one that’s different technology stacks being able to use AI to help you do that smarter will not only allow you to work faster, but then as you’re looking to uh, build out some of those code personas and some of those based GPT environments too anonymously build code for those different use cases within those different business units is an example where you’re taking multitasking to the next level because AI can do that for you and still build out those GPT like engines for the rest of your organization. 0:34:2.380 –> 0:34:21.940 Chris Blackburn And then for IT, all of us wanna be able to work more efficiently in the in our IT world and being able to look at our, IT costs, being able to draft communications to end users, respond to emails, create presentations and then do things like summarize outages and incidents and be able to communicate with those. 0:34:22.320 –> 0:34:45.870 Chris Blackburn There’s a number of AI based tools today through virtual agents and copilot for Microsoft 365 and security copilot that will allow us to then do more as we take that next level integrate into some of our CMDB’s and our help desk platforms so that way we can provide intelligent responses using chat bots to look at that data. 0:34:45.960 –> 0:34:56.480 Chris Blackburn So you’re in, users can leverage AI to talk to your specific use cases based on your company or based on your end users. 0:34:56.490 –> 0:35:20.620 Chris Blackburn And then really at that last moment when all different venues have been exhausted to then connect them to a human is something you’re seeing more and more in lots of different industries to allow their teams to do more and allow AI to be that first line of defense and didn’t even over and above and providing security and visibility into activities at that faster than human speed. 0:35:20.630 –> 0:35:32.190 Chris Blackburn So that way you know when and incident occurs the moment it occurs without having to engage are certainly some examples that we’ve seen within our customers. 0:35:32.200 –> 0:35:54.460 Chris Blackburn And then finally, from professional services, you know from like someone like at concurrency where it and services intersect, being able to look at best practices and provide data and visibility and data management, recap summaries to meetings, draft rough orders of magnitudes, respond to RFP’s and drafting sales. 0:35:54.530 –> 0:36:8.370 Chris Blackburn Some of that we can do with the copilot for Microsoft 365, but once you add in things like virtual agents sales plugins, as you’re working with customers, you can have virtual chat on your website to help with bookings and inquiries. 0:36:8.620 –> 0:36:22.770 Chris Blackburn You can align those service offerings and sales pipelines to enhance visibility into your needs and then have those next next actions for customers and follow up based on things like text or video or photo analysis that can help too. 0:36:22.780 –> 0:36:38.370 Chris Blackburn And we saw that before with the vision example where being able to help accelerate your interaction with customers means you can do more in it means the customer is happier because their time to be able to receive that product has reduced substantially. 0:36:38.380 –> 0:36:43.650 Chris Blackburn So lots of different use cases across a multitude of different personas. 0:36:43.860 –> 0:36:57.600 Chris Blackburn As we look at that preparation for copilot in thinking of those different personas and the technology and our businesses, we we’ve encountered a number of different questions from a number of our customers. 0:36:57.610 –> 0:37:6.200 Chris Blackburn So there’s there’s this concept and the customer conversations that we have versus kind of the customer thoughts in terms of readiness. 0:37:6.210 –> 0:37:19.350 Chris Blackburn So we’ve definitely seen both sides of those conversations for copilot and being able to prepare your tenant as well as ensuring that your data is ready, your licensing is ready. 0:37:19.360 –> 0:37:43.990 Chris Blackburn And then what does it look like when we start talking about personas and the cost of that $360.00 per person per year, being mindful about who gets it and what stages are conversations that help go into that conversation of piloting copilot and then really trying to dissuade customers from where those initial thoughts aren’t A and a lot of it comes through education. 0:37:44.0 –> 0:37:48.470 Chris Blackburn It’s being on webinars like these so that way you know what is those right steps to avoid. 0:37:48.480 –> 0:38:16.320 Chris Blackburn Just turning it on or looking at just the commodity use cases or even in some cases having readiness and thinking that everything in your environment is 100% ready for AI because there are, there’s definitely security implications that you wanna be mindful of around your users and around your data and the accessibility on that data that you want to make sure that you are ready for as you go into these conversations. 0:38:16.380 –> 0:38:48.940 Chris Blackburn In South, as we take another look at that full of the AI adoption cycle, having that executive alignment to have human centric AI in the hands of everyone is that first big step that you want to ensure that you have by end and from your leadership because that’ll show immensely as you start to approach the rest of the business and all of your different personas, your different departments to go through that concept of envisioning because that’s going to really drive a lot of that tomorrow. 0:38:48.950 –> 0:38:49.280 Chris Blackburn I will. 0:38:49.290 –> 0:38:58.630 Chris Blackburn She’ll talk about here in a minute, but being able to flush out those scenarios to where you can look at that state of pilot to be able to show the business we know AI is the future. 0:38:58.700 –> 0:39:0.710 Chris Blackburn We have great use cases for it. 0:39:0.820 –> 0:39:9.0 Chris Blackburn Now let’s enable it and be able to show the rest of the organization to put AI into everyone’s hands takes us down that adoption cycle. 0:39:9.10 –> 0:39:19.810 Chris Blackburn And so in in thinking about that adoption cycle and potentially where you might be as organization and how someone like at concurrency can help guide you down that path. 0:39:20.230 –> 0:39:24.650 Chris Blackburn We have engaged in these concepts of workshops with our customers. 0:39:24.660 –> 0:39:47.280 Chris Blackburn You know, we’ve done that at no cost to our customers because we want them to go down that AI journey on the right way and and as part of that is going through the envisioning, it’s taking and thinking about our personas and our high impact scenarios, looking at our optimization, our readiness and then really starting to dig in deep and build those out. 0:39:47.290 –> 0:40:2.950 Chris Blackburn And then potentially even understand more after you have built out that that map of use cases and say we need to look at our data more, we need to look at our modern workplace environment more our Office 365 environment, more security more. 0:40:3.80 –> 0:40:12.110 Chris Blackburn That’s where we can take it next steps after the envisioning to really help you, then start to define where you might want to end on that journey. 0:40:12.300 –> 0:40:17.690 Chris Blackburn But starting on that journey and thinking about personas really does begin here. 0:40:17.700 –> 0:40:24.160 Chris Blackburn It’s saying we want to embrace AI, but we want to understand who all is going to be impacted on AI. 0:40:24.170 –> 0:40:29.480 Chris Blackburn What are their challenges that they are encountering on a day to day basis? 0:40:29.490 –> 0:40:38.340 Chris Blackburn Some of those commodity versus custom use cases that we discussed on some of the earlier slides all started here. 0:40:38.410 –> 0:40:45.80 Chris Blackburn It all started at thinking about challenges that are being encountered on a day to day basis. 0:40:45.90 –> 0:41:23.40 Chris Blackburn Within each of these drive bowls, once you start to then think about where those challenges are, then that next step is going to be looking at building out that ROI in some and actually a number of our customers and and probably a big reason why Microsoft has relaxed some of that licensing number is they have that same belief that everyone should have AI, but having that licensing barrier was an impediment, but it’s still a cost impediment whether it’s 300 or 30 and a lot of organizations being able to justify that tomorrow, I is important. 0:41:23.130 –> 0:41:34.480 Chris Blackburn And so having those personas built out, being able to quantify the challenges, being able to understand who an impacts and how much time they do each week really is very foundational. 0:41:34.490 –> 0:41:41.240 Chris Blackburn It’s a great solid foundation around ROI for being able to move into that AI space. 0:41:41.370 –> 0:41:46.120 Chris Blackburn And then from there it’s then determining what are those right building blocks. 0:41:46.230 –> 0:41:49.200 Chris Blackburn Is it a custom versus commodity scenario? 0:41:49.290 –> 0:41:58.150 Chris Blackburn If it’s a eaten either of those scenarios, determining what the right technology is for being able to solve that problem is important too. 0:41:58.280 –> 0:42:20.110 Chris Blackburn Whether it is going to be just a Microsoft 365 copilot to help with easy task like drafts and everybody having to recreate, never having to create them from scratch to the more custom scenarios that involve your data and how your business works and being able to transform that, really the Sky’s the limit when it comes to thinking about the challenges in your business. 0:42:20.120 –> 0:42:21.660 Chris Blackburn Because they’re they’re everywhere. 0:42:21.670 –> 0:42:25.0 Chris Blackburn You know, we see them in all customers that we work with big and small. 0:42:25.390 –> 0:42:28.760 Chris Blackburn They’re challenges both big and small, of their own as well. 0:42:29.550 –> 0:42:32.540 Chris Blackburn That was we start to think about the ROI. 0:42:32.550 –> 0:42:35.820 Chris Blackburn Then we start to think about which ones are the highest priority. 0:42:35.990 –> 0:42:48.80 Chris Blackburn We can think about some of those personas and some of those teams that are going to provide the most immediate ROI for the business and their bottom line by enabling those scenarios. 0:42:48.90 –> 0:42:56.400 Chris Blackburn And so sitting down and thinking of those from a priority perspective, looking at them potentially based on horizons, So what can we do now? 0:42:56.410 –> 0:43:0.730 Chris Blackburn What we wanna do, you know, in three months, what do we want to do by the end of 2024? 0:43:1.190 –> 0:43:18.620 Chris Blackburn R is another great approach and then finally you know we worked with some customers that have also looked at the concept of rice scoring and being able to take different metrics based on the scenario that people in the organization and what they’re trying to accomplish and being able to give it an arbitrary score. 0:43:18.690 –> 0:43:31.790 Chris Blackburn So that way we can say these particular use cases are the highest scored ones if we were to attack just those two or three, we would pay for copilot over and above what that licensing cost is. 0:43:32.90 –> 0:43:57.840 Chris Blackburn So these are areas that concurrency we are helping customers on a daily and weekly basis and certainly wanna do the same for you as you are going down that AI and journey and as part of that we put together some offerings to be able to help with you as you step out of that envisioning process to be able to help you in these three core areas. 0:43:58.50 –> 0:44:0.700 Chris Blackburn You know that first core areas really readiness. 0:44:0.710 –> 0:44:10.650 Chris Blackburn It’s looking at any gaps that are critical to the success of AI and and also to the success of your organization, especially in that modern workplace area. 0:44:10.780 –> 0:44:18.890 Chris Blackburn Looking at security gaps, data estate and data readiness, thinking about who those pilot groups are is that first core step. 0:44:18.960 –> 0:44:26.670 Chris Blackburn The second step really is looking at establishing a center of excellence and doing that within your organization. 0:44:26.860 –> 0:44:45.520 Chris Blackburn We have a managed service where we can come in and provide thought leadership because in a lot of cases you know which we’re looking at the commodity, the AI use cases, it’s how do we as humans interact with a computer which we’ve all been doing at some level for 30-40, fifty years now. 0:44:45.530 –> 0:44:47.160 Chris Blackburn That technology has been around. 0:44:47.230 –> 0:44:49.220 Chris Blackburn It’s been traditionally through a keyboard. 0:44:49.350 –> 0:44:54.760 Chris Blackburn The next generation is going to be through chat and it’s going to be talking to your computer. 0:44:54.770 –> 0:44:57.260 Chris Blackburn We’ve all seen the sci-fi movies of the future. 0:44:57.450 –> 0:45:6.60 Chris Blackburn We are right on that cusp of taking data and technology and being able to interact with it in a very intelligent fashion on a computer. 0:45:6.260 –> 0:45:30.730 Chris Blackburn And we wanna be able to help your organization be ready for that and be able to help you provide that guidance that we’ve seen with customers that we’ve worked with just within the last six months and helping the take them down that commodity AI story and even longer in helping customers that we’ve worked with from an AI perspective and it’s different iterations over the last 7-8 years. 0:45:30.860 –> 0:45:32.130 Chris Blackburn So AI is nothing new. 0:45:32.140 –> 0:46:3.500 Chris Blackburn It’s just more enabled and more in the hands of humans, and so we have that center of excellence to help with being able to look at the management and tracking of those different use cases to be able to help with training and education and and adhering to some best practices in the configuration as well as in how to even talk to AI what are going to be some of those best phrases to give to your users to help them get the most success in the most return out of AI. 0:46:3.770 –> 0:46:17.810 Chris Blackburn And then we’ll help you down that journey of not only pilot and production rollout, but then that really that broader concept of AI and governance even over and above what is in a commodity space and extending into the custom space. 0:46:17.820 –> 0:46:46.640 Chris Blackburn And then really digging into that custom space and looking at that AI product factory as we go through and build out use cases based on personas and the right building blocks with our customers, we usually flush out a number of different custom use cases that intersect with how your business works and how your data is accessible and how we can then transform the two of those together, being able to just sit down and ideate some of those solutions and build out some of those in a pilot fashion. 0:46:46.650 –> 0:47:4.280 Chris Blackburn And then looking at the full story of ML OPS and that life cycle are use cases and projects that we’re doing out an accelerated basis now with the advent of the commodity AI driving that need for more of that custom AI as well. 0:47:8.380 –> 0:47:8.620 Nathan Lasnoski Yeah. 0:47:4.940 –> 0:47:10.250 Chris Blackburn Anything else, Nathan, that you like to add to this based on kind of what we’ve seen with our customers? 0:47:11.220 –> 0:47:13.850 Nathan Lasnoski Yeah, I think I I think you said that really well. 0:47:14.20 –> 0:47:21.880 Nathan Lasnoski One of the biggest transitions, I think every employee of your organization is going to have is this idea that they have a they have an assistant. 0:47:22.800 –> 0:47:27.350 Nathan Lasnoski This idea that like over here is this AI assistant and it does something for them. 0:47:27.640 –> 0:47:36.910 Nathan Lasnoski And that assistant is going to evolve very quickly in what it does today versus what it does tomorrow versus what it does the day after that. 0:47:37.180 –> 0:47:45.930 Nathan Lasnoski And every employee has to get comfortable with this idea of like handing tasks that are that the system is capable of doing. 0:47:46.0 –> 0:47:47.970 Nathan Lasnoski Like if any of you have kids, right? 0:47:47.980 –> 0:47:55.320 Nathan Lasnoski Like you start off with your kids like doing tasks that aren’t super meaningful and they eventually become very productive members of your household. 0:47:55.330 –> 0:47:57.540 Nathan Lasnoski You call it the window of work for your kids. 0:47:57.710 –> 0:48:7.500 Nathan Lasnoski Well, there’s this window of work of AI and it’s gonna continue to accelerate higher and higher and higher to a point where it becomes a an autonomous assistant. 0:48:7.510 –> 0:48:20.120 Nathan Lasnoski For us, this is that entry point that, like those of us who lived through the beginning of the Internet, like live through that like transition of not having it and then having it or the cell phone, like not having a cell phone and then having a cell phone. 0:48:20.290 –> 0:48:31.120 Nathan Lasnoski We’re all now living through that process of not having an AI assistant, then having one in its infancy and then having one that’s really autonomous through that process. 0:48:31.130 –> 0:48:33.960 Nathan Lasnoski And that’s a really exciting thing that all of us get to go through. 0:48:34.30 –> 0:48:44.300 Nathan Lasnoski But in order to successfully do that within your organization, you usually need to establish these programs and practices that might help your organization down the path. 0:48:44.310 –> 0:48:48.860 Nathan Lasnoski It’s not just gonna happen on its own, and that’s what we’re describing here within the CI journey. 0:48:49.980 –> 0:48:50.840 Chris Blackburn That’s perfect. 0:48:50.850 –> 0:48:51.560 Chris Blackburn Thanks Nathan. 0:48:51.620 –> 0:49:5.700 Chris Blackburn It brings up to mind when a conversation I had with my 11 year old is like, why don’t we let computers do everything for us and like we can sit back and I, you know, I think in in, in our world as we’ve been growing up, that definitely was a foreign concept. 0:49:5.710 –> 0:49:10.10 Chris Blackburn But for our kids in the future, I don’t think that’s going to be very much. 0:49:10.20 –> 0:49:21.760 Chris Blackburn They will be AI and technology has really enabled being them to have a better life because they’re not having to do as much as they do now because technology will help enable that for them. 0:49:21.810 –> 0:49:24.630 Chris Blackburn So it’s a better world that we’re leaving for the future. 0:49:25.910 –> 0:49:28.550 Chris Blackburn So thanks again for that input, Nathan. 0:49:28.560 –> 0:49:40.360 Chris Blackburn And then as we look at kind of those foundational steps and being able to help you as an organization, we have put together what we call this copilot optimization assessment. 0:49:40.450 –> 0:49:42.120 Chris Blackburn It’s about 20 questions. 0:49:42.130 –> 0:50:1.410 Chris Blackburn 25 I think that you can fill out and it will help us concurrency to really give you that readiness indicator and give you a score around areas of yorim 365 adoption. Your productivity, tool usage and your data security. 0:50:1.540 –> 0:50:14.810 Chris Blackburn And so we wanna do this as a courtesy to you, to kind of help you down that journey as you’re thinking about those personas and your ideating on where are there areas that you could be doing more in your organization with AI. 0:50:14.880 –> 0:50:23.870 Chris Blackburn This is a great start to ensuring that your environment is ready for AI, and so you know I dropped that link in the chat. 0:50:24.280 –> 0:50:27.490 Chris Blackburn If you want to fill that out, we’ll follow up with you. 0:50:27.560 –> 0:50:35.510 Chris Blackburn With that score, that will not only give you that red, yellow, or green light, but also give you some feedback as well. 0:50:35.520 –> 0:50:51.20 Chris Blackburn From a modern workplace perspective, from an Office 365 and Microsoft 365 perspective, your area of readiness when it comes to preparation for copilot and being able to enable that within your environment. 0:50:52.500 –> 0:51:5.350 Chris Blackburn With that said, I wanted to take just a moment to share of two more upcoming events that we have here at concurrency ones coming up just next week. 0:51:5.440 –> 0:51:18.430 Chris Blackburn Really digging into AI in the development space and being able to harness the power of GitHub, copilot X, copilot studio, and Azure AI studio webinar who’s presenting on that one, Nathan. 0:51:19.560 –> 0:51:20.110 Nathan Lasnoski Boy, we have. 0:51:20.120 –> 0:51:20.770 Nathan Lasnoski Uh, Brandon. 0:51:20.780 –> 0:51:25.350 Nathan Lasnoski Day we have Brian, Haydin, Jeremiah and Esmat. 0:51:25.360 –> 0:51:27.750 Nathan Lasnoski We have kind of a a big crew there. 0:51:27.760 –> 0:51:29.590 Nathan Lasnoski That’s gonna be talking about a lot of those capabilities. 0:51:30.240 –> 0:51:30.940 Chris Blackburn That’s exciting. 0:51:30.950 –> 0:51:40.250 Chris Blackburn There’s a lot of a lot of our team working when that AI space excited to share that with you and at customers. 0:51:40.340 –> 0:51:49.290 Chris Blackburn And on February 8th, we also have an in person event and that’s where does that one being held? 0:51:49.300 –> 0:51:50.610 Chris Blackburn Nathan, is that one on our office? 0:51:52.450 –> 0:51:53.0 Chris Blackburn Perfect. 0:51:51.190 –> 0:51:53.540 Nathan Lasnoski That is in our office in Milwaukee. Yep. 0:51:53.330 –> 0:52:1.550 Chris Blackburn So in Brookfield Milwaukee, we have an in person AI symposium and we have how many guest speakers that are presenting at that one. 0:52:1.680 –> 0:52:4.210 Nathan Lasnoski Oh boy, I think it’s five companies are coming and presenting. 0:52:4.780 –> 0:52:5.170 Chris Blackburn Yeah. 0:52:5.180 –> 0:52:20.90 Chris Blackburn So we’ve got a lot of a lot of the brain trust as it pertains to different companies that we helped work with in that space of AI and that are all coming together for a fun day on February 8th at the Concurrency office. 0:52:20.240 –> 0:52:25.290 Chris Blackburn So hopefully you can come out and join us for that one or join us next week for the webinar. 0:52:25.400 –> 0:52:42.100 Chris Blackburn We’ve got all the information that concurrency.com if you wanna copy of this presentation, if you can please just fill out our survey and let us know, we’ll be happy to get these the the at these slides over into your hands. 0:52:42.630 –> 0:52:48.190 Chris Blackburn Otherwise, there’s been a couple of really good questions that we’ve seen pop into the chat. 0:52:49.60 –> 0:52:52.380 Chris Blackburn You know, some of them had to do around. 0:52:52.630 –> 0:52:56.380 Chris Blackburn Is there any road map for the shared mailboxes? 0:52:57.20 –> 0:52:58.800 Chris Blackburn I haven’t heard of any yet. 0:52:58.810 –> 0:53:20.830 Chris Blackburn I know there is a webinar that I have 10 monthly for some of the Microsoft partners and be copilot space that they’ll usually give us some really good information that may not be necessarily easily accessible on Microsoft copilot adoption page, but that’s also another really good one to visit as well. 0:53:20.840 –> 0:53:25.280 Chris Blackburn They’ve got a awesome site around adoption of copilot. 0:53:25.290 –> 0:53:44.930 Chris Blackburn It covers a lot of these different topics that we covered at more of a broader pace, so definitely recommend checking that out and if there’s any other questions like I see David has his hand up, would definitely love to hear any questions, thoughts or feedback that you have. 0:53:46.310 –> 0:53:47.680 Chris Blackburn Maybe that was on accident. 0:53:48.410 –> 0:53:50.720 Chris Blackburn Might have accidentally hit the wrong button to raise your hand. 0:53:50.730 –> 0:53:51.700 Chris Blackburn Maybe it was a react? 0:53:51.710 –> 0:53:52.640 Chris Blackburn I’ve seen that happen. 0:53:52.650 –> 0:53:54.20 Chris Blackburn I know I’ve done it myself. 0:53:54.450 –> 0:54:0.500 Chris Blackburn Otherwise, if there’s any other questions, definitely feel free to drop them in the chat. 0:54:0.510 –> 0:54:3.60 Chris Blackburn We’re really happy to answer those for you. 0:54:3.190 –> 0:54:7.360 Chris Blackburn Otherwise that does conclude the presentation for today. 0:54:7.450 –> 0:54:8.880 Chris Blackburn We thank you for attending. 0:54:9.10 –> 0:54:9.440 Chris Blackburn Certainly. 0:54:9.450 –> 0:54:22.50 Chris Blackburn Fill out that survey to get a copy of the deck, and if you want to fill out that Microsoft 365 copilot optimization assessment, we’d love to continue to engage with you more down that journey of AI readiness. 0:54:23.600 –> 0:54:24.470 Chris Blackburn Otherwise what? 0:54:24.480 –> 0:54:30.930 Chris Blackburn We’ll hang out here for a few minutes if you’ve got any questions that you wanna pop into the chat. 0:54:31.120 –> 0:54:33.660 Chris Blackburn Otherwise, thanks and have a great day.