Posted November 2, 20222 yr On Monday October 31st , 12 noon eastern, as we hosted Microsoft's Arbindo Chattopadhyay, Global Blackbelt for Microsoft Viva Topics/SharePoint Syntex. Arbindo covered how Viva Topics and SharePoint Syntex can unlock the knowledge and expertise within your organization. “Syntex can manage and build business taxonomies automatically from the content you save to libraries across Microsoft 365. Then Topics can use those taxonomy tags to prebuild topic pages, and automatically attach tagged documents to the topic pages as new content is found and tagged.” SharePoint Syntex Updates – Viva Topics integration and more - Microsoft Tech Community Additionally, attendees learned about the latest in Viva, as well as saw a brief Viva solution demonstration (using audio podcasts within Viva Learning). Attendees also were afforded the opportunity to ask questions of our Viva Monthly hosts and our Viva Topics/SharePoint Syntex special guest. Viva Monthly Live Agenda: Introductions What’s New in Microsoft Viva (10 Minutes) HLS Smartter Health Viva Solution Highlight (5 Minutes) Viva Guest Presentation (30 Minutes) -Arbindo Chattopadhyay, Global Blackbelt for Microsoft Viva Topics/SharePoint Syntex Open QA (15 Minutes) Resources: Slides from the presentation in PDF format Microsoft Syntex, Content AI | Microsoft 365 Microsoft Syntex—Content AI integrated in the flow of work | Microsoft 365 Blog Overview of Microsoft Syntex - Microsoft Syntex | Microsoft Learn Knowledge and Expertise | Microsoft Viva Topics Introduction to Microsoft Viva Topics | Microsoft Learn Microsoft Viva Topics overview | Microsoft Learn Understanding Viva Topics (microsoft.com) Viva Topics – Microsoft Adoption Thanks for visiting – Michael Gannotti LinkedIn | Twitter Automated Transcript: 0:0:0.0 --> 0:0:30.430 Michael Gannotti Alright, it looks like we started recording, so I wanna welcome everybody to today's session of HLS Viva monthly live. This is our monthly session. We have one a month covering a topics around. Not to be confused with today's Viva topics but topics around Microsoft Viva and we welcome your participation during the session. A couple of housekeeping items before we get started, first of all. 0:0:30.750 --> 0:1:1.720 Michael Gannotti You'll notice there is a web address, HTTPS, colon, wack wack AKA dot Ms Slash HLS blog that's AKA dot Ms Slash HLS blog. We'll take the recording from today's session. It'll be posted there afterwards and any additional resources that you can go ahead and access and also share with your colleagues so that'll be there. Also during the session today, we encourage your participation. We love to hear from you. 0:1:1.920 --> 0:1:8.100 Michael Gannotti We love to hear shout outs where people are from. If you have questions you can post those. 0:1:9.240 --> 0:1:11.990 Michael Gannotti Into the chat you can also raise your hand. 0:1:13.130 --> 0:1:23.680 Michael Gannotti And then it, you know, we can unmute people, bring them off, mute to ask somebody something if they like or you can type it and we'll be following along with that as we go through. 0:1:25.120 --> 0:1:27.40 Michael Gannotti Let's go ahead and. 0:1:28.610 --> 0:1:48.970 Michael Gannotti Look at our agenda for today. So we're gonna start off with some brief introductions. It'll take a second. Then we'll jump into what's new in Microsoft. Viva, we have an HLS smartter health highlight. We have a Viva guest presentation today, and our bendo is in live from Vegas. Mike. 0:1:50.850 --> 0:1:52.10 Michael Gannotti That's what I'm talking about. 0:1:52.650 --> 0:1:53.770 Michael Gannotti Shout out to Vegas. 0:1:55.120 --> 0:2:23.840 Michael Gannotti So we'll have our guest presentation by Arbindo, who's gonna be talking about Microsoft Viva topics as well as syntax and how they really can work hand in hand and really expand what's able to be done. We have time at the end for open QA, but of course, as I mentioned, if you have questions as we go through, feel free to post to ask here to raise your hand and we'll try to get those answered. 0:2:24.190 --> 0:2:25.270 Michael Gannotti As we can. 0:2:27.360 --> 0:2:31.300 Michael Gannotti So what's new in Viva? There is a ton. 0:2:32.0 --> 0:2:34.770 Michael Gannotti So I believe last time we talked. 0:2:36.460 --> 0:2:42.10 Michael Gannotti We were talking about the four modules of Viva, which was connections. 0:2:42.730 --> 0:2:57.100 Michael Gannotti Insights, learning and topics and you can see that has already grown out and we did talk about goals last time, but you can see new appearances by Amplify by Insights Pulse. 0:2:58.640 --> 0:3:7.80 Michael Gannotti And more that have started to take hold and I'll hit on those real quickly. But to do that, I'm going to go ahead and pull up. 0:3:8.280 --> 0:3:9.570 Michael Gannotti Not our blog. 0:3:10.170 --> 0:3:40.480 Michael Gannotti But the official Viva blog, so there there's a couple of things I wanna highlight and then I'll drop a link in the chat here. So First off, during the announcements at Ignite and just prior to that, but post our last session, more options coming for the Viva Connections, desktop experience, Viva Connections really is becoming increasingly cemented as that foundational core for all of Eva. 0:3:40.580 --> 0:3:44.550 Michael Gannotti And there's a reason for that. And if we come on down here, you'll see. 0:3:45.600 --> 0:4:15.710 Michael Gannotti A new uh Viva. Well, that didn't give us a very good view. There's a new Viva experience for connections coming where instead of us continue to expand on the left hand rail with all these icons condensing down to a single unified Viva icon. And then within that present our enhanced connections experience along with connections to the modules that you make available in your enterprise. And that's important because we. 0:4:15.790 --> 0:4:39.840 Michael Gannotti We're really trying to, you know, simplify the experience instead of having all these different icons bring it together into a single launchpad via connections and be able to then as we as as you make offerings available in your organization, be able to have a landing place for that right within that enhanced connections design. 0:4:40.860 --> 0:5:11.150 Michael Gannotti I'll have the links to all these, so don't worry about them. We'll give those afterwards, connect daily to work with OK Rs and latest goals integration. So you know, one of the things that we've talked about was that one of the the big pushes for the goals team is increased integration into other pieces. So you can see where in this article they talk about that. But you can see here are the available ones. And then coming soon we have JIRA on premise, Microsoft Planner. 0:5:11.250 --> 0:5:12.850 Michael Gannotti Microsoft project. 0:5:14.120 --> 0:5:15.350 Michael Gannotti Would have thought, right? 0:5:16.570 --> 0:5:31.700 Michael Gannotti Project Power BI and that's both to render dashboard views of a goals that OK Rs. But also to feed you're OK Rs so as you have other applications feeding power BI. 0:5:32.360 --> 0:5:33.770 Michael Gannotti They can in turn feed. 0:5:35.410 --> 0:6:6.0 Michael Gannotti Goals slack and then Viva goals extension and ADO. So number of things coming around that we provided a road map on there. I'm not going to go through all this but we talk about goals. They talked about some of the enhancements to learning coming including learning paths so that you can set those up. I'm seeing that in my preview tenant right now where I'm able to set up learning paths so then you can have readily available courses of study. 0:6:6.220 --> 0:6:15.190 Michael Gannotti To get to some type of end state for your users. Also learning collections is coming there and then some updates around. 0:6:15.580 --> 0:6:24.740 Michael Gannotti Of various permissions and we'll get more into that in another session and then deployment. They're simplifying across the organization. 0:6:26.150 --> 0:6:56.200 Michael Gannotti Also, there is an upcoming webinar by the folks from the Viva team and this is the future of employee learning on November 15th. Again we'll have this link after the fact. We'll put that off the blog site along with the recording from here so you can go and register. It's a free session. I highly encourage you share that with your colleagues, friends and family and check out what's happening and where this is all going with learning because it's an exciting. 0:6:56.290 --> 0:7:23.30 Michael Gannotti Area of rapid expansion in addition to that, we also have announcing the new Viva IT admin feature. So really bringing centralizing the administration of Viva and bringing that as on par and you know really an equal of SharePoint and teams and others have a one place one stop shop for you to go in administer Viva. 0:7:23.730 --> 0:7:30.720 Michael Gannotti That is on the road map it is coming and they give a whole not only the announcement, but a view to that you can see. 0:7:32.440 --> 0:8:0.970 Michael Gannotti They have additional information around Viva topics, something that's gonna come out. We're going to be talking about today, Viva topics, but at KM world, so Microsoft Viva topics will be part of the presentations there and a lot of exciting things that are coming out around topics as we continue to build that up to really become that knowledge management hub for the organization that then feed so many other things like learning. 0:8:1.350 --> 0:8:2.660 Michael Gannotti Like connections. 0:8:3.810 --> 0:8:20.0 Michael Gannotti Engage and others and be able to provide that. So that's coming out at KM world and you can check out that announcement and you'll be able to get to all this. I will drop this one right into the chat right now so that you have that don't have to wait. 0:8:23.20 --> 0:8:50.410 Michael Gannotti There we go. All that comes off of there were many other announcements since then, so if you're looking for anything in the last month since our last session, just take a look at anything starting from October on. We ended our last session with September. So that starts right here under more options coming soon to the desktop and you can see quite a few announcements that have come out. So definitely check that out. We'll have all that again. 0:8:51.200 --> 0:8:56.590 Michael Gannotti Off the post of the recording today session and you can see that following this. 0:8:58.650 --> 0:9:1.140 Michael Gannotti Alright, continuing on. 0:9:2.840 --> 0:9:11.730 Michael Gannotti Smartter health in any questions. Does anybody have any questions about anything? I have my Chad up right now. No questions, alright. 0:9:13.160 --> 0:9:42.490 Michael Gannotti So smarter health, real quickly, I wanted to call out something last time we showcased goals. I wanna show something a little bit differently, a little different than last time in today. So I'm going to shoot on over here. So smartter health, if you're not familiar with it for all of our Microsoft Healthcare and Life science customers. HLS, we have a demo environment nationally called Smarter Health. 0:9:42.630 --> 0:10:13.700 Michael Gannotti And in that we have different solutions that are being built up and we've covered and done things off of the blog around learning. But I just wanted to call out a couple of things both that are working in it today and some that will be soon within the learning piece because it really extends that just in time capability that you can provide for your users within their orgs using out-of-the-box features that you get with learning in fact. 0:10:14.0 --> 0:10:43.90 Michael Gannotti The piece, the first piece that I'll show you, you get even with the freemium version. So if I take a look at our smartter health thing and you can see we have some trending courses here and things I might be interested in. One of the things you'll note right here, right off the bat is there are different media types. So here for example is a PDF so readily being able to open other things, but I'm going to go into this particular piece and Scroll down. 0:10:44.110 --> 0:10:48.420 Michael Gannotti And you'll see what I have here is something called clinicians connect. 0:10:49.410 --> 0:11:0.320 Michael Gannotti What we have done here in Smartter health is we had a request from providers and I'm going to go out to our learning. There we go smartter health learn. 0:11:2.680 --> 0:11:34.110 Michael Gannotti Where folks said, you know, hey, we wanna be able to provide a podcast. And so underneath in this site, setting up a library to do podcasting, we're able to set that up and then start to drop in MP threes, just like you can do videos. And we've showed that in the past where you can go and you can have a video where somebody clicked and then they can say, hey, this is of interest. And this is a video you made internally and then be able to play that habit available. 0:11:34.460 --> 0:12:2.950 Michael Gannotti But in our case, what we're talking about here are MP threes, again taking the comfort level of people and the tools. So think about this. You have a phone, you can record your voice just in time, kind of content. Upload it into a SharePoint library and now also treated like a first class citizen that will play natively here. And here is audio. So if you want to create. 0:12:3.730 --> 0:12:29.940 Michael Gannotti MP3 podcast where you create a library and then folders for your podcast. The same metadata structure that you would use. You can even add to your calendar. We can provide that here and when person clicks you'll know. There you go. It runs native because natively SharePoint online supports MP3 and oh shoot, it's the M4. I forget the name of it. 0:12:31.230 --> 0:12:33.810 Michael Gannotti Jim, what's the name of that one, the M41? 0:12:34.970 --> 0:12:36.60 Jim Warner I'm I'm 4AA. 0:12:35.230 --> 0:13:2.700 Michael Gannotti Do you remember M4A? Thank you. Yes. Supports both of those native and will play right here and then it's just a matter of clicking and playing. And that works. Mobile and desktop. So that's the first piece. So if you have even the freemium, you can extend using SharePoint libraries and folders. Again, we'll have pointers to how to do this, cause we've posted already, you know, step by step how TOS. 0:13:3.100 --> 0:13:5.520 Michael Gannotti Umm, but that's available for you. 0:13:6.480 --> 0:13:36.720 Michael Gannotti And it works just like all other content. Everything from your learning management system right on down to the SharePoint based content. So audio is there as well. Finally last thing they mentioned learning pathways and let's say you want to create pathways. One of the things that you could actually do if you have a podcast series that in fact is a training series that you want to target. In this case, we're doing 1 nurses speak you can create. 0:13:36.810 --> 0:13:48.960 Michael Gannotti An initial lineup right where here you can see I have two items. I'm just going to click at it and then you can see I was able to add a custom thumbnail, give it a title, give it a description. 0:13:49.700 --> 0:13:58.560 Michael Gannotti Select next. It shows the audio podcast I added and then I can simply go in and add additional podcasts. 0:13:59.310 --> 0:14:5.410 Michael Gannotti As those come on to bear so I can have an ongoing learning series part of a learning path. 0:14:6.730 --> 0:14:27.640 Michael Gannotti For instruction, for clinicians or any other, I mean it could be line workers, right? Clinical workers, because again, we want to make it mobile. We want to make it user-friendly, automated, automatically serve up to folks. That's a feature coming not there yet for everybody, but pathways is coming. So that concludes. 0:14:29.60 --> 0:14:47.520 Michael Gannotti Our smartter health, if you want to see smartter health and all the things that we can do there, schedule time with your Microsoft accounting for them to come in and we'll be happy to go ahead and provide that to you now without further ado. 0:14:49.850 --> 0:14:53.60 Michael Gannotti They go on to the next we have a Viva guest. 0:14:53.860 --> 0:15:6.490 Michael Gannotti So our bendo, I'm gonna let you introduce yourself in a in just one second. I'm going to be turning this over our Bendel. I'm gonna come off of the video here in just a second, but. 0:15:7.220 --> 0:15:28.460 Michael Gannotti If you have questions again, you'll be able to raise your hand and we'll we'll queue you up. Also myself and Jim Warner, who you can see in here, will be monitoring the chat on here. So feel free as you have questions, post stuff in there and we'll make sure that we can get that queued up and you're ready to rock'n'roll. 0:15:29.130 --> 0:15:30.800 Michael Gannotti So without further ado. 0:15:32.30 --> 0:15:32.860 Michael Gannotti Arbindo. 0:15:33.750 --> 0:15:34.430 Arbindo Chattopadhyay Thank you, Mike. 0:15:33.840 --> 0:15:35.910 Michael Gannotti Introduce yourself and take it away. 0:15:36.140 --> 0:16:6.510 Arbindo Chattopadhyay Absolutely. It's super excited to be in front of the HLS community and have this opportunity to present some of the innovations we are bringing in the content management space. So hello everyone, my name is Arbindo Chattopadhyay. I'm a director in the content AI specialist team and my responsibility is really to bring the latest innovations that we are making in the AI space. 0:16:6.680 --> 0:16:23.310 Arbindo Chattopadhyay Especially around content management. So today I'm going to walk you through how you can use AI specifically Viva topics and Microsoft syntax to transform your content into knowledge. 0:16:24.410 --> 0:16:31.80 Arbindo Chattopadhyay As Mike mentioned, let's make this interactive. Ask questions, interrupt, ask questions on chat. 0:16:31.540 --> 0:16:43.500 Arbindo Chattopadhyay Ohh I don't want to be this to be a one way presentation. This will be a lot of dim. So get ready to see some of the cool stuff that we are bringing here. 0:16:45.310 --> 0:16:56.440 Arbindo Chattopadhyay Soon before I start, uh, let me just set the stage here. This is my 14th year at Microsoft and I still remember my first week. 0:16:57.730 --> 0:17:2.460 Arbindo Chattopadhyay I'm sure all of you remember your first day first week in your organization. 0:17:3.680 --> 0:17:9.890 Arbindo Chattopadhyay I was anxious. I really wanted to prove myself fast. I wanted to learn. 0:17:10.690 --> 0:17:29.510 Arbindo Chattopadhyay Everything that is around me, everything that I can learn to make myself productive. So what? What do you do? This is 14 years back. What do you do? Usually you have someone. A buddy who is who's assigned to you. You can ask questions you can. 0:17:29.580 --> 0:17:41.260 Arbindo Chattopadhyay Ohh, as you navigate through the organization you can try to identify subject matter experts or you get to know some of the tools that you can use to search for content. 0:17:42.360 --> 0:17:48.60 Arbindo Chattopadhyay Now, Fast forward putting years and here we are going to see. 0:17:48.800 --> 0:18:2.510 Arbindo Chattopadhyay Ohh let me show this. We are going to welcome Megan. Megan just joined Contoso Electronics. Now, please don't read the e-mail. Just the essence of this e-mail. Is this is a welcome e-mail. 0:18:3.360 --> 0:18:17.200 Arbindo Chattopadhyay From Megan's manager to Megan, welcoming her into Contoso electronics, and in this e-mail, as you will note, there is mention of multiple projects that Megan will be working on. 0:18:18.700 --> 0:18:35.610 Arbindo Chattopadhyay Now, what would Megan do? Typically should open up browser, go to the search engine, try searching for Lafayette, searching for ascutney, searching for delta. Understand who the experts are in each of the projects, and what are some of the key documents. 0:18:36.870 --> 0:18:38.660 Arbindo Chattopadhyay Now, what if AI? 0:18:39.600 --> 0:19:3.360 Arbindo Chattopadhyay Comes in here and helps reduce the time Megan would spend searching for documents and searching for experts. So as you can see, this is an e-mail. This is an outlook web access, but it's the same experience in Outlook as well. But what you also see in this e-mail on the top right corner there is this number 5 and then there is a pound sign here. 0:19:4.620 --> 0:19:13.700 Arbindo Chattopadhyay And Megan clicks on this and this is the AI where AI has identified some of the key topics in the e-mail. 0:19:14.900 --> 0:19:25.190 Arbindo Chattopadhyay It is showing Lafayette. It is showing as kidney and it is showing delta as Megan hovers over these topics see she can. 0:19:26.180 --> 0:19:34.530 Arbindo Chattopadhyay Loan what Lafayette is about. What is the summary? What are some of the other names that Lafayette is also known as? 0:19:35.570 --> 0:19:39.560 Arbindo Chattopadhyay Who are the subject matter experts and what are some of the key resources? 0:19:41.830 --> 0:19:45.500 Arbindo Chattopadhyay Right. She can click on this and she can get to. 0:19:46.390 --> 0:19:47.90 Arbindo Chattopadhyay Lafayette. 0:19:53.380 --> 0:20:0.460 Arbindo Chattopadhyay And this is not something that I've hardcoded, this is the built in out-of-the-box experience. 0:20:1.210 --> 0:20:2.900 Arbindo Chattopadhyay Powered by Viva topics. 0:20:4.130 --> 0:20:16.400 Arbindo Chattopadhyay And this helps not only in new employee onboarding, it helps in every scenario and the whole idea here is instead of you trying to spend time searching for information. 0:20:17.190 --> 0:20:19.830 Arbindo Chattopadhyay Information is brought to you with AI. 0:20:21.10 --> 0:20:29.770 Arbindo Chattopadhyay Right. So in the next presentation, we are going to see how to make this work. What do you need to make this work? And it's it is quite simple actually. 0:20:31.370 --> 0:20:43.20 Arbindo Chattopadhyay So before I get to that, I'm just gonna walk you through a few slides as to why we built this, what are the capabilities and how you can quickly get started with this. 0:20:47.890 --> 0:20:50.460 Arbindo Chattopadhyay Alright, so why did we build this? 0:20:51.810 --> 0:21:21.910 Arbindo Chattopadhyay With digitization of business processes, we are experiencing an unprecedented growth in unstructured content. When I sound structured content, everything from PDF's to documents to spreadsheets, audio files, video files, either getting generated within the organization or being received from external users and businesses. By the year 2025 as per the research. 0:21:22.260 --> 0:21:30.630 Arbindo Chattopadhyay World is going to host 130 billion terabytes of content. I cannot even imagine how many zeros are in here. 0:21:31.740 --> 0:21:38.910 Arbindo Chattopadhyay And this is not going to slow down. This is going to grow significantly as we digitize business process. 0:21:40.490 --> 0:21:47.940 Arbindo Chattopadhyay Just to give you some sense, Microsoft 365 adds 1.6 billion documents per day. 0:21:49.490 --> 0:21:59.260 Arbindo Chattopadhyay Today and organizations are are spending a lot of money just trying to manage this content within the organization. 0:22:0.760 --> 0:22:12.660 Arbindo Chattopadhyay So this is the problem that we are trying to solve. We are not trying to reduce the amount of content that is getting generated, but we are trying to bring AI to manage this content. 0:22:14.420 --> 0:22:27.510 Arbindo Chattopadhyay So as we talked to our customers and partners, we have identified 4 key challenges that we want to address with this API. Number one, we want to transform content into information. 0:22:28.740 --> 0:22:42.790 Arbindo Chattopadhyay As you generate content in your organization, you have so much valuable information inside it. But all that information is locked inside unless you extract them and use it in the business process. 0:22:44.320 --> 0:22:58.350 Arbindo Chattopadhyay Organization gaps. So today for you to use this information you need manual processes where someone is classifying what the content is and extracting meta data from it. 0:23:0.370 --> 0:23:6.200 Arbindo Chattopadhyay #3, one of the most common complaint from end users, is that search is broken. 0:23:7.50 --> 0:23:35.560 Arbindo Chattopadhyay I cannot find what I'm looking for. I'm spending too much time trying to find relevant information we want to fix that and last but not the least, is the risk risk from security and compliance or customers are asking us to build proactive approach to applying the compliance and security policies instead of depending on the users to do the same. 0:23:37.970 --> 0:23:53.640 Arbindo Chattopadhyay So with this in mind, project Cortex was launched 2 years ago, and from Project Cortex there were two products that were born. The first one became Viva topics, the second one is Microsoft syntax. 0:23:54.820 --> 0:23:56.330 Arbindo Chattopadhyay So we were topics. 0:23:57.530 --> 0:24:27.80 Arbindo Chattopadhyay What does it do? It uses AI, especially machine learning, to curate your enterprise content and from the enterprise content. The end goal of Viva Topic is to identify those key topics and subject matter experts and build an enterprise Wikipedia for your organization, something that all the users can go to and refer to to. 0:24:27.390 --> 0:24:29.350 Arbindo Chattopadhyay I'm to consume knowledge. 0:24:30.790 --> 0:24:52.640 Arbindo Chattopadhyay And last but not the least, the goal of the Viva topic is really to proactively bring this knowledge in the flow of work. So as you saw in the outlook e-mail, the knowledge came to the use it. Similarly, we will be lighting up all the other canvases such as Microsoft Teams and SharePoint as well. 0:24:55.800 --> 0:25:1.50 Arbindo Chattopadhyay 2nd is Microsoft syntax. Microsoft Syntax uses machine teaching. 0:25:2.90 --> 0:25:16.60 Arbindo Chattopadhyay And machine learning combination of both to do 2 activities. One it looks inside every document to classify what is the business domain of that document. 0:25:16.820 --> 0:25:24.370 Arbindo Chattopadhyay Is it a contract? Is it invoice? Is it a patient information form? Is it a claims form? What is the business domain? 0:25:25.360 --> 0:25:29.650 Arbindo Chattopadhyay And second, it extracts the meta data from the document. 0:25:30.470 --> 0:25:35.990 Arbindo Chattopadhyay To produce a contract, what is the contract amount? What is the contract date? What are terms and conditions? 0:25:37.150 --> 0:25:41.340 Arbindo Chattopadhyay This is a common activity extracting meta data. 0:25:42.90 --> 0:25:59.340 Arbindo Chattopadhyay That our highly paid and highly skilled employees are doing every day and the whole goal here is to reduce the manual time, thereby increasing the productivity and also reducing the risk that comes from human error. 0:26:0.860 --> 0:26:6.900 Arbindo Chattopadhyay And lastly, use the classification and metadata to enable content discovery. 0:26:7.750 --> 0:26:14.750 Arbindo Chattopadhyay So now you can do searches such as show me all the contracts where contractor is Microsoft. 0:26:15.910 --> 0:26:21.420 Arbindo Chattopadhyay So you are bringing structured query in the unstructured world of content. 0:26:22.540 --> 0:26:33.850 Arbindo Chattopadhyay You are also using this classification and metadata to drive business processes such as approval to drive compliance policies and to drive sensitivity labels. 0:26:37.630 --> 0:26:40.180 Arbindo Chattopadhyay So how does it work at a very high level? 0:26:40.920 --> 0:26:46.210 Arbindo Chattopadhyay Step number one is for you to define your enterprise taxonomy. 0:26:47.280 --> 0:26:55.410 Arbindo Chattopadhyay This is where you are seeding Viva topics with some of the key topics that are relevant to your organization. 0:26:56.400 --> 0:27:9.10 Arbindo Chattopadhyay It could be the products that you sell. It could be the services that you provide. It could be locations where your hospitals are, it could be the customer segments. What is your enterprise taxonomy? 0:27:10.600 --> 0:27:16.210 Arbindo Chattopadhyay Now after you build your taxonomy, you also provide what you call as a synonyms. 0:27:17.120 --> 0:27:25.650 Arbindo Chattopadhyay For example, 401K is a benefit in the US, but it could be called something else in Canada and something else in India. 0:27:26.780 --> 0:27:35.870 Arbindo Chattopadhyay So what you're doing is, along with the taxonomy, you're also defining the synonyms that each of the top are also has within your enterprise. 0:27:37.810 --> 0:27:38.810 Arbindo Chattopadhyay Second, you're up. 0:27:39.730 --> 0:27:46.800 Arbindo Chattopadhyay You have your content in M365, your documents your spreadsheets as well as your SharePoint content. 0:27:48.260 --> 0:28:17.990 Arbindo Chattopadhyay #3 this is where the AI is working for you. So we were topics goes and curates your enterprise content. It looks at your taxonomy and builds the topic of experience for each of the term in your taxonomy. Now this is an optional step of using the taxonomy. If you do not use the taxonomy we were topics we'll just go and identify. 0:28:18.90 --> 0:28:20.180 Arbindo Chattopadhyay All the topics within your enterprise. 0:28:21.110 --> 0:28:25.560 Arbindo Chattopadhyay And how is it doing it? It is doing it based on the graph information. 0:28:26.290 --> 0:28:42.940 Arbindo Chattopadhyay It is looking at what are some of the key search terms. So what are some of the key documents? What are people collaborating on who is collaborating more on specific area? It is using all that information and generating this enterprise Wikipedia for you. 0:28:44.420 --> 0:28:55.380 Arbindo Chattopadhyay Syntax on the other hand is going inside each and every document and classifying. This is the contract. This is the invoice. This is the patient information and extracting the meta data. 0:28:56.720 --> 0:29:2.800 Arbindo Chattopadhyay Now topics and syntax are now coming together. Because of this taxonomy. 0:29:4.30 --> 0:29:17.300 Arbindo Chattopadhyay And we'll see a demo now that we were topics as used the taxonomy to create a wiki or a topic experience syntax will now align the documents to each of those topic. 0:29:19.160 --> 0:29:30.510 Arbindo Chattopadhyay No, after the AI does it work, that is when the humans comes into picture. Now the subject matter experts will go in and review what we what topic has. 0:29:31.250 --> 0:29:40.940 Arbindo Chattopadhyay Ohh, cute it. What are some of the key topics? Who are the subject matter experts and now humans can find you this topic experience. 0:29:42.60 --> 0:29:52.580 Arbindo Chattopadhyay They can add a new subject matter expert. They can add new documents that define content, remove certain topics and make sure it is ready for enterprise consumption. 0:29:54.270 --> 0:29:59.900 Arbindo Chattopadhyay And this is when the topic and the syntax content is now. 0:30:1.110 --> 0:30:15.200 Arbindo Chattopadhyay Auto discoverable within Microsoft Office. So within outlook within teams within SharePoint, we are proactively showing you the relevant topic based on your context. 0:30:18.810 --> 0:30:19.900 Arbindo Chattopadhyay Any questions so far? 0:30:21.370 --> 0:30:23.220 Arbindo Chattopadhyay Is there any question on the chat? 0:30:25.920 --> 0:30:27.700 Michael Gannotti Yeah. So we did have. 0:30:29.400 --> 0:30:42.10 Michael Gannotti Mike Morrison. Well, first we had two things. Andre had said that he's very interested in seeing metrics or KPI's with syntax as you get into it. Also Mike Morrison. 0:30:44.270 --> 0:30:55.270 Michael Gannotti Had posted and he said just thinking out loud, but rather than five for new untrained user to the system. Would it be better to have more context? 0:30:56.210 --> 0:31:2.200 Michael Gannotti EG key, subject topics, so user will clearly see an action implied. 0:31:3.270 --> 0:31:3.730 Arbindo Chattopadhyay Yeah. 0:31:2.920 --> 0:31:5.230 Michael Gannotti That was the two things we had posted. 0:31:5.660 --> 0:31:13.870 Arbindo Chattopadhyay Awesome. Great feedback. Absolutely. So we are open to all the feedback, whatever makes sense. I'm gonna take it back to engineering. 0:31:14.470 --> 0:31:17.800 Arbindo Chattopadhyay Umm yeah, so thank you. And we'll talk about. 0:31:18.470 --> 0:31:23.560 Arbindo Chattopadhyay Metrics or KPI? And if I do not answer please ask question. 0:31:24.810 --> 0:31:25.920 Arbindo Chattopadhyay Alright, so let's. 0:31:27.60 --> 0:31:28.110 Arbindo Chattopadhyay Look at this. 0:31:29.700 --> 0:31:30.410 Arbindo Chattopadhyay In action. 0:31:31.760 --> 0:31:32.290 Arbindo Chattopadhyay Right. 0:31:35.510 --> 0:31:39.940 Arbindo Chattopadhyay OK, so the first thing that we are going to see is the. 0:31:41.190 --> 0:31:55.580 Arbindo Chattopadhyay Taxonomic so here. This is where you go in and you define what is your enterprise taxonomy. So here you will see Contoso electronics within engineering. They have all the engineering projects that they are currently working on. 0:31:56.290 --> 0:32:4.120 Arbindo Chattopadhyay Right now you may have something else. You may have geography, you may have your customer segments or products. 0:32:5.0 --> 0:32:7.200 Arbindo Chattopadhyay Uh, now, for each one of them. 0:32:8.70 --> 0:32:11.240 Arbindo Chattopadhyay You may also have what we call as a synonym. 0:32:12.70 --> 0:32:26.700 Arbindo Chattopadhyay For example, Delta may also be known as PRJ 004A or R PA004A in this case. So you will define synonyms for your terms. Again, this is the optional element. 0:32:28.700 --> 0:32:29.800 Arbindo Chattopadhyay After you do that. 0:32:31.90 --> 0:32:35.560 Arbindo Chattopadhyay What you do is you go and you request a topic you say. 0:32:36.330 --> 0:32:52.150 Arbindo Chattopadhyay You tell we were topics to go ahead and use this term to curate topic experience for this particular term and you can use the API so that you can request topic for each and every term in your taxonomy. 0:32:53.580 --> 0:33:0.110 Arbindo Chattopadhyay So what happens here is for lapaire, you'll see we were topic has already created a topic experience. 0:33:2.400 --> 0:33:3.410 Arbindo Chattopadhyay View details. 0:33:10.70 --> 0:33:14.670 Arbindo Chattopadhyay And you will see it has the summary. It has what it is also known as it has. 0:33:15.250 --> 0:33:27.530 Arbindo Chattopadhyay Ohh identified subject matter expert and the files and resources what it will also do is you will see it has also identified what are some of the related topics to the Lafayette. 0:33:28.750 --> 0:33:30.450 Arbindo Chattopadhyay Right. And you will see this. 0:33:30.530 --> 0:33:50.380 Arbindo Chattopadhyay This and nodes number of nodes growing as more and more content is added. Now when this is created. This is in an unpublished board. This is where a user goes in subject matter expert. They review what we what topic has done. They make changes if need be and then they publish it. 0:33:51.110 --> 0:33:59.840 Arbindo Chattopadhyay Once the publisher, it shows up in Outlook. It shows up in teams. When you go to teams you start chatting, you post something. 0:34:2.320 --> 0:34:6.610 Arbindo Chattopadhyay You use the pound sign and then you can link to the topic itself. 0:34:10.470 --> 0:34:16.360 Arbindo Chattopadhyay You're in the chat. You'll see as kidney here. And this is this is the topic. 0:34:19.850 --> 0:34:21.120 Arbindo Chattopadhyay You see here this one. 0:34:27.610 --> 0:34:31.500 Arbindo Chattopadhyay You know, for some reason this is not pulling up right now. Let's check this. 0:34:34.950 --> 0:34:35.430 Arbindo Chattopadhyay OK. 0:34:36.120 --> 0:34:46.350 Arbindo Chattopadhyay Demogod is not very happy with me today, but imagine when you clear, you know when you type pound, it will show you all the list of approved topics. 0:34:47.410 --> 0:34:51.160 Arbindo Chattopadhyay Let me try one more time in here. Yeah, here you will notice. 0:34:52.20 --> 0:34:55.890 Arbindo Chattopadhyay And use bound escuti and it has already highlighted the topic. 0:34:56.620 --> 0:34:57.810 Arbindo Chattopadhyay Along with the details. 0:34:58.630 --> 0:34:58.930 Arbindo Chattopadhyay Yep. 0:35:5.530 --> 0:35:17.740 Arbindo Chattopadhyay Yeah, this is the experience. So here you'll say WPA and you can start writing, so anyone who is referring to the post can now hover over the the topic and then then they can take a look at the details. 0:35:19.120 --> 0:35:28.970 Arbindo Chattopadhyay Second, let's look at Microsoft syntax. Like I said, Microsoft syntax goes inside the document and does the classification and metadata extraction. 0:35:29.660 --> 0:35:31.820 Arbindo Chattopadhyay So these are the design documents here. 0:35:32.940 --> 0:35:35.190 Arbindo Chattopadhyay Let me show you how they look like. 0:35:36.670 --> 0:35:46.680 Arbindo Chattopadhyay To hear you will notice the there is a project code here. It does not say that ascutney, but there is a project code and then there is lot of this information. 0:35:47.780 --> 0:35:49.330 Arbindo Chattopadhyay Similarly for delta. 0:35:50.130 --> 0:36:2.480 Arbindo Chattopadhyay There is a project called. Now what syntax we'll do is syntax will classify and it will extract the meta data and this is how it looks like when syntax runs. 0:36:5.330 --> 0:36:35.330 Arbindo Chattopadhyay And syntax runs as soon as you upload new content in your library or you select existing content and click on classify and extract. So you will notice what has happened. It has tagged the project with Ascutney. It has tagged the project with Hood Delta. Depending on what the project code was. Now the project code could be the exact term in your taxonomy or it could be one of the synonyms. 0:36:36.310 --> 0:36:38.40 Arbindo Chattopadhyay And it has extracted. 0:36:39.270 --> 0:36:51.180 Arbindo Chattopadhyay It can extract any meta data like you know there is a design number. There is a date, there is a contract terms using machine teaching. It extracts all this metadata. 0:36:52.340 --> 0:37:2.890 Arbindo Chattopadhyay Now this is how topic and syntax they are coming together because they have the common tag that binds them together with the taxonomy. 0:37:4.150 --> 0:37:23.860 Arbindo Chattopadhyay Now what is the use of this now as a user, if you want to search for all the documents with project code EX6543, you can use the metadata search here project code EX6543. 0:37:24.670 --> 0:37:25.480 Arbindo Chattopadhyay And such. 0:37:26.240 --> 0:37:31.530 Arbindo Chattopadhyay You're doing a structured query in the on for in the unstructured content. 0:37:32.630 --> 0:37:36.180 Arbindo Chattopadhyay Right now, this particular search experience. 0:37:37.530 --> 0:37:38.620 Arbindo Chattopadhyay This is dynamic. 0:37:40.830 --> 0:37:49.560 Arbindo Chattopadhyay The meta data that you see here automatically changes based on the metadata in the SharePoint library. 0:37:50.650 --> 0:37:57.210 Arbindo Chattopadhyay Right. You could also use power automate to send this metadata to a back end system for further processing. 0:37:59.880 --> 0:38:0.430 Arbindo Chattopadhyay Let's see. 0:38:1.260 --> 0:38:4.500 Arbindo Chattopadhyay Let me show you one more demo of syntax here. 0:38:8.40 --> 0:38:36.610 Arbindo Chattopadhyay Here I'm going to show you a patient resuscitation debrief form. This is a very common form that is used in hospitals by healthcare workers after they perform resuscitation on patient. So today what happens is this form is filled. They take a picture or the scan it, they send it to it. Now in it there are employees who are reviewing this form and entering all this. 0:38:36.870 --> 0:38:39.310 Arbindo Chattopadhyay Data manually in the system. 0:38:40.430 --> 0:38:48.660 Arbindo Chattopadhyay Now with syntax, all this can be automated. You can build a syntax model to do that. You define the metadata. 0:38:49.450 --> 0:38:53.0 Arbindo Chattopadhyay It literally takes 15 minutes to build this AI model. 0:38:54.160 --> 0:38:57.390 Arbindo Chattopadhyay You upload 5 documents for training the model. 0:38:58.270 --> 0:39:0.670 Arbindo Chattopadhyay You can upload more, but minimum is 5. 0:39:3.40 --> 0:39:11.770 Arbindo Chattopadhyay And next, this is where you're using the editor to select what you want to extract and map it to the metadata field. 0:39:12.950 --> 0:39:20.590 Arbindo Chattopadhyay As you can see, syntax can recognize handwritten content. It can work on PDF, JPEG, PNG. 0:39:21.250 --> 0:39:22.780 Arbindo Chattopadhyay And office files as well. 0:39:26.290 --> 0:39:34.880 Arbindo Chattopadhyay The first note takes around 10 to 15 seconds because of all the processing that is happening here in the browser. After that, it's pretty pretty fast. 0:39:36.150 --> 0:39:40.900 Arbindo Chattopadhyay So as you can see, you drag and drop if you want to extract physician code reader. 0:39:42.700 --> 0:39:47.130 Arbindo Chattopadhyay And then you sit ohh, assign it to a particular metadata. 0:39:48.180 --> 0:39:54.500 Arbindo Chattopadhyay You can extract checkboxes. You can extract all the table information. For example, if you have invoices. 0:39:55.650 --> 0:40:18.760 Arbindo Chattopadhyay As well as handwritten contract, you do this for five files. You train the model and then you deploy it, publish it to your SharePoint library. After you do that, as soon as a new form comes into the organization, either through e-mail or someone uploads it, syntax runs in the back end and it has automatically. 0:40:21.950 --> 0:40:25.60 Arbindo Chattopadhyay Extracted all the information, including handwritten content. 0:40:27.760 --> 0:40:40.420 Arbindo Chattopadhyay OK, now using power automate you can now send this information to your EHR system. If required, you can use power BI to do some trend and analysis right here from. 0:40:41.200 --> 0:40:44.870 Arbindo Chattopadhyay You can do visualized library. I need to log in here. 0:40:47.300 --> 0:40:56.620 Arbindo Chattopadhyay But the whole idea here is we are reducing the amount of time that is required today to analyze and process all this information. 0:41:0.870 --> 0:41:3.760 Arbindo Chattopadhyay Last thing I want to show you is the compliance. 0:41:4.530 --> 0:41:6.260 Arbindo Chattopadhyay So as you have seen here. 0:41:8.550 --> 0:41:8.980 Arbindo Chattopadhyay Sorry. 0:41:14.340 --> 0:41:29.330 Arbindo Chattopadhyay In the model itself, you can specify the retention label. For example, if you want to store this record for 10 years or 15 years, you can define it in the model itself and so that users they don't have to do it by themselves. 0:41:31.260 --> 0:41:42.670 Arbindo Chattopadhyay Now you have seen how this works in a semi structured content such as this one, but syntax also works in a totally unstructured content. For example, if you have contracts. 0:41:43.580 --> 0:42:14.100 Arbindo Chattopadhyay Right in the contract, the contract date, contract amount, they may not be in specific position or a specific layout. This is where syntax uses a machine teaching where it uses pattern based recognition to identify the meta data and extract it and store it in the SharePoint library. So these are all the contracts you can select multiple contracts, click on, classify and extract or you upload new contracts. 0:42:16.870 --> 0:42:20.820 Arbindo Chattopadhyay Your you'll notice it has extracted all the metadata. 0:42:24.300 --> 0:42:55.330 Arbindo Chattopadhyay Right now you can have multiple models defined and assigned to a particular library, contracts, service agreements, NDA's, employment offers as documents are uploaded to SharePoint library, all the models are executed against the against the file. Whichever model has high confidence score that particular model is applied. So imagine you having all this content today terabytes of content. 0:42:55.510 --> 0:43:15.80 Arbindo Chattopadhyay Which syntax now you can classify what is the content. You can automatically apply a retention policy so that the content is deleted. You can enable metadatabase search for your users and now you can also integrate with power automate and build your business processes. 0:43:17.960 --> 0:43:18.610 Jim Warner Arbindo. 0:43:18.860 --> 0:43:19.410 Arbindo Chattopadhyay Yep. 0:43:19.980 --> 0:43:30.310 Jim Warner And the question out there for Mike, does anyone estimate, does one estimate estimate the syntax AI caused by referencing AI builder costs? 0:43:30.850 --> 0:43:33.540 Arbindo Chattopadhyay Yeah, very good question. I'm gonna cover that. Yep. 0:43:36.670 --> 0:43:40.620 Arbindo Chattopadhyay All right, so going back to the slides. 0:43:42.930 --> 0:43:52.590 Arbindo Chattopadhyay We have three types of syntax models today. The first one prebuilt models, so Microsoft is providing out-of-the-box models that we have already trained. 0:43:53.830 --> 0:44:13.500 Arbindo Chattopadhyay Invoices and receipts are GA today. It's available today for you to use, so if you want to process your invoices, you do not have even have to build a model. You just provide 1 sample. That is it. You deploy all your invoices from multiple vendors will get classified and information extracted. 0:44:14.900 --> 0:44:18.430 Arbindo Chattopadhyay Seem similarly for receipts and then we are adding new models. 0:44:19.950 --> 0:44:27.460 Arbindo Chattopadhyay The second one is for structured document model, one that you saw with the patient resuscitation form. 0:44:28.730 --> 0:44:40.830 Arbindo Chattopadhyay And the third one is the unstructured document model. This is where the machine teaching is used for documents such as contracts, NDA's, research papers, clinical trials, et cetera. 0:44:43.370 --> 0:45:5.460 Arbindo Chattopadhyay No, coming back to the AI builder cost, there is the AI builder. Cost is only applicable to the structured document model where you are using where syntax uses the AI builder to build the model itself. There is no consumption based cost for prebuilt model or the unstructured document model. 0:45:9.490 --> 0:45:11.260 Arbindo Chattopadhyay One other question that comes up. 0:45:12.320 --> 0:45:14.490 Arbindo Chattopadhyay Is. How is this different from AI builder? 0:45:15.260 --> 0:45:45.730 Arbindo Chattopadhyay Right, So what AI Builder does is first two elements. It does the classification and it extracts the metadata. What syntax does is that it uses these two to automate the content life cycle. For example using the classification and metadata with syntax you can you can assign sensitivity labels so contract has to be highly confidential. Patient has to be confidential. 0:45:45.800 --> 0:45:53.380 Arbindo Chattopadhyay They should information it. You can also apply compliance label like Delete after 10 years. Delete after 15 years so on and so forth. 0:45:54.450 --> 0:46:2.660 Arbindo Chattopadhyay You enable Meta databased search like you search on specific meta data for your users to quickly get to the information they're looking for. 0:46:3.980 --> 0:46:8.730 Arbindo Chattopadhyay With syntax and topics, you enable much richer knowledge discovery. 0:46:9.500 --> 0:46:20.410 Arbindo Chattopadhyay Now all the content that is tagged is now easily aligned with topics so that it it gets curated and shown in the topic experience. 0:46:21.500 --> 0:46:46.70 Arbindo Chattopadhyay And last but not the least, we also have content assembly within syntax, so using all the metadata. Now you can generate a new content. So think about a scenario where you are creating an addendum to a contract instead of creating a contract from a blank document or copying and pasting existing document, you can use metadata to generate new document. 0:46:49.630 --> 0:46:50.950 Arbindo Chattopadhyay Here are some. 0:46:51.820 --> 0:47:15.70 Arbindo Chattopadhyay Scenarios for Viva topics, but from everything from you know a new employee onboarding to customer service to product design. Viva topics really helps users reduce the time they spent in finding for information and also finding new insights even if they're not looking for. 0:47:15.880 --> 0:47:16.240 Arbindo Chattopadhyay Right. 0:47:17.940 --> 0:47:19.170 Arbindo Chattopadhyay These are some of the. 0:47:19.250 --> 0:47:32.770 Arbindo Chattopadhyay Well, case studies, Northumbrian water based in UK, it's an engineering form. They're using topics and sing takes to retain knowledge from their existing design documents. 0:47:34.30 --> 0:47:42.200 Arbindo Chattopadhyay London Stock Exchange Group is using syntax to identify the fund information from the prospectus. 0:47:43.290 --> 0:47:49.800 Arbindo Chattopadhyay So that the wealth managers, the advisors, they don't have to spend hours and hours to do the same thing every day. 0:47:52.380 --> 0:48:8.370 Arbindo Chattopadhyay This is the Gartner and the Forester quadrant. You'll notice it's a little small here, but Microsoft is in the leaders quadrant both for Gartner and Forrester Wave report, and this is not because of the specific features. 0:48:9.210 --> 0:48:16.860 Arbindo Chattopadhyay That we have, but it is because of the end to end platform that we provide or with topics and syntax. 0:48:19.10 --> 0:48:24.40 Arbindo Chattopadhyay Here is a quick road map. What we saw here is really the first row. 0:48:24.890 --> 0:48:42.100 Arbindo Chattopadhyay At Ignite, we announced our syntax road map for next one year. You will notice we are investing a lot in this space. We are bringing features such as annotations, something that you can use for reduction as well. 0:48:43.10 --> 0:48:45.80 Arbindo Chattopadhyay We are building more prebuilt models. 0:48:46.290 --> 0:49:1.780 Arbindo Chattopadhyay Or CR by default OCR on all the content in your SharePoint and exchange summarization of a large documents where syntax will create multiple summaries so that you can quickly get a gist of huge document. 0:49:2.570 --> 0:49:5.420 Arbindo Chattopadhyay Translation from one language to another. 0:49:6.570 --> 0:49:25.610 Arbindo Chattopadhyay The other ones that I'm really excited about is the E signature. We will be bringing in E signature right inside SharePoint. You will be able to integrate with Adobe sign DocuSign as well as syntax will have its own esignature that you can use. 0:49:27.110 --> 0:49:43.420 Arbindo Chattopadhyay On the managed side, we are adding tools for IT to manage this large amount of content. We are going to introduce tiered storage so that you can archive your content that is not being actively used in a cold storage location. 0:49:44.380 --> 0:50:4.550 Arbindo Chattopadhyay We are also going to provide point in time backup and restore so that if there is any ransomware or you want to restore something, you can quickly go to the backup and restore and restore to a particular point and this will be A at a very granular level at a site and document libraries. 0:50:7.70 --> 0:50:8.140 Arbindo Chattopadhyay Any questions so far? 0:50:12.780 --> 0:50:13.600 Jim Warner No looking good. 0:50:13.960 --> 0:50:20.70 Arbindo Chattopadhyay Alright, so that is it. That is really how we bring. 0:50:21.120 --> 0:50:27.30 Arbindo Chattopadhyay AI to work for you and help you curate the content and use it in your flow of work. 0:50:32.50 --> 0:50:34.440 Arbindo Chattopadhyay Wait for any questions. Any feedback? 0:50:38.730 --> 0:50:40.790 Arbindo Chattopadhyay Not I can hand it over to Mike. 0:50:45.890 --> 0:50:54.880 Michael Gannotti Alright, so if you have questions now would be the time you can raise your hand. We can bring you off mute. You can also post them in the chat. 0:50:56.540 --> 0:51:1.910 Michael Gannotti We're happy to entertain those. Anything about the topics that you've seen today and. 0:51:4.150 --> 0:51:7.380 Michael Gannotti We have a few minutes left, so I see Mike is typing. 0:51:8.660 --> 0:51:10.80 Michael Gannotti We'll wait for that to come in. 0:51:14.930 --> 0:51:19.290 Michael Gannotti Go and rust, rust asked. Are you able to share the slides our bendo. 0:51:19.620 --> 0:51:20.530 Arbindo Chattopadhyay Absolutely, yeah. 0:51:22.890 --> 0:51:23.150 Arbindo Chattopadhyay Yep. 0:51:20.770 --> 0:51:27.590 Michael Gannotti So yeah, just send those to me in and uh, chat on teams and I'll add those to the the resources. 0:51:29.590 --> 0:51:35.750 Arbindo Chattopadhyay What is the typical rollout time for a working project now? As you can see, syntax is pretty quick. 0:51:36.550 --> 0:51:43.600 Arbindo Chattopadhyay You can start with something as simple as invoice or receipt and get started within within few hours. 0:51:44.500 --> 0:51:45.170 Arbindo Chattopadhyay Of. 0:51:46.720 --> 0:52:0.310 Arbindo Chattopadhyay We were topics takes takes a while, it takes a about a week to 10 days initially depending on the amount of content you have for AI to curate what you have in the enterprise. 0:52:1.240 --> 0:52:7.990 Arbindo Chattopadhyay And after you do that, maybe a week for you to review what is there and refine it. 0:52:8.960 --> 0:52:20.400 Arbindo Chattopadhyay And then publish it. There is some more time required in Viva topics just to do some change management activities such as training users, making sure they understand what topic is. 0:52:24.200 --> 0:52:28.90 Arbindo Chattopadhyay Can I tie to AD roles via API graph? 0:52:29.80 --> 0:52:30.230 Arbindo Chattopadhyay So if you can. 0:52:30.310 --> 0:52:39.760 Arbindo Chattopadhyay Ohh elaborate on that topics uses the AD roles and it both topics and syntax. 0:52:40.640 --> 0:52:42.870 Arbindo Chattopadhyay It respects the security. 0:52:43.680 --> 0:52:49.870 Arbindo Chattopadhyay And it uses the roles and user information in the graph to identify subject matter expert. 0:52:57.980 --> 0:52:59.610 Michael Gannotti That's all the questions I see. 0:53:1.370 --> 0:53:1.800 Arbindo Chattopadhyay Awesome. 0:53:2.320 --> 0:53:6.90 Michael Gannotti All right. Well, I want to thank you arbindo for today. That was great. 0:53:7.490 --> 0:53:18.490 Michael Gannotti Well, I do see Andre is typing, so we'll see if he pops. Question. But there's been a great session and I do want to remind everybody, I'm gonna share my screen real briefly. 0:53:19.760 --> 0:53:43.300 Michael Gannotti That following today's presentation, you'll be able to go on to our site at AKA dot Ms Slash HLS blog and we will have. It might even be today. We'll have the session up. I can tell you our next Viva monthly live. I've lined up the principal program manager. 0:53:44.280 --> 0:54:2.660 Michael Gannotti For Viva goals. So that's gonna be exciting. One that'll be the end of next month and end of November. So please be on the lookout for that. Post an announcement. We I have a call with him this week and we're going to nail down the specifics on that, but. 0:54:3.430 --> 0:54:8.980 Michael Gannotti That's what's next. And again, you know that upcoming announcement and all is a. 0:54:10.920 --> 0:54:21.740 Michael Gannotti On our blog. So with that, thank you everybody. Have a great day. Have a great week. Stay safe out there for Halloween and we'll see you next time on Viva monthly live. Thank you. 0:54:22.100 --> 0:54:22.630 Arbindo Chattopadhyay Thank you. Continue reading...
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