Recording – Viva Monthly Live! – Viva Topics and SharePoint Syntex with Arbindo Chattopadhyay

Posted by

This post has been republished via RSS; it originally appeared at: Healthcare and Life Sciences Blog articles.

Viva Monthly Live.png  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:

Thanks for visiting – Michael Gannotti   LinkedIn | Twitter

me.jpg

 

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.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.