Introduction to M365 Copilot | #CopilotChronicles

Key Takeaways

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be respectful of other people views understanding their differences be kind and considerate in a way we all engage yes we do encourage you all to participate please drop all your questions in the chat section and we'll pick it up from there and now I would like to bring in JN our speaker for today's session hey hi J how are you I'm doing really well thank you so much for giving me an opportunity to be on this platform and interact with such a wonderful audience over here uh on behalf of a Microsoft reactor so just to give a pleas to have you yeah so just give a quick introduction about uh myself so um T my name is Jen Singh bakshi I'm a technical specialist in Microsoft India or working with the technology known as modern workplace and uh today we're going to talk about Microsoft 365 co-pilot which is one of our core resource uh of modern workplace going to suggest you how the Microsoft 365 copilot is empowering the uh different industry verticals of um of of the industries and how this is something which can be a GameChanger in the future it is already a GameChanger but how it is going to transform the work culture that we're going to discuss today sounds exciting the floor is all yours absolutely thank you so much for that part so let's start with this uh the introduction of of Microsoft 365 copilot so um many of you might have used uh chat GPT or the llm language model in the past right uh the same level of power the same level of uh uh infrastructure the same level of robustness is there with the copilot it's only just now it is embedded with your Enterprise level of a softwares or the Enterprise level of uh resources day in and a day out we always go ahead and use our emails we go ahead and use our uh teams we use uh word PowerPoint and Excel So today we're going to discuss how this all can be embedded using a artificial intelligence how the artificial intelligence can transform the entire ecosystem more likely how the calet can become your uh virtual AI assistant uh which can Empower you in in your day in a day out and then uh at the end of the day it can actually save the time and give back the time that you are actually spending in your most of the crucial task every day so with this particular part U I always start with this very wonderful slide we say that uh now Microsoft is is uh committed towards an artificial intelligence or I would say a responsible AI uh with this particular part we have a multiple rooms of the houses that you can see over here in a in a circle all these rooms of the houses are now empowered with an artificial intelligence or we call it as an a copilot so copilot what exactly is it's most like a SAS based technology which you have to purchase most like a plug and a play thing everything and anything you have inside your organization inside your business copilot is going to help you out to transform that entire thing with this particular part let's start with the very first section which is how copilot is actually different from llm language model any uh uh uh any any public artificial intelligence model which is available maybe that could be a chat gbt anything else how the copil is different from them so whenever we actually use a co-pilot we can see that uh there is a one thing that's common is is is it's actually use a prompt that we going to give to them to trains so what exactly that means is sometimes there could be the situation where organizational information is actually getting uh publicly available uh via chat GPD via llm languages model that you are utilizing or there are no extensive data protection models which has been put up on top of it from an Enterprise grade of a level so to make sure that the robustness the power which chat GPD or any LM language model go ahead and give it to you why not harness that to your Enterprise level of a security why not harness the power of that uh solution to your day-to-day tools that you actually go ahead and use and then build something which would be working work working in a secure parameter so with this we say that we always say that and and we everyone in Microsoft is is committed towards security everyone in Microsoft is committed towards the trust and we have a famous slogan over here Microsoft runs on trust and with with that slogan we say that your data is always going to be your data we are not going to use any sort of data that your organization has to train our co-pilot ecosystem to train our uh models that are running or the algorithms that are running behind the copilot and how this can actually uh be beneficial to you in a secure parameter that I'm going to discuss that I'm going to explain in our coming slide so with this particular part let's start with the co-pilot for the Microsoft 365 there are four fundamental pillars on which the co-pilot for Microsoft 365 is actually built upon the very first part is a large language model day in a day out all of us are actually going ahead and utilizing it maybe as simple as that if if I'm on a vacation trip and I have to understand some of uh the uh maybe key points of the destination where I'm exploring into uh I can simply go and ask the co-pilot or maybe can go ahead and ask chat GPT in a public preview so it is beautifully going to uh give me an answer like a tour guide to me now the same thing we actually have done and made sure that uh that is empowered over here to your Microsoft 365 ecosystem so with this particular part the next thing along with the large language model is the Microsoft graph or your organization data this is what a game changer in a copilot is what exactly your graph or your Microsoft graph is assume that if I I search anything on chat GPD or llm language model what it do is it will go to the Web Internet it will search some information over there and then going to uh give me a response back in terms of that information what if I say to you that now that information or that grounding or the indexing part which chat GPT is doing in the public preview over an Internet that can be done onto your organizational data as well so that is basically your Microsoft craft so that means whatsoever data on which you want the copilot to go ahead and search on is basically a Microsoft craft and then the skin in the game over here is the Microsoft 365 applications from there I'm going to give a prompt to my co-pilot the copilot is embedded in each and everything it would be there in your word it would be there in your Excel it would be there in your PowerPoint it would be there even in your teams as well as Outlook a simple uh a simple uh uh example for this one is I will simply go ahead to one of my Microsoft 365 application teams and we'll ask over here um how many co-pilot sessions I have done in the past now what exactly the copilot is going to do along with the llm language model over there is it is going to do an indexing from my organizational data with my organizational data further to the data which is relevant to me which is relevant to Jen so what it is going to do is it is going to check my calendar it is going to check my meetings that I have done it is going to check my emails it is going to check all the documents that are related to the sessions which I have done in the past for the copilot so this would be the entire uh uh transformational uh journey of a co-pilot which is going to give us answers back using different Microsoft 365 applications and then yes uh uh definitely there would be a web browser part also which is going to come as well as the web web internet part which is going to give us an answers that are not actually there inside our organization and we see information from an internet or maybe from the public internet part with this part let's let's jump on to the further part where we going to discuss about the Microsoft 365 copilot in a deep dive manner so as as uh many of the organization U are moving towards an artificial intelligence or many of the organizations are adopting uh for for the tools that are providing an artificial intelligence how Microsoft is actually different from these or how exactly Microsoft says that the tool that we are providing to you are actually secured they are compliant they are related to your privacy policies or actually they are built on the responsible AI principle that's the F that's the first and the foremost fundamental thing over here whatsoever security if you are already a Microsoft 365 user or you are already utilizing a Microsoft 365 ecosystem the security that you already have over here on your uh maybe the storages Cloud storages that you have in terms of one drive in terms of SharePoint online in terms of team SES in terms of the data sharing policies in a B2B or a b2c collaboration part the same Securities or the same compliance policies can be harvested over here the same can be inherited over here and the same policies can be utilized to make sure that whenever the calet is going to jump into the picture whenever the copilot is going to be utilized over here the same compliance policies are actually getting met and the same compliance policies are actually getting utilized over there yeah Justin uh your slides are bit uh Frozen I guess you need to bring it back to the screen again sure sure sure let me do that I'm really sorry about that yeah it's working yeah you need to go to the presentation mode yeah yep wonderful wonderful okay so coming back again uh to the uh to the part where we say that the comprehensive approach that is uh with the Privacy with the security with the comp compliance as well as the responsible AI now with this part uh let me showcase you a beautiful video an example of what uh Microsoft 365 can bring in to your organization to your everyday work and how it is actually transforming the industries vertical from from different perspectives after this we will definitely going to jump on to our live examples as well where I'm going to Showcase you how the co-pilot is going to work with a different Office 365 Suite resources straight to the top never going down wait for the drop you don't see the video are you able to see the screen now yeah we can see the screen but it in a presentation mode we don't see the video Let me let me reshare it again sorry about this team let me share my entire screen so that it would be more easy I hope you're able to see the screen now yep wonderful you need to select the presentation mode yeah yeah is it good great [Applause] St minute away the snakes and fakes chased out back to back to back I Chang the pace now had to stack the cash straight to the top never going down don't wait for the drop m so with this uh particular part uh uh Microsoft 365 co-pilot is actually made up of of of a architectural part which is known as a co-pilot system so whatsoever I have shown to you in this last video uh is based out of a copilot system now what exactly a copilot system is this is more like a architectural diagram where it will tell you uh from a technical standpoint how you can make a grounding how you can ask the pile it to search on what sort of a data what resultants you want to get it how in the back end it is working and then using this particular uh architectural diagram you will get a fair enough of an idea how this can be fitted into a multiple levers into the multiple departments into the multiple engagements across all the industrial verticals so let's see that and then uh we will go ahead and see the multiple examples of here as well Microsoft 365 co-pilot is powered by what we call the co-pilot system a sophisticated processing and orchestration engine it harnesses the power of three foundational Technologies the Microsoft 365 apps that's word excel PowerPoint Outlook teams and more the Microsoft graph that's all your content and context your emails files meetings chats and calendar and a large language model or llm a creative Eng capable of parsing and producing human readable text all accessible through natural language it starts with a prompt from you in an app co-pilot pre-processes The Prompt through an approach called grounding put simply grounding improves the quality of the prompt so you get answers that are relevant and actionable one of the most important parts of grounding is making a call to the Microsoft graph to retrieve your business content and context co-pilot combines the user data from the graph with other inputs to improve the prompt it then sends that modified prompt to the llm you may be familiar with what an llm can do based on your experience with chat GPT or Bing chat co-pilot takes the response from the llm and postprocesses it this postprocessing includes additional grounding calls to the graph responsible AI checks security compliance and privacy reviews and command generation finally co-pilot sends a response to the user and commands back to the apps co-pilot itera processes and orchestrates these sophisticated services to produce a result that feels like [Music] magic great so this is a high level uh of an architectural diagram I would say of a Microsoft 365 copilot and if I start from from from um left hand side to the right hand side side um you can see that uh there are skin in the game over here are the M365 applications from where the prompt will actually going to be start or the user prompts are going to be started over here and uh just take an example maybe of of a of of certain data that I want to have as a cracks of email some of the files of my organization uh finances that are there in terms of excel some of the Sops that are there of my organization in terms of word some of the uh presentations that I have to go ahead and present to my management chief of an organization what I did is I simply went ahead to the Microsoft teams asked the co-pilot chat over there hey chat can co-pilot can you please go ahead and give me a resultant based on a mixup of all these four applications of a particular project where I was working from the past three month what what the copilot is going to do over here is as soon as the user is going to give a prompt it is going to modify that prompt in terms of a language which the llm language can understand then post that llm language is going to make a grounding as well as the pre-processing and the post-processing over here what exactly that means over here is understand it maybe from a context like an index uh that's exactly the same over here with a semantic index anytime we open up any book we always go through an index and we see that on which page what chapter is on which paragraph you want to actually looking for is on what kind of a page the same is going to happen with the semantic index where it is going to understand where the data is reiding which all data is relevant as per The Prompt that the user have asked uh how to uh compress the answer of that that data so that it should be coming in a more robust unified or a simplified way for the user so that they can go ahead and they can go ahead and understand definitely there would be some of the uh cross responses also across questions cross answers as well which are going to happen between a user and a copilot based on the resultant that they wanted to have but this would be a overall architectural part this would be an overall processing part or a processing engine that is going to work behind a M365 copilot and over here Microsoft graph is something which is going to be playing a very very crucial role why because this would be the data on which my copilot is going to uh run a command Zone this would be the data on which my copilot is going to do a grounding on this would be the data on which my co-pilot is going to seek the results from so how beautiful it would be the the things that I'm going to ask today in a public language model or or the llm language model which are available in a public preview if I go over there they search something for me from an internet now that is going to be changed and that is going to be a uh exclusively from my organization or maybe a blend of both maybe from a public internet or maybe from my organization or maybe the both of of of that so this is a power of Microsoft 365 co-pilot that we have built up of on all the M365 applications that the organizations are utilizing today now with this part a lot of uh things that comes to our mind whenever we actually think of co-pilot how the co-pilot is going to transfer or Empower every end user that is residing in any of the organization so multiple departments are there inside every organization even if we talk about a manufacturing organization we are talking about an itus organization we're talking about a bfsi organization or maybe a health health or a pharmaceutical organization everyone has a marketing team they do have a sales team they do have a customer services they have Finance they have operations and then going it to the HR who is managing everyone of them and then hiring other Talent or the resources which are required for my organization every Department actually deals with a different kind of a problems every day what if I uh get something for them which is working for them which is safe saving their time which is uh making them more efficient which is making them more productive and at the end of the day if they are spending three hours on a particular task they might be doing two hours on on that task and then one hour we're going to give them back and States this is a time where you can learn something new this is a time which your personal assistant co-pilot has given you back that that you are actually saving with so let's start with the very first part on the marketing section uh majority of the teams U or or majority of the organizations who have the marketing teams they they do a lot of creative processes they generate the ideas they generate how to uh maybe uh fire up the sales of any organization how to uh get a new resources for the organization how to retain the resources how to actually make a brand of the organiz how to make a brand image of an organization so with all that part they have to start something from the scratch so whenever someone start from something from the scratch it will always a good idea if they can have some base setup at least so that is where the copilot is going to come into the picture it is going to tell them how you can maybe start something from a base how you can actually go ahead and see something from a base how you can actually uh do with the uh resources every day you are working with so this is a very first example of a co-pilot in a word where we are transforming the writing efficiency as well as the creativity of a particular user and in this example you can see that the person was actually working on a in a real time on a file and they have to create some of the certain task as as uh related to some of the uh maybe related to some of the processes they are uh they are making some of the ideas they are generating and very beautifully they have asked the co-pilot over here to go ahead and uh achieve that for them and what the co-pirate has done is it beautifully mended some of the task over there decided the timelines and then suggested some of the owners as well based on the uh based on the task which the marketing team is per performing on with this part another thing of a co-pilot here could be let's assume every day you are dealing with a lot lot of a Word documents and these Word documents are of maybe 100 Pages 120 Pages 130 pages or if maybe I will simply take an example uh some of the Sops that are coming to you some of the uh documents which are coming to you for a for a review part or maybe as simple as that is some of the documents that are coming to you to check whether the grammars grammar or or or or the uh writing style is correct as per your organizational policies uh co-pilot would be your savior over here you can simply go to the co-pilot for the word open up the word document open the copilot and ask a copilot to do that task for you within a few seconds the copilot is going to do that within that part the calet is going to make sure that everything is done within the seconds and that actually feels like a magic over here with this part let's move on to the next example uh which would be there for maybe a sales team so over here you can see that that sales team uh in any of the organization actually uh deal with a lot of emails from their clients they deal with a lot lot of uh uh uh meetings conversations that they are doing they are they they actually deal with a lot lot of uh uh maybe uh uh tools that they are working on in terms of CRM in terms of Erp in terms of any other tool where they are managing their entire organizational sales what if I say to you that whenever any email is coming to you in an Outlook you can actually go ahead and summarize that email and based on that email whenever you are actually scheduling a meeting with with your customers with your partners with your maybe inside teams you don't need to now take a meeting notes manually copilot is there to actually take that for you so this is one of the clear example where the co-pilot is building up a notes in a real time and along with that it is also going to give me a references at which point of a time what was a discussion that happened take an example someone discussed about a cling a very crucial deal which is high in numbers that is based on AI maybe that is based on um uh based on chat GPT based on Microsoft 365 what what was the main discussion point over there so we can simply ask that to the copilot and it is going to give me even a reference as well at what point of a time at what time who has actually went ahead and discussed that with this particular part we also uh going to give an add-ons that are going to be tightly intact with the Outlook client uh take an example if someone is uh calling to me and I'm getting a lead from there a very simple example of of a sales industry um we get a lead we we we create that as an opportunity then we convert it to a customer and then we deal with them so this is a process every organization in in in in the sales perform as soon as you are getting an email or a call from someone earlier you have to go to your uh maybe uh customer relationship management tool or the entity relationship management tool and you have to feed the information over there but that would not be the case with the co-pilot now your AI assistant is going to fetch out all that information by the on so the co-pilot for the sales that will be tightly integrated with the CRM tool in the Outlook is no now going to get that it is going to automatically fetch out that data and feed that in your CRM system so that whenever next time you're going to work on that opportunity the data is there a simple example maybe if I have to explain this with in a lman language let's say Jen is calling you and he's inquiring about Microsoft 3 65 you just have to uh and and while calling he also sent out an email to you with all the details of his contacts requirements and all that you just simply need to tap on Jen name and then uh say that this is my contact for this particular opportunity add it in you don't need to do anything manually everything will be automated all the information will be picked up by the CRM Outlook Tool uh using this information so with this particular part let's uh jump on to the next next example which is a customer service and this is a great example of a copila in teams also uh many a time what happens is uh you know we have to uh stay organized or we have to top on all the meetings the calls or whatsoever discussions that are happening in in in a day-to-day part uh or or maybe something that is related more toward whats a meetings that we are actually doing in a day-to-day so with this particular part what the co-pilot and the teams can do is if uh we are doing a live meeting uh the very first thing over there is uh if I want to have a transcription of that meeting ready for me I can do that the kobal is going to take care of it along with that if I want to let's say there are multiple meetings that are happening and as working with a Microsoft uh Microsoft team on a technical role I usually get a lot a lot of overlap meetings so it's not possible for me as a human to be uh be up to date with a lot of meetings uh at a same point of a time or be up to date with all the meetings at a one single point what I do is I will say to the co-pilot to follow this meeting and then whenever that meeting starts if I'm joining it late let's take an example there is a meeting which is happening with the leadership team and we are discussing how to actually present the co-pilot 365 to the audience or maybe to the different verticals of the industries so in that if I join the meeting 10 minutes late what I will do is I will simply go to the copilot click on the co- pilate link over here and we'll ask and give a prompt what's the latest or what's the uh summarization of a meeting so far what's has been discussed that which is relevant for me is there anything specific which is more relevant to me or my name has been discussed I can give that prompt within a live meeting it is going to give me that these all are the four or five points that has been discussed in the past next section items are these which would be relevant for you so a very very useful tool when you are overlapped with a multiple meetings when you are uh when your calendar is actually overbooked with the multiple meetings how you can actually go ahead and do that and with this particular part a lot of the finance teams are actually dealing with the complex data problems or maybe the complex Excel files that they are uh solving day in a day out so they deal with the heavy heavy files uh they create some of the uh uh formulas in the back end of the Excel and then uh uh do some of the calculation based on that I'm not really great in the Excel so in my personal opinion or in my personal space whenever I use an Excel what I do is I always use a co-pilot and ask a co-pilot to do that complex task for me let's assume that I have a sales data that is there from approximately four or five years and I have to find out some of the uh key products that has made a profit from of a particular Year from year one to year five I have to find out on a first year which was my hero product and then on second and then third and consecutively on the fifth using a co-pilot for an Excel what I can do is I can simply give a natural language prompt give the product name on which the data has to be found out beautifully it is going to create a bar graph for me and suggest me that this is the data which you are able which you are finding out and then based on that data I can present it maybe in a powerbi or in any other tool so the formulas that I was putting up the data that I was actually putting up over there before to solve the problems of the finance now that are not existing anymore I can use the co-pilot I can use the prompts in the co-pilot I can ask a copilot to do that task for me and even if there are some complex problems in in in Excel files which I want to uh resolve and I don't know how to resolve that I can simply ask a copil how this can be done and very beautifully it is going to help me out with that step toep baby steps that this is the way using which you can go ahead and resolve this so this is one of the example of an operations plus sales U where the person is asking for a forecast of the of the forecast for the next four quarters of a particular product uh using different numbers different sales different formulas different sheets so all of this can be done using a copilot over here and then uh many a time what we see is uh um I don't know how many of you actually have gone ahead and use Microsoft Loop a very very powerful tool whenever you are working in a shared projects or in a project uh tracking part uh so with the loop uh we can actually use a cop it over here we can Define some of these specifications like over here in this particular example uh there are some technical specifications along with the performance requirements that are required to have a project on we can create that workspace we can use the tool we can immediately get some of the ideas from the copilot we can Define or we can even set up some of the recommendations as well as the timelines as well in the loop that we'll be going to be empowered by the copilot so each and everything that we are discussing over here now is empowered and embedded with the art artificial intelligence which can be helpful to you which can be serving more like a a personally assistant to you which will be beneficial and uh here is one of an example of a copilot you know uh let's take an example I I I I I noted down some of the notes and then um there are some of the uh there are some of the uh uh Pages which I have to go ahead and create maybe based on my organization based on the rules which as team is opening up based on some sort of of you know resumes which I have to work on what I can do is I can simply go to the co-pilot this is a particular example of a one note where the person is trying to create a organizational information now what they are doing over here is they are generating some sort of an ideas if I'm running out of an ideas simply ask go to do that for you working on that project defining some of the information about the organization and getting the things done with this part uh let's jump on to the uh live examples I think uh uh this would be very very interesting for you to understand how the co-pilot actually go ahead and work in each and every part so starting with this part uh Excel is the most uh uh exciting thing for everyone the most demanded thing the most asked Thing by every uh uh person who wants to use the co-pilot so let's start with the Excel part over here so in this particular part what we are saying is we have to analyze the data the organizational data based on the quarter business results and summarize some of the key trends I simply gave that prompt over here to the co-pilot and then doop pilot is actually going to break down that and then give me the data sets which would be accurate for me and which I have to go ahead and present to my management and this is something uh which is going to also help me out to apply some sort of a label some sort of a color some sort of understanding how this entire uh thing has been made in so this is one of a clear example about that I don't know many of time uh if you ever have created some of the models but uh this is a clear example using which you can even be a champ of creating some models as well on the data uh based on the uh data sets that you have based on the uh data that you want to work on based on how you want to actually go ahead and present the data so this is about a Microsoft Excel now let's jump on to the another comp component which is a PowerPoint majority of the time whenever we actually go ahead and create the PowerPoint slides we have to either deal with the you know data that is that is maybe there in word maybe it is there in a notepad or maybe we just have thoughts in our mind now what we can go ahead and do is we are uh empowering PowerPoint and we are saying that if you have any word document uh which is consisting of your uh data on which the power the presentation has to be made on you simply ask the copile at PowerPoint hey here is my data in a word go ahead and create a presentation out of it very simply it is going to read that data whatsoever is there in the word format and then create a presentation for you similar to that you can actually come to the PowerPoint in a blank presentation and ask a co-pilot to create something for you as well so this is a clear example for that one let's say you're getting ready for your customer pitch meeting everyone has had a moment when they wish they could turn their proposal into a customer ready presentation without having to start from scratch now you can using just your own words co-pilot can translate word into PowerPoint you can also translate PowerPoint into word now you have a professionall looking presentation that you can hone and polish let's say you want to add a slide give co-pilot some quick instructions there it goes ready for you to review so this slide is too wordy let's ask co-pilot to make it more visual give it a few seconds and check this out co-pilot can even animate the slide it gives it a professional design treatment in a single click but it doesn't stop there co-pilot even generates speaker notes for all your slides it's not only a timesaver it's helping you be a better presenter so with this part uh now the other example over here is the copilot in the word the similar thing which I showcased to you in the past two slides where we are summarizing the documents we are generating some of the new ideas we are creating something from the scratch we are becoming a pro in that particular uh particular resource in that particular uh thing that we are utilizing so in the co-pilot in the word the similar thing uh I'm going to present how you can actually start something from the scratch how you can actually build something for you how you how how the Microsoft 365 artificial intelligence and all these things are going to help you out to save the time and to become like a pro co-pilot in Microsoft 365 can help you unleash creativity at work imagine you need to create a rock solid proposal to win the business and you don't have time for writer's block you can use co-pilot to draft a proposal based on your customer notes in one note as well as another internal document co-pilot scans the target files and gets to work quickly generating a first draft with all the key details from the files you provided now let's say you want this to look like your previous proposals co-pilot can give you a draft in the format you typically use it inserts product images and pulls in relevant visuals from other files you can include a short summary at the top of the document and co-pilot can make suggestions to strengthen the proposal like adding an FAQ which it will generate for you to refine with this part let's see uh how the co-pilot in Outlook basically go ahead and uh uh work for you how the copilot can actually uh help you out to be on top of all the emails that you are getting imagine you are getting a 100 100 emails every day and you are coming back from a 10day long vacation and there are approximately 500 600 emails that are piling up on your mailbox you don't need you don't understand which email is important for you which email you have to reply first the co-pilot going the co-pilot in the Outlook is going to be a savior for you it is going to suggest which all are the emails which are highly important which you have to have reply without having any sort of a delay where where are the emails that are least important which all are the emails where you just have to maybe look at and then reply based on on on the uh importance of that email so where how the copal is going to work let me showcase to you of that and then with this particular part as all the copilot that that I have showcased to you were able to generate something from the scratch so with the emails also that could be possible where the copal is going to give you a coaching how you can go ahead and maybe uh you know uh send maybe reply to an email how you can actually draft an email or even at a drafting of an email you can Define what should be the tone of an email what should be the length of an email what should be the uh structure of an email which you are sending out maybe it is sending out to your you are sending out to your colleague maybe you are sending out to your partner to your customer or maybe to someone who is higher in your organizational level so let's see on this particular co-pilot and Outlook helps you stay on top of email you have important emails to respond to co-pilot can help you separate the signal from the noise and give you hours of time back it helps you triage your inbox so you can prioritize the most important emails and co-pilot helps you on the go and Outlook mobile it can summarize long email threads you can draft a reply use data from an Excel file and co-pilot will generate a reply for you you can edit it you can make it more concise change the writing style or add more context now all that's left to do is review the proposed response and hit send it's a productivity GameChanger so this is one of my uh favorite the copila in teams live meeting how we can actually make sure that uh we are uh using the teams at the fullest level how we are coping up with all the missed items how we are actually getting on top of whatsoever has been discussed in the teams meetings so with the without wasting any time let me showcase you the co-pilot in Microsoft teams co-pilot and teams makes every meeting a productive one here you're in a meeting with your team you can ask co-pilot to summarize what's happened so far co-pilot summarizes who said what and what points were made capturing the spirit of the discussion and as the meeting progresses you can check in on where people stand you can even ask co-pilot what questions are unresolved it is just amazing to see this happen in real time during a meeting and then the uh the one if we have the meetings that are already recorded and there are some of the Recaps on which I have to work on how calet is going to work with you to create some of the mom the meeting notes uh understand the transcriptions how you can actually be more productive with the meeting notes as well imagine you have an appointment that conflicts with your weekly Business Review what if you could do both with co-pilot you can opt to follow a meeting after the meeting ends co-pilot will summarize what you missed you'll get a notification in teams when the recap is ready this recap will highlight content that was shared summarized notes and any action items for you or others whose names were mentioned you see that one of your customers was discussed and you want to learn more you can ask co-pilot clarifying questions and it provides a detailed response it can tell you why a certain decision was made and gives you helpful context you can even ask co-pilot what other Solutions were considered and it provides citations from the transcript so you can see where co-pilot Drew these conclusions it's a huge time saer so with this part uh this was about uh Microsoft 365 copilot uh I assume that there would be a time for some of the uh questions as well uh so par uh do we have any any questions any comments from the team where we can actually it was a very very great exciting uh session uh thank you Jen uh please do drop questions in the comment section and we'll pick it up from there as of now jine we don't have any questions come up great I think uh uh this is one of a a best team that is not throwing any question and just listening to whatsoever we are saying folks final call to ask questions folks please feel free to drop a question there is no wrong question over here uh just just let us know if you have anything in your mind more than happy to answer that for you we have specifically freed up at least 10 minutes over here to just answer if there is any sort of a question wrong from the viewership meanwhile I like to share a link which can help you to take the learning further which is an introduction to the Microsoft copilot [Music] 365 yep here we go so there is a question from tarun um Jen you there yes yes I can uh see okay how we can actually go ahead and use the copilot and power bi um so there are different sets of a copilot uh today we were discussing about a modern workplace copilot in a visualization tab also there is a copilot which is going to help you out over here so in a powerbi if there are some sort of a reports which you are working on there are some some some sort of a visualization tools which you are utilizing or some visualization patterns which you have to go ahead and follow copilot can actually help you out to craft that for you it can help out to understand that in a deep Manner and how you can actually go ahead and project it in your powerbi slides so yes the powerbi uh copilot as well uh can there is another question um from sanjie I hope tun I have answered your question so yes there is a power VI copilot as well it is uh with a different technology but yes there is a copilot uh sanjie you can your question is can this minting would have been handled by a co-pilot uh um at a partial level yes but understand this technology from a standpoint that no technology can actually uh be more than a human brain so uh to start something it's always a a human brain only that has to work on and then uh uh work on on the on on the situations and then give the commands to an artificial intelligence what has to be done over here okay so what's the difference uh there is another question that is coming from uh wami Krishna uh the differ you are asking about what's the difference between a git copilot and a Microsoft copilot so the copilot that Microsoft 365 co-pilot uh that we have discussed today is actually a SAS based technology uh which is for more like a collaboration and uh productivity so every day you are using teams you are using emails you are using PowerPoint you are using Word Excel so this copilot is going to work on that whereas on the other part the git copilot which you are referring to would be more like going to give you a suggestions from the development standpoint how you can maybe develop some of the products how the development can be done using the uh GitHub copilot how the programs can be generated and all that part so this would be the uh difference between the two yeah so vami Krishna again actually I did a one of a a good question over here for a devops how it will be useful so there are different sets of a copilot copilot ofish if you can refer to the uh starting of the slide Microsoft has multiple rooms of the house and then this uh uh uh then then in all the resources or all the rooms of the houses are M of Microsoft ecosystem are now empowered with the uh artificial intelligence or a co-pilot at some places there are the SAS based co-pilots which are available definitely at a same point of a time we are also providing you a platform known as a copilot Studio where you can come forward you can create your own kind of a copilot and there are publicly plugins available which can be connected to any of the data source any of the uh uh any of the uh uh you can say resources any of the applications which you want to go ahead and use so it's as for you if you want to create something of your own something that is uh tailored fit as per your organization uh we do have space for that as well in terms of copilot studio in terms of generative AI yes yep I think we had some good questions yeah yeah and let's call for a wrap justly absolutely thank you so much uh Team for joining this session and uh a big thank you to par for uh arranging every everything on for this meeting and uh getting everything done on the time yeah sure thank you Jen thank you everyone thank you so much