Lightup Virtual Conference - Keynote: Coordination is the Future of O365 - by Peter Ward
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Nov 16, 2023
Welcome everyone to Lightup Virtual Conference! A 24-hour fundraiser Live Conference with speakers around the world speaking on Microsoft Technologies. Full Agenda: https://www.2020twenty.net/lightup #csharpcorner #thetechplatform #live #fund #unicef #microsoft #global #lightup
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0:30
Thank you
0:59
Hey, guys, and we are back
1:20
How's everybody doing? Doing well. I'm doing fantastic. I mean, being a part of this team
1:29
and I think we have already had an amazing session till now
1:34
and looking forward for another, I think, 18 hours. All right, everybody's awake
1:43
Yes. I mean, it's great to, you know, be a part of these kind of events
1:49
and I never, ever heard it like, you know, the 24 hours event is going on and I'm the part of it
1:57
like I heard it very first time I attended it that's a big event there you go that's good and
2:05
how's going Manpreet everybody good with the you in Philadelphia that's good see behind me seven
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people speaking all together they're ending the session 10 minutes the sessions are gonna end and
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everybody's gonna switch to the keynote speaker so what's that so many machines open there yeah
2:25
can you take us behind the scene can you move your camera or no no let me try it hold on
2:32
there we go full screen all right so what's going on there you have a bunch of laptops there
2:39
right so all the tracks are running all people are still in the back end they're speaking
2:47
from africa amsterdam india malaysia singapore everything is live up here That's awesome. And then you have a big monitor there? Right. And I'm monitoring them in the back end
3:02
We have producers, multiple producers who are making and helping this event go live. Thanks to
3:09
them. I am just helping them out if they have any issues and things like that. Hopefully you don't
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lose power huh? Yeah that's the thing. That's amazing. If I lose it, I'm gonna come to your house
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Sounds good. All right guys, so how you guys let's start this. You know, we have a few minutes before
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Peter comes for the keynote. What is your let's talk about each of us should give at least one or
3:37
or two tips how are you handling this COVID situation and how are you keeping yourself
3:44
motivated you know keeping yourself you know exciting and you know not like down and what
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do you do for just keep getting things going on start with you Simon oh my goodness I thought
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you're gonna say Simon would be the last no youngest first oh okay so I think during this
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pandemic for me it has been really fortunate that I have got this opportunity to work with the C
4:10
Sharp Corner team and and my job role is more something that I really love it I mean I do live
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shows I work with this virtual conferences and all so this this pandemic for me has come to me
4:22
as a blessing in a disguise where I can connect with people from across the globe I do live shows
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I connect with them. So one thing is this pandemic has brought that I'm more connected to people than ever before
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So that is one thing that is keeping me excited. And I'm connecting with new people
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So, of course, that keeps me motivated. And second part, when it comes to me, is that I do miss doing some workout
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So although I have my belly bulging out now, but somehow, sometime I would manage to go to terrace
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or maybe just go out and take a walk or maybe go on a race of cycling
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That's how I do it. But I think, as I said in the beginning, I'm very fortunate for what I do on full time
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because I'm more active than ever. So that's great for me. All right, Manpreet, where are you
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He's gone. That looks like someone is mining. So what are you doing besides this conference
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to keep yourself, you know, motivated? conferences and discussions like now there's so many virtual again speaking is happening around
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the world so that's one thing i love running i run almost every single day i'll go for around like
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a four or five miles every day that and the little bit work out at home i think that's keeping me
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busy and I'm trying to write a book so that's a lot of effort. What book you writing? I'm writing
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something on artificial intelligence so that is something going on. You can do that people don't
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have work now right now people are doing their jobs and you cannot just bring AI in between
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AI is the future. It is the future, but let's live in the present right now
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We are basically humans now. All right. Let's be better human. Right
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I think, first of all, Simon is saying, my tummy's going to come out
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I think physical fitness is important. People can start working out. I started doing yoga
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It's been one month now. I never did. Being an Indian, I never did yoga
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and it's so worldwide. And now when I'm... Even I never did it. Like, I'm still..
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Yeah, exactly. So I'm very addicted. I'll morning, I'll just get up and have to do it
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It's like an addiction. And you'll feel so calm, relax for that period of 20-25 minutes
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And then you know what happens the whole day. So, I think that's something new I have started doing
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Bhaskar, what are you doing these days? I mean, pretty much these both guys have already covered with him
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But I'll tell you something different. So for me, it's different. Good is
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Motivated by saying good is. So yes, I'm attending a lot of shows, a lot of events
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And I getting myself a lot of other time like to attending and learning new things like uh mantri was saying and other than this if you you know follow your timetable if you set your timetable nothing would be wrong
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right so if you wake up on the time if you go to bed on the time then everything is fine and i
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don't go outside so because of you know the art society has very strict rules and regulation not
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to go out wear masks if you go and that's it i think pretty much good to go then okay that's great
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that's great so yeah i mean we human are adaptable right we will adapt to the situations it's just a
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matter of time and uh you know hopefully everybody is staying safe uh people who are watching this
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conference thank you so much for joining us from wherever you are um let's get ready for the
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our keynote. You wanna go ahead Simon take it off from there. Yeah and I think
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let's introduce our next keynote speaker. His name is Peter Watt. Today we have a
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great keynote speaker for you. He's based in New York and one of the co-organizer
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of New York's SharePoint Saturday. He's of course funny and a great storyteller
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and he's going to give us some great insights in collaboration, coordination
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and the future of Officer 65. He is the founder of Soho Dragon
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New York and Ahmedabad MS partner, has been one of the fastest growing private companies
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in the USA for the past three years. He is the author of four SharePoint books
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and a columnist for Forbes. And guess what? The Soho Dragon are also hiring
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So let's cut to the chase and invite our next keynote speaker
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Thank you
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hi thank you steven thank you so much what a great introduction video very professionally done
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actually and uh well you know it's a great course and it's uh great to be the keynote for this
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covet 19 lights up virtual conference so uh as steven so i personally i just want to say thank
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you to uh manesh bashka uh and manpreet for just putting on this great event a real true global
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event so just so before i kick off the keynote in the private chat does everyone just want to say
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the country they're out there they're uh beaming in from okay so i'm in new york just in the private
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chat on the right just yeah yeah we we will be uh i think uh we're gonna be leaving you alone peter
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here just uh wanted to welcome you to the show okay and then uh take it from here and uh this
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is all you from here all right okay all right thank you i will be i will be there in the back
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into the field if you need anything but my husband and pastor with lee right i'm sharing the screen
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so you can see the screen yeah definitely i can uh see your screen and i'm going to bring your
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screen is the screen flashing a little bit yeah exactly peter i'm not sure what's going on let
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me stop that share try it again okay i can't wait yeah it's perfect now you want to bring it
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there we go okay could everyone hear me before or not i i can definitely hear you i know
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Did the attendees hear me? Yeah, attendees also hear you. So you can tell it's a live recording here
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No rehearsal. Completely unscripted, I can see. Yeah, because we have your, not the presenter view with you in the PowerPoint screen
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So definitely it's not scripted. Totally on that. All right. So Peter, next 50, 55, 45 minutes is all yours
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I'll have an absolute blast on that. All right. Thank you so much, Stephen
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So I'm actually based in New York. I'm on 30 Broad right next to the stock market
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And from what I can see, New York City is completely empty
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Everyone's either left the city or they're all working from home. So thank you for attending the event
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Does everyone just want to put in the chat about what country they're in, they're coming in from
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Okay, there's a private chat on the right. Okay. Don't all do it all at once
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okay so while that's going on i will then kick off then
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okay so remember you can denote donate to uh unicef which is part of the un
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okay got denmark in very nice okay that's the europe can anyone beat denmark here
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okay so these are the great sponsors soho dragon is actually also a sponsor
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i've got the united states are you east coast or west coast here john that's my question
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okay and then you got the opportunity for speakers feedback and the events feedback as well
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These were the QBR codes. Okay, so a little bit about myself
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Okay I could talk for days on this but I keep it brief Right so I am the founder and the CTO of Soho Dragon You know I done four SharePoint books written back from SharePoint 2010 I remember SharePoint
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2003. Those are the good old days, but even before SharePoint Designer, okay, it was a
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SharePoint portal and foundation. I co-organized the SharePoint Saturday in New York, and I also
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run a monthly meetup called Teams Tuesday. And that's actually happening next Tuesday, actually
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That's my only plug I will be giving you on this. I'm very old school when it comes to IT projects
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I like them on time and on budget. And my hobbies are yoga and vegetarian cooking
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All right. So we've got East Coast, Philadelphia, Denmark coming in on this
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okay okay so this is what i'm going to tell you okay okay i'm going to tell you about
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coordination okay and the future of obviously 65 okay everything i'm going to tell you about this keynote is on my linkedin profile so feel free to
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connect with me um or even following me following me on twitter and all the links and if you have
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questions about any of the GitHub projects I'll be talking about. These are all actually on
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I can give you the questions on my LinkedIn. Okay. So I'm going to be comparing collaboration
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and coordination and talking about the future of how this actually affects Office 365
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Right. And that is basically what the keynote is all about. And that's what I'm going to be
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explain to you for the next 45 minutes. Okay. So when we talk about collaboration
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let's just give me a few ideas. So in the chat window, come on, let's give a comment
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Let's have a few things about what exactly is collaboration. Can everyone just throw a few
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words in, into the chat window? About what they think collaboration is
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mutual trust, vulnerability, shared values, interdependent, long-term. Very much what
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SharePoint is, working together, that's very true. But yes, collaboration is that longer-term
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SharePoint, document management, record management, that's all long-term activity. Now, when you talk about coordination, okay, similar, what exactly is coordination
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so can everyone just throw in what exactly is coordination someone's asking what exactly is
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collaboration to you now for the americans on this call i will recommend to you the americans
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on this call i recommend to you basically um you know what i would say is there's a group called
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run dmc which had a big song um in the 80s does everyone know what that song is
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it was called walk this way okay and walk this way basically was um okay was two groups
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run dmc and aerosmith and they were talking about basically um you know sharing that group
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walk this way and that produced a uh a world uh uh a global album called walk this uh called
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we've walked this way. Okay. That is a great example of collaboration. Okay. Well, basically
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you've got two groups, two teams coming together, long-term goal, goals, and milestones. Okay. I'm
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just going to make sure I'm sharing the right screen here actually. So just bear with me a second
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Okay. Hang on one second. So I'm just going to stop my screen and let me share it again
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Okay. I think that's the deal there. I think that's working on the share screen
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Slightly a little technical issue. So what exactly is coordination? Okay, coordination is mutual respect, secure goals, independent, and short-term activity
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So even though communication, collaboration, coordination, they're similar, there's somewhat differences in what's going on
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So let's just compare and contrast. That collaboration, that mutual trust, teams coming together
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It doesn't matter what you say, I will trust you, or I'm giving you information, I will trust you
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With that respect, with that coordination is, well, basically, I don't really care what you're doing
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but I respect what you're doing. I don't necessarily need to know what you're doing. Vulnerability and secure shared values, shared goals
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Okay. So the end point will be different. Okay. With collaboration, quite often, basically, you're in different positions
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Interdependent, independent, long-term, short goal. So coordination could even be like a team coming together on a short-term activity
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Get the result done. That's it. It moves on. Okay. So, therefore, there are pros and cons to both
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Okay. So, if you – Soho Dragon, we have two offices, one in the U.S., one in the India
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We both collaborate together. We both coordinate together. There's different cultures, different values
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We respect and we actually trust each other. Okay. They don't just cycle on a bike all the time on everything
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Okay. So, Amish, this is a video of a pit stop of a motor car racing
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And this is a good example of collaboration. So you notice they're talking
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Notice there's management. 1950s. People standing around waiting for things to happen
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collaboration look at this this is same process this is coordination notice nobody's talking to each
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other everyone's standing in the same position no management so you notice let's just take a compare and contrast here okay notice they actually had
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automated tools here to help with the job everybody was standing around in their correct positions Okay okay and there was actually more people not less people on this project than in the previous video
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This was the fastest pit stop in the world that was recorded, actually. So in fact, if you actually
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collaborated on this process, you would actually have more problems and actually not talk, more
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problems talking to each other and collaborating then you won't share with coordination no one
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talked to each other there was no management the team was work the teams were working together
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okay on that short-term goal very much in sync yes right i'm keeping getting these messages wrong screen so let me just try this one more time
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right okay this is take three now okay you get like i said it's a live show uh on this
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okay um so can somebody um if someone can just say they're seeing the light the right screen here on
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this that that would be great speaking everything the right screen you want me to help you out if
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could yes but tech support here level one tech support coming in history right which screen are
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we seeing are we seeing the display screen or the other one okay here's what i want you to do peter
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right i want you to go ahead and uh start your presentation right go ahead and start your
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presentation okay let's go for it and click click on f5 and yeah yeah now you're done with that yep
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okay now come to the share screen click on application window you have three options your entire screen your application
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window and your chrome tab right okay you need to select that says powerpoint slideshow
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i got it very cool there you go look at that handsome young guy
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okay very cool so we just saw the video okay okay so here i am why am i talking about coordination
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all right okay because if you look at all the marketing material that goes on
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okay with microsoft it's all about collaboration okay collaboration with teams okay even the competition collaboration
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collaboration collaboration okay this is new york uh university nyu okay one of the you know best universities in the in
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north america if not one of the most respected in the world okay they talk about collaborate
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don't talk about coordinate it's management science for the last 35 years has taught people
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we need to collaborate more but here i'm talking about coordination and the reality is look at this this if we do a search and collaboration over 10 000 hits are
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web pages are actually displayed okay why am i talking about coordination is because this is the
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future of how we're going to work okay if you look at business dynamics teams are going to get smaller
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okay the clock is going to tick much faster and your output is going to increase that's been the
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trend over the last 25 years, and it's actually going to get much quicker, particularly with
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tools which I'm going to be referring to, and what people are actually talking about as well
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in today's virtual conference. So the communication landscape at the moment is about collaboration, 90%, of which 10% of it is coordination
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the future is going to be the other way around okay so there's one question somebody has said if these tools can be used
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to reduce meeting time and improve productivity i'm always excessive meetings it sounds to me
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john you're a bit zoomed out perhaps okay uh um on that but you're absolutely right and if you
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looked at that video we saw of the um of the most of the racing car okay nobody was talking okay
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everybody knew what they wanted to do everybody just did it and that's it game over they all moved
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on okay and this is where coordination okay and and it's going to carry today is because the speed
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and the velocity okay is getting so much and in fact you've actually hit the nail on the head
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We can't cope with so many meetings, particularly with COVID. You know, it's absolutely bananas to be working eight hours a day
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OK, and then basically working six, having six of those hours in meetings
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And then you let alone the emails and the IMs and the team chats and everything
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That collaboration is all very well, but it's just too overwhelming. It needs to be automated
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It's because the inputs that are coming in to how we do our work are just on the increase
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OK, so when is this actually going to happen? OK, you can see we're a bit sort of like struggling now with the with instant messaging and the emails and the text is OK
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But this is when that throughput comes in. So this is where you have like informal communication or process to a formal and then it has to become hyper structured
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And a good example of this is like a help desk, like a help desk
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You normally start off with email or so a point person. and it's like, hang on a minute, this is absolutely crazy
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Okay, let's have a proper help desk system, something like Zendesk or Freshdesk, okay
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Then that's your formal process. But that's all very well. Then you might want to have some certain automations going on
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So therefore, if we know an email is coming in from a certain company or a certain person, it could be assigned to an automatic group
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So that's a bit of automation. and also you could have a situation where wait a minute here a bit of intelligence here somebody
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actually this person raised a ticket um two days ago on this thing we didn't hear whether it was
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actually related therefore why don't we then send an automatic response to say was this actually
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related to your pre which a previous ticket um actually solved or not now when you come to that
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hyper-structured, this is kind of where you're talking about bots as well, where you're talking
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about the chatbots, where that chatbot is extracting information, making logical business decisions
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and feeding you that information back. So that's that hyper-structured part we're talking about
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Okay. And this goes on a bit more as well. But I also showed you a few slides of a lot of
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the marketing material about everyone's talking about collaboration. But if you look at some of these presentations that's going on
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people are actually talking about coordination, automation, but they're not, so we say mentioning it as much
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They're more talking about the technology. This one graph, API graph, by connector power, automate automation, the graph. Okay
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This is getting information from one system to another system. Automation, AI, artificial intelligence
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Okay. The Azure bots. I just talked about chat bots. Okay. Artificial intelligence, again, on this
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Okay. How to create your personal assistant with a Microsoft bot framework
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Everybody's talking about this. This automation, this coordination, because the throughput is coming so much faster these days
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You need tools and technical functionality of what people are speaking about right now to basically be implemented in business to reduce those meetings and increase your productivity
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So for that coordination to happen, you need these things to occur
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You need adaptability. This is where basically it's accepted within an organization, particularly the users
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So chatbots are becoming much more vogue. people are now acceptable and are more comfortable with talking to chatbots on websites and on
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intranets than they were two or three years ago. Okay. Scalability. Okay. This is important. It's
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because it's all very well implemented in it, but it needs to scale. One of the key things that
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technology does great in an organization is it allows you to streamline and scale
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And these were words you couldn't you didn't often hear in the same sentence
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But that's what technology can do. You can streamline and scale at the same time
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OK, that's when you've really got a powerful organization and you've got an IT department that can serve the business
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And it also needs to be self manageable, something which you can set up and it can just basically run on its own
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We at cost of ownership is much less. I put it in the cloud
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So basically, you can actually have Microsoft actually take care of the hosting of the technology rather than IT because it's 24 hours
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And if it happens to go down on a Sunday night at 2 in the morning, it will magically wake up and work at 2.30 in the morning
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So you need these three things for adaptable, scalable and manageable for coordination to work
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And if you look at that video of the Formula One car, OK, everybody knew what they were supposed to be doing
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Okay. The teamwork there was very adaptable. Okay. You could probably, um, use the same team
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It's not so probably you could, you could use the same team to have five motor cars coming in
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Okay. And then you could just repeat a rinse and repeat process coming in, coming in. So it's
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scalable, self manageable. Like I said, there was no management around. The team was just doing
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automatically. Okay. That's a beauty in that, you know, that's a beauty about coordination
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So these are the three things that you need to happen. Okay, so a couple of questions you might be wondering to yourself, okay
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what's this got to do with Office 365? It's actually got everything to do with Office 365
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and you saw that with a previous slide with some of the speakers. Okay, if you look at this current tool set that people are using
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I'm sure most people are aware of this. All of this goes into that Azure tenant, that Azure platform
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And that is the future of your Office 365. So if you look at Microsoft AI, it comes in with these eight features, which I'm going to talk about in a bit
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Language learning, text ytics, computer vision, speech authentication, video indexer, AI router, machine teaching, facial recognition
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These are actually components of the Microsoft AI. This is all on the Microsoft website as well
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And it's very much like this is not just, so we say, PowerPoint. This is happening, and it's being implemented in companies
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And people are talking about it on these sessions. AI, content and cognitive segments, compute with Azure functions, power apps, extract data from your business data, power BI
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So let's look at language learning and machine learning based on a service built natural language
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This is your chat box, your Internet of Things. So now you can have sensors all over the place, bots all over the place, gathering information, bringing this back to some cloud environment for decisions to be made and automation to be made
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text ytics you know we've all seen like seen this but also this is where it gets quite
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interesting where you talk about where it's been messages being spoken or or typed as well
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and i'll be talking about this in a little bit as well computer rich vision this is understanding
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images okay so you can imagine like okay i'm looking for i'm looking for something um on a
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search, Bing search word, now you can do images. But also you can start seeing images in pictures and there's recognition going on
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I'm going to show you a short video. And this is Project YOMO, You Only Look Once
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And this is a scene from a James Bond movie. And people took the facial recognition and the object recognition
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and they put this into this, and they managed to identify what was actually
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being displayed on the screen. This is a very good example of when you've got
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a extraordinary amount of information, which humans just cannot process in a timely manner
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and where it can actually be obtained and actually put in, recognized, intelligently decided on
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This is on GitHub as well, and this is an open source project. Thank you
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Thank you
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Thank you
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So that a good example of some of the technologies that I mentioned about video indexing facial object recognition And this was actually on a movie Imagine that was used for law
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enforcement and for prevention of accidents. Okay. That's the video indexer. Okay. So therefore, in terms of segmentation, the video indexer in terms of segmentation
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of what words have been said, facial recognition of body language. Now, I could actually do this with politicians in America
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but that could get a little bit too... I didn't necessarily want to touch this
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But at the end of the day, we're now in a world where everything which everybody says is being stored
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So when a politician is saying something, it's very easy now for a journalist to find out
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if they said something contrary to this 20 years ago. So in politics, it's going to get very difficult to do your job, OK, because people change their opinions, you know, depending on the times
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So you can see this is going to be very problematic for politicians that if you've had a career for 40 years in politics, chances are you've changed your opinion a few times
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Okay. Also, when you can imagine when you're being interviewed and the reporter says, so I just want to be clear, you're saying X, Y and Z. And of course, the politician agrees on that. That's interesting. You said something different three weeks ago at this conference
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So therefore, this information could be stored, referenced and actually be used in a very, very intelligent way
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I mean, AI route planners in terms of with everybody now with GPS tracking, you can now see traffic patterns, what's going on
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And you can actually avoid traffic. That's like nothing new, but that's definitely in the AI routes
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And then you've got machine teaching where the machine teaches reinforced learning platform and key innovations
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And that's building AI modes. And I'll be talking a little bit more about that this as well
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So I'm going to show you a short video of an accident
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It's nothing too hairy. So this was his accident. So did let me just play that
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That was the bit that was it. Let me just play that again. okay so i played it did anybody notice there was a beep
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okay so let me just play that video one more time hang on a minute this is interesting did you notice the beep was before you saw the crash
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happen okay so this is a good example of a bit of machine learning and predictability here what
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that this is a tesla car and what they actually did was it had identified that the car in front
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of the car in front the distance was much shorter therefore it knew there was an accident going to
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happen therefore it put the brakes on and slowed down human beings can't do that
41:07
okay yeah that's something which you really have to remember okay so let's just talk about facial recognition okay facial recognition is um obviously when
41:23
you're basically looking comparing pictures okay so i actually did this a short video before
41:30
from the microsoft website of myself actually i went no jokes in this one
41:35
so there you are okay it's just done a facial recognition there so there's a picture of me when
41:59
i was 17 years old at a school when i was in london of course microsoft needs to spend millions of
42:04
to realize you've got a teenager who's not looking very happy. But that's sort of like where you're actually going
42:10
Can you imagine, though, this could be used in HR? When you're walking into buildings
42:15
When we're walking into buildings, you can imagine HR. By looking at people's facial recognitions
42:23
you could tell what the morale is in your company. You wouldn't need to do employee service
42:28
Now, I suppose you could actually start doing this with videos on your videos and your cameras on your computers and when people actually log in or perhaps during
42:38
the day or when you're on a zoom when you're on a team's call um you can actually start to say okay
42:45
how happy people are okay this is where it can actually start going i suppose you know on the i
42:51
suppose um where you can actually like get your age get your emotions as well so this is one this
42:59
can be used as a good thing okay but there's another interesting slide okay let me just okay
43:07
there's an interesting slide here okay I added in this last night um one of my favorite book
43:13
authors is a guy called Malcolm Gladwell and um here's a top tip if you here's a quick question
43:19
here for the audience you can name me one other book Malcolm Gladwell has written and whoever
43:25
puts it in there i will give them a prize okay and don't start looking on amazon please
43:30
right okay so malcolm gladwell right going going
43:40
gone okay so malcolm gladwell was one of the probably more thought-provoking authors in america
43:47
if not the world in fact he actually invented basically certain books at sections um in barnes
43:54
noble yes he did do blink he also did tipping point as well um as well and david and goliath
44:01
okay so here's a book out called talking to strangers and i thought there was a very
44:07
interesting chapter in here which i thought was interesting but i thought it got a bit
44:12
questionable about immoral about how facial recognition can do okay so what what they i did
44:19
what they did a study was they did a study on anyone and i've got no experience of bail or
44:24
police or prisons or the court system if anyone has any idea if anyone has any thoughts on this
44:30
but basically if you commit a crime you go to bail and then the judge will release you depending on
44:35
whether your background whether you committed other other crimes um or if you actually saw like
44:42
You know, a danger to the community. OK, so what they did a study was, OK, they said that operating on the same information about an applicant
44:52
but without the personal appraisal of a human judge computer decisions were 25 percent more accurate in predicting which applicants would not show up for trial or commit further crimes while on bail
45:12
So let's just think about that, okay? You're in prison for a crime, okay, or you've been
45:18
you've gone to go to court, that you haven't got a judge or a human actually making
45:24
potentially making a decision but a computer okay so does this mean that human hands should
45:30
be removed from the process now this is a horrifying thought and it it sort of like
45:35
removes the entire human error and also the corrosive part of law and order but there is
45:42
an argument here to say well wait a minute here if computers are more accurate at you know at
45:48
predicting crimes by looking at people's body language their voice okay and their facial
45:54
recognition, then the computer can start making decisions and be more accurate. Now, this is
45:59
getting to the point of making minority reports with Mr. Tom Cruise, his world more reality
46:07
on that. But this is what they tried. So when you think about automation, we've seen this 50
46:14
60 years ago in car plants. We've seen this with the computer revolution in the 80s
46:20
the data processing, the internet revolution. And are we going into this other wave, okay
46:27
of having this go right up the food chain, not just in factories or offices
46:34
but perhaps the professions as well. But also living in a world where potentially not a human being
46:42
or is looking at your record, is basically dictating your future, but also perhaps a computer
46:48
so this was actually a chapter in malcolm gladwell here the book so i thought that
46:54
and we were talking about artificial intelligence i thought this is where there's some great things
46:59
but this is where this could get a little bit shaky and a bit out of hand
47:03
speech authentication okay this is where basically we you can tell by people's voice
47:11
and about um we're about their mood they're actually in as well and they're shouting if
47:17
you're shouting and you should imagine on a call center, if you feel like there's a voice that's
47:23
been escalated or becoming a little agitated, it gets pushed up to a line manager. So when we talk
47:30
about the future of Office 365, I touched on a lot of this. Artificial intelligence, virtual reality
47:37
blockchain, didn't touch on that. Internet of Things, I mentioned that. Cloud, big data, bots
47:43
But these are all topics in the virtual conference for today, all in Office 365
47:55
So collaboration, you know, if the message is going to be, it's not going to carry today
48:01
It's got to be coordination. That's really because the speed and the accuracy and the demands is, you know, is is is is so much now
48:10
So therefore, that's where you're really going to get that challenge. And that's where you're going to have to coordinate, where that artificial intelligence and a lot of those features in Azure and Office 365 are going to come into play
48:22
They're already coming into play. But when you think about SharePoint, people will say it's document management and collaboration
48:29
OK, obviously, 65 is so much more about this. Someone just put something in the chat says, I heard they did a test with health care and computers were really better at diagnosing than real doctors
48:42
that's you know you know this is perhaps what he's doing now there's a slight difference here
48:47
that the computers is probably looking at a lot more data than doctors because it can diagnose
48:52
as much quicker okay but look within the case which you had with the the bail and the judge
48:59
like a judge is looking at somebody's background well the person's history what school he went to
49:05
his face how he dressed all the computer is doing is listening to your voice and looking at
49:11
or facial recognitions, and it was more accurate. So there's a slight, that's a good point, PKL
49:18
but there's a slight distinction here. So let's just talk about some references
49:24
Okay, okay. The references are all on LinkedIn, and this is the last slide
49:30
So if you have any questions, I'm more than happy to open this up for questions and answer
49:35
So we have a few more minutes before I kind of like wrap this up
49:41
if you have any questions so steven you mentioned about the ai and modi yes modi is from amdabar i'm very aware of that
49:56
actually i suppose you could say trump's actually from new york as well
50:11
okay drop your questions in yep please do so john blink is actually a good book i don't know how many i i i would say i wouldn't say i'm a
50:41
a Malcolm Gladwell groupie, but I have read all of his books
50:45
They're very good. Hi, Peter
51:03
I just knocked myself in. No problem. No problem. So I think that was a really amazing session that you put up Peter
51:12
I love the demos that you had all from the vision, the speech, the voice
51:20
I think we have one question that you should surely take. It says, how would you implement AI in project management
51:28
Okay, that's a good question. All right, so how would you enter AI in project management
51:33
So when you think about project management is one of these management sciences, which we've been stoked organizations have been struggling with this for the last 50 years and
51:44
what i would say is about leadership and management and project management nobody's got a clue on this
51:52
they really haven't like if you go into a bookstore and you go into so we say the science section
51:57
it's the same physics books for the last like 25 years physics and the principles have stayed the
52:02
same okay you go into project management you go into the tech section or the leadership
52:07
thing okay and you realize it's a new flavor of books every six months okay you know 10 years ago
52:15
it was all about steve jobs okay now it's and for steve jobs and facebook mark zuckerberg now
52:22
elon must okay it all there you know he like the the management guru at the moment he the guy who can get these projects as testless off the finish finish off the production line as quick as possible okay so you know like where the
52:37
ai why a project management nothing is okay i would say what makes a good problem you know not
52:43
to answer a question with a question to me there's three things that make good good project management
52:48
what would you say they are steven uh sorry what would you say the three good things that make a
52:54
great project which makes great project management uh i think of course is to get the basic stunts
53:01
i think to understand target audience right requirement gathering great yeah the uh second
53:09
one would be um if i'm talking about tech so maybe with the technology that we're going to use maybe
53:15
maybe that maybe the execution putting the best practices at the pace
53:26
so that in future if we have to maybe scale up or maybe
53:30
do something more to the cloud maybe that would help so I would say
53:36
pretty much what you said I would say great requirements nothing beats great requirements
53:41
I always say get it right on paper first because code is expensive
53:47
Managing the expectations of it there. This is what the goals, this is the timelines
53:51
this is what you're getting, this is what you're not getting. And then, of course, the execution you said
53:57
So when you talk about AI, I won't really say this is AI, but you know how it is
54:02
You sort of get to the end of the project, and there's a few changes here
54:08
There's so much code coming out. Testing as well. So good, you know, nothing annoys me when I'm basically the beta tester for the developer team
54:18
Okay. When I'm supposed to be the customer. All right. On this, you know, nothing does my head in more
54:23
Okay. So if you can do automated testing. Okay. And you, that, and you speed it, particularly when you get towards the end, we've missed a few deadlines
54:31
My patience is being tested. I'm getting really annoyed. My boss is on my back
54:36
Okay. Everybody's under pressure. Everyone wants to cut corners. so therefore if you could do some automation on some of this stuff and if ai can do this is you
54:46
know you know ai this is the user journeys this is how we can do automate all of this okay so
54:52
instead of doing a round of testing it takes a day if that can be done in 20 minutes that's a
54:58
great delivery that's a great win on that okay but also you're like you know like like i said that
55:03
most technical problems are not technical okay you know in terms of requirement gathering having
55:10
an informal conversation getting to know the person really well understand what their pain
55:15
points are asking the right questions at the moment people are not comfortable with talking
55:22
to a computer it's like i always think when we do a project it's a bit like a doctor you're coming
55:27
in with your problem i ask a couple of questions there'll be casual on this whole thing and around
55:33
about why, you know, I'll ask a few probing questions. Okay. And I know exactly what you
55:38
want. I know when you want it and how, and that's a conversation. And I will ask those questions
55:43
depending on how you respond. I will ask follow-up questions. Like, what do you mean by about that
55:49
Tell me more. Okay. How was your day? And I will listen to certain words. Like if you tell me
55:55
my God, it's, it's like, you know, it's hell out there. What do you mean it's hell out there
56:00
okay um and you were telling me a bit more it's like it's like i'm peeling an onion okay if i'll
56:06
ask you what are your three big problems on this project and you'll tell me x y and z and then i'll
56:11
say why are they your biggest problems okay and then you tell me those why so i know that your
56:17
what the problem is is and i know why they're interested i'm getting to really know what's
56:22
going on here what where where you what your core challenge and when we've done that i can then so
56:27
say right this is how we build the solution at the moment you know like even in the movies i've not
56:35
seen this where the computer can really have conversations you know like in short of like
56:42
not even not even in star wars where the characters in there it's all a bit robotic you know you need
56:48
to have that human conversation of like what's going on how are you doing on this um and you know
56:56
and that's really what you need. So in terms of project management, I think there's a case in terms of automated testing
57:06
Perhaps I would say AI. Okay, I would probably say definitely the automated testing
57:16
I'd probably try and say try and use, should we say, leverage things as much out of the box as possible
57:24
Like, you know, if it's got a lot of workflow engines here, don't code it from scratch
57:29
Buy a workflow engine tool. No names mentioned here. Okay. That's the kind of thing here
57:34
You know, if someone wants a solution in the cloud, I'd probably recommend Azure
57:39
I would not recommend make your own cloud in a data center
57:43
That's just not going to, you know, that's just not going to cut it. So that's really what I basically say, you know, on that kind of front
57:51
Now, what you could do, this is not AI, but if you've got every Teams meeting that we have, we actually now record
57:59
It's referenced. So, therefore, because we have this case. I think this is a New York thing that people have got short-term memory problems
58:09
People actually are saying, I never said this. No, no, no. Hang on, hang on
58:14
And so now it's all recorded. We tell people up front we are recording this
58:18
It's astonishing. you know it's not even funny people's memory has come back so much okay oh yes i never said this i
58:25
said well hang on a minute i think you did we have the recording i can find it well maybe i did
58:30
actually well let's move on on this okay um that's very well explained peter i think you explained it
58:38
very well for the project management i have one question with respect to the subject that for this
58:42
virtual conference is that uh you said about different subjects where we can actually apply
58:47
for the project management one of them was testing right so here's what when we bring ai of course
58:53
the results are better they're very fast right but they eventually replace the human point one
58:58
right secondly we're having this pandemic and eventually people are using a lot of
59:03
jobs these days right so ai is again taking their place so what are your comments on that on how
59:09
people should keep themselves updated yeah when you look at sort of like um when you look at so
59:14
what's going on in China and they've got the week, they've got these testing apps like, like we chats. Okay
59:20
Immediately they've got, they've got somebody. Okay. Let me just rephrase it
59:25
That's a wrong word to use when they've got to, when they optate, when somebody realizes they've got COVID, the WeChat network
59:33
they can actually find, okay, who have you been into contact with in the last two days and you now get
59:38
alerted. Okay. So this is sort of like raises some, some questions a little bit actually on facial recognition
59:47
okay, which is a big issue in terms of like, I would say civil liberties, particularly in this country
59:53
particularly right now, okay, where you've got, you know, people coming in and you're identifying
59:59
wait a minute here, person, you know, this person's got COVID, therefore, let me hit a network. Okay, let me
1:00:06
identify who have you been in contact with in the last, we say, you know, in the last 48 hours
1:00:13
or, okay, I've just recognized your face, you've got COVID, let me hit your Facebook page
1:00:19
and let me identify every photo you've uploaded in the last, you know, in the last 48 hours
1:00:24
and with facial recognition, I know you've been with these people, and we can contact these people
1:00:29
so this is kind of like a health and safety and maybe at the moment we're not quite comfortable
1:00:34
with this remember like 20 years ago people say oh yeah don't take a pic don't put my picture up
1:00:40
on the internet now everybody's doing it kind of thing uh and so maybe it's just a question of
1:00:45
getting sort of like used for this there was a russian dating app it was a russian dating app Okay
1:00:53
That could identify your face and then recognize it. It could actually then do a back
1:00:59
it could actually do a facial recognition and you into Facebook and it can tell you everything about you
1:01:04
So you know, so this is kind of like a little bit scary. You have a female sitting in a cafe and someone comes up to you and say
1:01:11
Oh, hello, Jennifer. Okay. I know you live in, um, you know
1:01:15
you live in Princeton, New Jersey. Yeah. This is like, why don't we go on a date
1:01:19
Don't tell me where you live. I know, I know where you live. I'll pick you up tonight at seven. This is getting very scary here
1:01:26
So where does this, so I say, civil liberties actually stop and where does it start
1:01:34
Yeah, I mean, I think I will be very much not confident about that WeChat thing, but maybe the dating app
1:01:40
you said, may be helpful to some people. Well, but this is, you know, and like I said
1:01:46
it's a comfort factor. Like 20 years ago, people were like scared
1:01:51
about don't put those pictures on the internet because there's always an axe murder looking on
1:01:55
the internet who can find out where i live uh on that and then we all got relaxed on this and
1:02:00
you know like anyone who's going through any major airport um in america if not around the world
1:02:06
there's facial recognition going on everywhere on this so you know there is you know i read one
1:02:13
statistic that 50 of all american adults have had have actually had their their faces scanned in the last five years So that means they gone through airports on that
1:02:25
So I personally don't actually have an issue with any of this
1:02:30
I can't question whether it's a good user's taxpayer's money, but that's another conversation
1:02:36
Yeah. I mean, I'm fine with the facial recognition and even the voice
1:02:41
but maybe I'm not comfortable with my location. I mean, unless it is, I know my data is with whom I'm fine
1:02:48
It shouldn't be shared with my connections or with my friends and family on where I'm visiting
1:02:53
Well, yeah, but it's all a process like caller ID. When caller ID first came out, people were like, oh, wait a minute here
1:03:01
I know what I find a bit creepy. You know, I pick up the phone and the person says, oh, hello, Stephen
1:03:07
They know who I am before I spoke to them. Now, you know, now people can call me
1:03:12
I can tell you, I'm being told where you're calling from. That's a very good example, Peter
1:03:18
Yeah, definitely. I think these applications everyone is using these days. And I think you get an unknown number
1:03:24
but you definitely know who is calling you, which location. So it really makes you as comfortable
1:03:28
So even if you go and use that application, you're fine giving away your details
1:03:32
So exactly as you said, like 20 years back, people were afraid to put their pictures on the internet
1:03:38
So very much relatable. Definitely, it was an amazing session. Before we just wrap it, Peter, I would surely like to ask you
1:03:46
how long did it take you to put that all presentation? Because it is a really amazing one
1:03:51
It took me about two days to stop and starting on this. Yeah
1:03:58
There's a little bit I've used before as well on other sessions
1:04:03
Okay. Okay. So, all right. So, I think, Manfit, you're there? Okay
1:04:10
Manfit, Manfit, time. Yeah, you're there. Hello. Thank you, Peter. You are making technology scary, I guess
1:04:17
No, I was supposed to be motivating everyone here, aren't I? You're getting scared. Like, seriously, I'm being monitored. It's like that
1:04:26
But this is the whole, you know, it's a bit like 25 years ago
1:04:31
like if you were doing online dating, you were seeing it a bit weird. Now I think you know I think it a bit weird I was actually at a dinner party a few years ago and I asked oh where did you two meet And they go oh we met at work And somebody said oh it must be so weird not meeting somebody online
1:04:50
That's so cool now. I've got to live into COVID and the pandemic is going to be more now
1:04:56
Well, yeah, it's almost a bit like companies now. Like I said, we're going to work remote
1:05:00
I'm not going to meet my co-workers. 12 months ago, that might be seen as a bit weird
1:05:05
these virtual conferences but you know now it's become the new norm yeah but i have a feeling
1:05:12
though that there's human beings want to connect personally they want to do that it's just human
1:05:17
nature it's you know we're very tribal we're very social creatures right um and i feel like there
1:05:26
is a definitely a need for that touch point those face-to-face meetings and like our relationship
1:05:31
you know if we it would be so much richer we actually met uh in person like like university
1:05:38
as well when you think about university going on you it'll be a totally different experience
1:05:43
if you think about your life you've had different communities you've had school friends university
1:05:49
friends work friends family if that was all virtual it would be very different if your
1:05:55
university friends you only met them online you only knew them online like yeah
1:05:59
that's so true that's so true yeah yeah you both can meet right you both are very close to each
1:06:06
other you both can meet we met it was in the same boat we met uh at the azure boot camp right yep
1:06:13
and the new one is coming up soon the new one the new boot camp is coming again that's correct yes
1:06:21
um yeah that is that is actually yeah that is correct yeah yeah so thank you peter for coming
1:06:27
Thank you for your valuable time. Pleasure. It's indeed a very good
1:06:32
And you were part of the course for the UNICEF. Thank you so much for this
1:06:37
Great course. Great organization. Thanks, guys. Thank you. Thank you. Once again, have a great day
1:06:42
And hope to see you soon virtually again. Thank you, guys. Bye-bye
1:06:46
Bye-bye. Thanks, Stephen. Thanks, mate. Bye. So, Simon. All right. Manfred, so we are done with this second keynote
1:06:54
What's time at your place? So time is 3 p now Mine is 12 Tell me more Amazing So you are already very soon
1:07:09
Yeah, exactly. I think I woke up around 6 in the morning today
1:07:13
and it's almost like 18 hours. I've not slept and I think 12 more hours to go
1:07:20
I think for me, the average is like 1.5-2 hours from last three days. and
1:07:25
I know I know I have been getting emails you're sending emails
1:07:32
even when I'm sleeping right and when I'm awake even I'm getting your emails
1:07:36
you have become a two-clock citizen now right around the clock so I wanted to
1:07:41
send the people so everyone here to donations thank you we are getting donations
1:07:47
on this side if I see on my screen I think it's as far
1:07:50
it's $3,290 dollars we have received donations keep on coming people we need a good target as i said before
1:08:00
uh we don't have to spend or like we're not asking for a lot it's just one dollar one dollar in us
1:08:07
one rupee in india a pound which is a little more in like or a kind of like anywhere you know so like
1:08:15
keep on coming in and as i said this money is not by us not by any corporation you are donating
1:08:22
directly to UNICEF. And nobody is going to be using the money in the wrong way
1:08:28
It's going to go to perfect hands. So please keep on coming
1:08:32
And we are going to keep it back. Everyone, just go back to the
1:08:36
site there and start connecting to Teams meeting. We are starting again
1:08:41
And the end note ends now. And the next one is, I think, after four hours, Simon
1:08:46
So probably you can grab some sleep and then see you back
1:08:52
Yeah, exactly. Exactly. So I think now the session that starts is, let me go back. There's so many sessions happening, Manfet. Now we have Joe, Jasmine, Shanta, Jose, Chris, and another Spanish track. An amazing virtual conference going on. I'll see you in the next keynote. Till then, let's connect on Teams
1:09:12
Yeah, thank you, everyone. Bye-bye. Hashtag LightUp. Bye. Yeah, exactly. Yeah, LightUp. Bye
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