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Wonderful
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Hello everybody
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Good morning good afternoon and good evening wherever you may be today where
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Very thrilled to welcome you today too
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Talk to you about our new digital transformation course
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I'm at MIT professional education digital plus programs
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Welcome to this introductory webinar our goal today is to
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Introduce you to our faculty and and share more information about the course
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So I will be doing that in just a minute
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But actually get started
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I wanted to just give you a little bit of orientation to our our webinar here and how you can
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Interact with us
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With that really two ways to interact the first way is to bring up the chat
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So if you look on your screen you'll see a chat button
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And we can all practice using that first by why don't you bring that up tell us what you
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You're sitting today we've got
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I'm over a hundred people here
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And I meant to tell us where you're sitting I can tell you I'm I'm sitting here in a building right next to
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MIT in Cambridge Massachusetts so
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The dish are where you are because it's always interesting to
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To see where people
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I located
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And when you do Pat if you're interested in sharing with everybody which I recommend douche
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Share it with all panelists and attendees
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I'm so we can all see so I'm seeing already Cape Town South Africa
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Wingstop Brazil
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Ohio to lay at Kuala Lumpur India Singapore Peru Athens
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Mumbai Rome Italy dohai Portugal wonderful it's wonderful to see such a global
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Community here
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I think that's something that you'll see in this
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Generally is that you'll come together with a global Community around topics of mutual
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In chest so
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Thank you for sharing
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Now as we go through this this this program and introduced you to the course content
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You may have questions that you would like to pose to The Faculty so
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The way to do that is to use our
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Human a box
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So please don't post questions in the chat
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Please post them in the queue in a box
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We have a team of program advisors here with us on the on the webinar
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That they'll be answering some of those questions as we go by text
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And then once we get through our content we're going to try to limit our content is 30 or 40 minutes
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Will Reserve that last
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Peace
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To go through this questions and answer just as many of them as we can
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So
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So that's how this webinar will work
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And without further ado
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I'd like to
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Introduce you to the course first of all just very briefly as you know this is a digital transformation
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Hovering what are the key technologies that are really impacting
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Our Global Society right now blockchain artificial intelligence Internet of Things
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The cloud
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And cybersecurity and we're going to hear more about all of this in a minute but those are the main
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The main topics that this course covers
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The Faculty are we've got dr. Abel Sanchez and dr. John Williams and they
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They are both
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Join me here today
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I'm thrilled to be sharing the platform with them
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And you'll hear from them in just a minute
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Just to give you a little bit more detail on them
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John Williams is a professor of information engineering at here at MIT
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And I'm he is as you can see I'm author dagger 150 Publications
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An internationally recognized
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Scholar in the area of computational algorithms
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I'm For Life scale particle simulators which is very cool and
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Also been named one of the 50 most powerful people in
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Computer network
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In 2005
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With a very illustrious company there so
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We're thrilled to have you with us today dr. Williams
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Sanchez as well here the executive director at MIT
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Geospatial
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Datacenter
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And who is you know Consulting for abroad orbea companies and teachers
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In cybersecurity engineering
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Patient and data science
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And I'm dr. Sanchez has a wonderful TED Talk
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On the future of Education with I
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Which is is fascinating
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Suggest that you look it up if you have a chance to do that
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Okay
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So without further Ado I'm going to turn it over sorry we're going to turn it over to dr. Williams and
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Who's going to talk a little bit more about what to expect in this course so I'll stop sharing my
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So we can chat
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And it over
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Tu
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Let me
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Share my screen
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Okay can you see me
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We sure can
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Okay so
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I think the main thing the
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I want to convey to you is but both able and I
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Spend most of my time in this area
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I'm a computational what's happening in the field
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Digital transformation
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Hitting
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Both
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Industry and Academia and government
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What we see
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Is that one of the main features is destructive
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Speak now
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Changing
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Constantly in the software area
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This book take Exit extremely fast
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Pottery Barn
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Goal is to understand how we can keep up with this
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Coptic
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How can how can we learn this
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Speed
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And some people in industry
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Decision-making now has to happen
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I'm much faster
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The clock ticks than we've ever
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Experienced before
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I'm so
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That's the main goal I think
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In this course is to give you
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The tools
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Another hand hold if you like so you can climb the mountain yourself
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But
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That you probably need to understand how to deploy these tools
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In your organization
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How to deploy the tools yourself
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You know one of the things that we do is we make a lot of videos
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Uninfect
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We have arrived Studios now but they blend I
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It always sitting in front of these Green Springs
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But these little things the tools that you have to use these days
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You're doing business remotely
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You have distributed teams across the world
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This is a very new way of doing business
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Discourse
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Will hopefully introduce you to
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United Technologies behind this digital
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Disruption
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Acting industry
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This kind of Club pic
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I'm here wishing autonomous systems now being deployed
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In the course we going to talk about AI
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How do you systems now rocketech
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But they have
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They're already having immediate effect on the world
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This is the stock market
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In 2010
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And in 20 minutes it's lost
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A trillion dollars
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I'm so
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Which of these systems
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For example in the finance area in
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Writing
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We really don't know how they're going to respond
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Until we
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Experience
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These
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Guitar shops
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We actually think that these systems are behaving perfectly well
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I'm so one of the challenges that we're facing today is to understand the properties of these systems
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Building
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Blockchain
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One of these system
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In 2008 I'm sure you will remember the market
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Shock that a cut
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You had two companies
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Such as Nokia
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BlackBerry
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Basically
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Going out of business
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Never before we had a company was 150 billion
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In 2008
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Bye 2013
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It's worth almost Nero
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So this plug pic
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Is extremely fast
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Understanding the technologies that are driving this
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What is critical
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Not easy to do that
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Install
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Excuse me that my phone just rang
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The devices that we have these days going to they're all around us
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Digital disruption
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You see these people with two or three finds you
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Messi playing today
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I talk to impress
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As impressed with the number of international people that we saw that
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Star
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I'm totally able to say hello to you probably during the school
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I know I'm going to be in Hong Kong in January start
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Hopefully there's somebody from Hong Kong at taking the course
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These disruptions have been driven by these Technologies
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In this case
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What they got wrong was that they store
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We need to keyboard
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But we didn't
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Basically the iPhone disrupted ever
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The only thing that's happened with the
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Internet of things if you like that
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These phones are producing data
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And so now
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This is just a diagram that you like illustrating the 7 billion people roughly
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210
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Countries across the world
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Open using data
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And what has changed
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Is
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We now have companies like
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Amazon and Google but no the customer
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Apps better than
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Eye bank
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This is why
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Where was talking to
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Various in
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Institutions and banking instantly one
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It's being difficult
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Disrupted
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Just a quick question on the
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What would you
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Say regarding the availability of data and competitive advantages and stirring domains
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You're exactly the
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Your access to data
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Probably determined
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How you can respond
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If you don't have the data
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You're at a significant disadvantage
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You know we've seen me what we call the fangs you know Facebook Apple
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Amazon
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That
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Have the day to
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The disrupting
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Companies
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You know that existed maybe a hundred years
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I'm suddenly that face
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With making decisions
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Bentley the banking sector
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Blockchain
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Decide
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What is this
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Do we need it
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How fast do we need it
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And I think
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You know what we're saying is that
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Blockchain is
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Tremendous
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Technology but
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We really don't have that much
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Experiments with it yet
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And we need one to stand
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What would a what does a
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Smart contract me
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Cetli
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My view if you like what happened is that we started with the web
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That on top of that we got laid internet
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Things have devices producing data like our cell phones
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And that gave rise to Big Data
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Which is giving riots the ability to do
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A machine learning
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And that's probably one of the big disruptors now is machine learning
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We're probably doing that in the cloud which is another of disruptive that
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Almost
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Industries
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Considering moving or have moved to the cloud
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That's a very different environment to the one we had 10 years ago
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That's part of what we're covering a nice I think you'll you'll covering a lot of that
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Continuous integration
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Continuous deployment area
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Yeah I just wanted to add one point they're done in that these decide data sets for example in the case of boy
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Voice
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If you think about that
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Amazon Echo
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Platform
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Are they have over 50000 hours
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Audio + transcripts
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Anybody else that wants to move into that space
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Has a tremendous challenge to overcome
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And if you think about Amazon
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And what they've done
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In the world of retail
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And I'm moving on to the physical World ride with purchase of Whole Foods
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And starting to add smart stores right or the using machine learning to determine
281
00:13:23,839 --> 00:13:27,679
Weather you grabbed an item and put it in your bag and you don't even have to pay
282
00:13:27,935 --> 00:13:32,031
They're trying to do the same thing that they've done in the virtual world now in the physical
283
00:13:32,287 --> 00:13:35,871
And the challenge for the rest of the world of Targets in
284
00:13:36,127 --> 00:13:37,663
Home Depot send everybody else
285
00:13:37,919 --> 00:13:38,687
Is that
286
00:13:38,943 --> 00:13:39,455
This is
287
00:13:39,711 --> 00:13:40,735
It hasn't been there game
288
00:13:40,991 --> 00:13:42,783
And now they're heading to play
289
00:13:44,063 --> 00:13:45,855
Beat the game of the internet Giants
290
00:13:47,135 --> 00:13:52,255
Yeah I mean we both were both involved with inside of things we spent
291
00:13:52,767 --> 00:13:55,071
Yeah the early 2000s
292
00:13:55,583 --> 00:13:59,167
You know then we were hoping to get things online
293
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Talking to each other
294
00:14:00,703 --> 00:14:03,007
Now we've had a wish and now we have
295
00:14:03,263 --> 00:14:04,543
Cyber security issues
296
00:14:04,799 --> 00:14:05,823
Roll tide
297
00:14:06,079 --> 00:14:08,127
I think you're going to snow
298
00:14:11,711 --> 00:14:17,599
I think you're one of the big ones is that once you go updated then you said you can do machine learning and we going to
299
00:14:17,855 --> 00:14:21,183
It'll talk about that and that's one of the big disruptors
300
00:14:21,439 --> 00:14:24,511
It's disrupting Us in the education that
301
00:14:24,767 --> 00:14:27,839
Rmit we've Suppply the new College of
302
00:14:28,095 --> 00:14:29,119
Computing
303
00:14:29,375 --> 00:14:33,727
Because every failed we say now is involved in computation of some kind
304
00:14:35,007 --> 00:14:36,287
I think you're going to say something Idol
305
00:14:37,311 --> 00:14:39,359
No no I think
306
00:14:39,615 --> 00:14:41,919
This is one of those things that a x
307
00:14:42,687 --> 00:14:45,247
You might say well I am an industry X
308
00:14:45,759 --> 00:14:46,783
And this one affect me
309
00:14:47,295 --> 00:14:51,391
And the challenges that across-the-board every single the Maine
310
00:14:51,647 --> 00:14:52,671
Is being challenged
311
00:14:53,183 --> 00:14:54,207
By this
312
00:14:54,463 --> 00:14:55,231
Disruption
313
00:14:55,487 --> 00:14:57,791
How many times to to technology in in
314
00:14:58,047 --> 00:14:59,071
Lisa talked about the
315
00:14:59,327 --> 00:15:00,351
That talk that I did
316
00:15:00,607 --> 00:15:02,399
And was precisely looking at ourselves
317
00:15:02,655 --> 00:15:03,935
What is this mean
318
00:15:04,191 --> 00:15:06,239
After the point point of view of Education
319
00:15:06,495 --> 00:15:09,311
John and I were talking yesterday about a new program
320
00:15:09,567 --> 00:15:13,151
Where students are going to start studying technology
321
00:15:13,407 --> 00:15:14,431
In high school
322
00:15:14,687 --> 00:15:18,783
Plus two more years which means they would have six years by the by the
323
00:15:19,295 --> 00:15:20,063
Age of 20
324
00:15:20,831 --> 00:15:23,647
Compare that to your average graduate today
325
00:15:23,903 --> 00:15:25,695
And they perhaps would be
326
00:15:25,951 --> 00:15:27,487
Further along in
327
00:15:27,743 --> 00:15:29,535
You know the impact that this would have
328
00:15:29,791 --> 00:15:32,095
Indication again in around industry
329
00:15:32,351 --> 00:15:35,423
And there are already some projections that say that 50% of the college's
330
00:15:35,935 --> 00:15:36,447
Disappear
331
00:15:36,703 --> 00:15:37,471
It certainly
332
00:15:37,727 --> 00:15:41,823
The strong Brands will remain but how will we look like
333
00:15:42,079 --> 00:15:44,383
When the scary Strokes is a big question so
334
00:15:44,639 --> 00:15:46,431
This question of of transformation
335
00:15:46,687 --> 00:15:48,991
It's a big one regardless of where you are
336
00:15:49,759 --> 00:15:52,831
Well I think University is going to look a lot more like this
337
00:15:55,903 --> 00:15:56,927
I think that's why I waited
338
00:15:57,439 --> 00:15:58,719
We getting into this
339
00:15:58,975 --> 00:16:00,255
Ellie pico
340
00:16:00,767 --> 00:16:01,791
That's the way it's going to be
341
00:16:02,303 --> 00:16:04,863
I think getting back to the neural Nets the
342
00:16:05,119 --> 00:16:06,143
The essential
343
00:16:07,679 --> 00:16:09,983
Sing for me was that suddenly
344
00:16:10,239 --> 00:16:11,519
People are riding
345
00:16:12,031 --> 00:16:12,543
Code
346
00:16:13,311 --> 00:16:15,359
Telling machines to do something
347
00:16:16,127 --> 00:16:18,175
The then the machine
348
00:16:18,431 --> 00:16:19,455
Was learning
349
00:16:19,711 --> 00:16:20,479
To do things
350
00:16:20,735 --> 00:16:22,527
But the human themselves we can't do
351
00:16:23,551 --> 00:16:25,855
And that's pretty amazing that Subway
352
00:16:26,111 --> 00:16:28,671
Machines of doing things that we as humans
353
00:16:28,927 --> 00:16:29,951
Don't know how to do
354
00:16:30,719 --> 00:16:33,279
So web programming machines to learn
355
00:16:33,535 --> 00:16:35,583
On these machines
356
00:16:36,095 --> 00:16:39,935
Out of the normal right you know that's the alphago and
357
00:16:41,983 --> 00:16:43,007
Could reproduce
358
00:16:44,543 --> 00:16:45,055
The hole
359
00:16:45,311 --> 00:16:46,335
Chess history
360
00:16:46,591 --> 00:16:47,359
In 4 hours
361
00:16:48,127 --> 00:16:49,151
And that's that's amazing
362
00:16:49,663 --> 00:16:50,687
Unsolved
363
00:16:50,943 --> 00:16:53,247
We really need to sit back and think
364
00:16:53,759 --> 00:16:57,087
What's going to happen to the Future work in a week
365
00:16:57,599 --> 00:16:59,135
Discussions on that I know
366
00:16:59,647 --> 00:17:01,439
In a water machines going to be able to do
367
00:17:01,695 --> 00:17:02,975
They sent me things machines
368
00:17:05,023 --> 00:17:05,791
We know that
369
00:17:06,047 --> 00:17:07,839
And so we need to understand
370
00:17:08,095 --> 00:17:10,143
Okay what's the new division of labor if you
371
00:17:11,167 --> 00:17:12,959
Between the human on the machine
372
00:17:13,471 --> 00:17:14,239
And that
373
00:17:14,495 --> 00:17:15,519
That's going to be an essential
374
00:17:17,055 --> 00:17:19,871
A Rolls-Royce I think as humans that we going to need pot
375
00:17:20,895 --> 00:17:21,919
Is it going to be machines
376
00:17:22,431 --> 00:17:23,455
And so we better
377
00:17:23,967 --> 00:17:24,991
Blood on the tooling
378
00:17:25,503 --> 00:17:28,063
I know that's a lot of what we going to cover with
379
00:17:29,855 --> 00:17:31,647
The move to cloud is the tooling
380
00:17:32,927 --> 00:17:33,695
Phenomenal Leverage
381
00:17:35,999 --> 00:17:37,791
This is just some of the tools that
382
00:17:38,047 --> 00:17:39,327
You know we're using
383
00:17:41,119 --> 00:17:44,703
But I am I kind of like to do the hello world
384
00:17:45,215 --> 00:17:48,799
This is a contact sport that you have to get your hands on these tools
385
00:17:49,311 --> 00:17:51,103
So you don't need to spend
386
00:17:53,407 --> 00:17:54,175
You know in a week
387
00:17:54,687 --> 00:17:57,759
That we we think we can teach you you know how to use tensorflow
388
00:17:58,015 --> 00:17:58,527
For example
389
00:17:59,039 --> 00:18:02,111
We can teach you how to launch machines in the cloud
390
00:18:02,623 --> 00:18:03,391
Unsolved
391
00:18:03,647 --> 00:18:05,951
I think this new era was
392
00:18:06,207 --> 00:18:07,999
Computation in the tooling
393
00:18:08,255 --> 00:18:09,535
Is changing how we learn
394
00:18:10,047 --> 00:18:15,167
I'm going to be talking about blockchain I know you'll bring that as well
395
00:18:16,959 --> 00:18:17,727
It's the first
396
00:18:17,983 --> 00:18:19,263
Autonomous system
397
00:18:19,519 --> 00:18:21,311
We may not be able to shut down
398
00:18:21,823 --> 00:18:22,335
The
399
00:18:23,871 --> 00:18:27,199
Did this is our system is being run by humans across the world
400
00:18:27,711 --> 00:18:28,991
No
401
00:18:29,503 --> 00:18:30,783
There's no people in charge
402
00:18:31,807 --> 00:18:33,343
Somebody in charge of
403
00:18:33,599 --> 00:18:35,135
One machine and they can shut
404
00:18:36,159 --> 00:18:39,231
Literally there are tens of thousands of these machines
405
00:18:39,999 --> 00:18:41,023
I'm so
406
00:18:41,535 --> 00:18:42,047
With
407
00:18:43,327 --> 00:18:46,655
Blockchain we're seeing a new kind of
408
00:18:47,167 --> 00:18:48,959
I trust being developed
409
00:18:49,215 --> 00:18:51,519
Where we trust the machines We Trust
410
00:18:51,775 --> 00:18:52,287
The code
411
00:18:52,543 --> 00:18:53,823
Rosalyn having to trust
412
00:18:54,335 --> 00:18:54,847
The humans
413
00:18:55,359 --> 00:18:58,943
As I I think you always point a table that this is
414
00:18:59,455 --> 00:19:03,807
Probably its biggest impact maybe as a standard across the world that we all agree
415
00:19:04,063 --> 00:19:05,599
How to talk to this blockchain
416
00:19:06,111 --> 00:19:06,879
Unsolved
417
00:19:07,135 --> 00:19:08,415
That we can all
418
00:19:08,927 --> 00:19:09,439
Issue
419
00:19:09,951 --> 00:19:11,743
Smart contracts we can issue
420
00:19:11,999 --> 00:19:13,791
My transactions on this chain
421
00:19:15,327 --> 00:19:15,839
And
422
00:19:16,095 --> 00:19:19,423
We don't need for Nestle Trussville know the other people that would dealing
423
00:19:19,935 --> 00:19:24,031
So we're going to go into great that's I think with blockchain but it sent me one of these
424
00:19:24,287 --> 00:19:24,799
Technology
425
00:19:26,335 --> 00:19:28,127
As far as learning goes
426
00:19:28,639 --> 00:19:29,919
I talk about it
427
00:19:30,175 --> 00:19:32,223
Ghetto following the ensor
428
00:19:35,295 --> 00:19:39,647
This number of here for npm which is a node package manager the
429
00:19:39,903 --> 00:19:40,415
Wheel
430
00:19:40,671 --> 00:19:42,207
Talking about and teaching your body
431
00:19:42,719 --> 00:19:45,279
There's 8 billion downloads last week
432
00:19:45,791 --> 00:19:47,327
It's probably higher this week
433
00:19:49,119 --> 00:19:54,239
That's amazing. Now you can download libraries and build code
434
00:19:55,007 --> 00:19:58,591
So the program now is not really about writing that much code it's
435
00:19:58,847 --> 00:19:59,359
It's about
436
00:19:59,615 --> 00:20:00,895
Gluing code together
437
00:20:02,431 --> 00:20:02,943
That's
438
00:20:03,711 --> 00:20:05,759
Best both like an amazing
439
00:20:08,063 --> 00:20:09,087
Power that you have
440
00:20:09,343 --> 00:20:11,391
But also we don't know
441
00:20:11,903 --> 00:20:13,695
The individual building blocks that well
442
00:20:13,951 --> 00:20:15,743
So this is Cypress Security problems at
443
00:20:16,255 --> 00:20:18,559
And we don't know how nicely to test
444
00:20:19,071 --> 00:20:21,631
These packages that well in the cloud
445
00:20:21,887 --> 00:20:22,911
Artificial intelligence
446
00:20:23,423 --> 00:20:23,935
Example
447
00:20:24,191 --> 00:20:24,959
Are we don't
448
00:20:25,215 --> 00:20:26,239
We don't know how
449
00:20:26,495 --> 00:20:27,263
To test
450
00:20:27,775 --> 00:20:28,799
When are they going to break
451
00:20:29,311 --> 00:20:31,871
You know as we saw with the trading system
452
00:20:33,151 --> 00:20:34,943
It lost its lost trillion dollars
453
00:20:36,735 --> 00:20:37,503
That's something that
454
00:20:38,015 --> 00:20:39,295
A critical issue
455
00:20:40,575 --> 00:20:45,183
So we're living in this world now we that's volatile uncertain complex
456
00:20:47,231 --> 00:20:47,999
And
457
00:20:48,255 --> 00:20:50,303
We need to operate on a different way
458
00:20:51,327 --> 00:20:54,655
111 software we realize that we have to be agile
459
00:20:55,423 --> 00:20:58,239
But we have to deploy code learn from it
460
00:20:58,751 --> 00:21:00,031
Updated
461
00:21:00,799 --> 00:21:01,567
Correct
462
00:21:02,335 --> 00:21:03,615
On my senses
463
00:21:04,127 --> 00:21:07,711
The business has to operate differently now as well
464
00:21:07,967 --> 00:21:10,783
The weekday dealing with systems that are not mentally stable
465
00:21:12,319 --> 00:21:14,111
We doing the systems that are either come
466
00:21:15,135 --> 00:21:16,672
Assistance or chaotix
467
00:21:16,928 --> 00:21:17,440
Justin Bieber
468
00:21:17,696 --> 00:21:18,976
And in this world
469
00:21:19,232 --> 00:21:20,768
This means that we have to
470
00:21:21,280 --> 00:21:22,048
Test the market
471
00:21:22,816 --> 00:21:24,352
Deploy code fast
472
00:21:25,120 --> 00:21:26,144
Update all codes
473
00:21:26,400 --> 00:21:27,680
Until we're going to be talking
474
00:21:27,936 --> 00:21:29,984
A lot about how that is affecting India
475
00:21:33,312 --> 00:21:33,824
Yes
476
00:21:34,336 --> 00:21:37,152
I was just going to I was just going to make a comment there and that
477
00:21:37,664 --> 00:21:39,968
One of the ways you see this more clearly
478
00:21:40,224 --> 00:21:40,992
Is that
479
00:21:41,248 --> 00:21:44,832
If you look at the average deployment speed of companies in
480
00:21:45,088 --> 00:21:46,112
Fortune 500
481
00:21:46,368 --> 00:21:48,160
You're looking about once every two months
482
00:21:48,672 --> 00:21:50,208
And if you look at the leaders
483
00:21:50,464 --> 00:21:53,024
In the space they're deploying several times a day
484
00:21:53,280 --> 00:21:55,840
And so if it takes you learn longer to learn
485
00:21:56,352 --> 00:21:57,376
You're going to be in trouble
486
00:21:57,632 --> 00:21:59,168
And it is precisely this Loop
487
00:21:59,936 --> 00:22:00,704
The Book of Luke
488
00:22:01,216 --> 00:22:03,008
And these are some
489
00:22:03,264 --> 00:22:04,544
Very clear
490
00:22:04,800 --> 00:22:05,824
Numbers
491
00:22:06,080 --> 00:22:07,616
And you look at organizations then
492
00:22:08,128 --> 00:22:12,224
We often think about many organizations that we know and we stay there in trouble
493
00:22:12,480 --> 00:22:13,504
Because we can see
494
00:22:13,760 --> 00:22:16,064
That they're simply don't have the capabilities
495
00:22:16,320 --> 00:22:16,832
Most fast
496
00:22:17,088 --> 00:22:17,600
But just be
497
00:22:18,880 --> 00:22:19,392
Yeah
498
00:22:19,648 --> 00:22:20,928
On the sky
499
00:22:21,184 --> 00:22:22,720
Developed bicycle doodle Loop
500
00:22:22,976 --> 00:22:24,000
John Boyd
501
00:22:24,256 --> 00:22:27,072
He didn't write that much but he's worth reading
502
00:22:27,328 --> 00:22:30,656
And that's another thing that will be hopefully
503
00:22:31,168 --> 00:22:33,472
Conveying to you this sitting books
504
00:22:33,728 --> 00:22:35,264
You should be reading.
505
00:22:35,776 --> 00:22:37,056
There's people that have haddock
506
00:22:37,312 --> 00:22:38,080
Experiences
507
00:22:38,336 --> 00:22:39,872
Wedding sites
508
00:22:41,152 --> 00:22:42,176
Aaron Paul
509
00:22:43,712 --> 00:22:44,736
He goes inside
510
00:22:45,504 --> 00:22:46,528
You know from
511
00:22:46,784 --> 00:22:47,808
Fighting in war
512
00:22:48,064 --> 00:22:49,344
Where he found the
513
00:22:49,856 --> 00:22:52,672
The US planes were fighting against
514
00:22:53,184 --> 00:22:53,952
The mix
515
00:22:54,464 --> 00:22:56,768
On the big was the superior plane on yet
516
00:22:57,024 --> 00:22:58,816
The app
517
00:23:01,120 --> 00:23:02,144
US1
518
00:23:02,656 --> 00:23:04,704
For some reason what having a high kill ratio
519
00:23:05,216 --> 00:23:06,752
And what he found out what is the
520
00:23:07,264 --> 00:23:08,800
Pilots go through this week
521
00:23:09,312 --> 00:23:12,128
I'm so now this is what we basically I do
522
00:23:12,384 --> 00:23:14,176
In in business
523
00:23:14,432 --> 00:23:14,944
Is
524
00:23:15,200 --> 00:23:16,736
We try to go through this doodle Loop
525
00:23:17,248 --> 00:23:19,040
Faster than our competitors
526
00:23:19,808 --> 00:23:21,088
But that's it that's
527
00:23:22,112 --> 00:23:23,392
An issue for companies
528
00:23:23,904 --> 00:23:25,952
How do you change your culture to do that
529
00:23:26,208 --> 00:23:26,976
So as you
530
00:23:27,232 --> 00:23:28,000
Pony La Table
531
00:23:28,256 --> 00:23:30,048
How do you compete with somebody like Amazon
532
00:23:30,560 --> 00:23:32,096
How do you compete with a Google
533
00:23:32,608 --> 00:23:34,400
No it's clear that you can
534
00:23:34,656 --> 00:23:37,984
But you have you you have to really understand
535
00:23:38,496 --> 00:23:39,776
Who your customer is
536
00:23:40,032 --> 00:23:41,312
I'm on what your advantage
537
00:23:43,360 --> 00:23:44,384
How can you
538
00:23:44,896 --> 00:23:46,944
Be more agile
539
00:23:48,480 --> 00:23:52,832
So I think that's your mission if you like him in school
540
00:23:53,344 --> 00:23:53,856
Is
541
00:23:54,112 --> 00:23:56,416
We put a handsome lot of these Technologies
542
00:23:56,928 --> 00:23:59,744
We want to show you how you can do the same as us
543
00:24:00,768 --> 00:24:02,304
It won't take you that long
544
00:24:02,816 --> 00:24:03,584
In a week
545
00:24:03,840 --> 00:24:07,168
But you could you can learn how to deploy smart contract
546
00:24:08,192 --> 00:24:09,728
How to deploy
547
00:24:10,240 --> 00:24:12,288
A cybersecurity control
548
00:24:13,568 --> 00:24:16,896
So we'd encourage you to follow us just like these little ducklings
549
00:24:17,152 --> 00:24:19,712
We will hopefully lead you
550
00:24:19,968 --> 00:24:22,016
Through this Jungle of information
551
00:24:22,272 --> 00:24:24,064
Islamic information out there
552
00:24:25,088 --> 00:24:26,368
Our goal is to base
553
00:24:26,624 --> 00:24:27,392
Physically
554
00:24:27,648 --> 00:24:28,672
Cut a path through this
555
00:24:29,184 --> 00:24:31,488
And take you to the in Central Point
556
00:24:31,744 --> 00:24:32,768
We think you'll need
557
00:24:33,024 --> 00:24:34,304
How to understand the digital
558
00:24:34,560 --> 00:24:35,072
Transformation
559
00:24:35,584 --> 00:24:37,376
So what's up with that
560
00:24:37,632 --> 00:24:38,912
I'll hand it over I think
561
00:24:39,168 --> 00:24:40,448
Lisa
562
00:24:41,728 --> 00:24:42,752
Headed over to you able
563
00:24:46,336 --> 00:24:47,872
A video about so
564
00:24:49,920 --> 00:24:50,688
Multiple switch
565
00:24:50,944 --> 00:24:51,712
Screen tear
566
00:24:51,968 --> 00:24:53,760
Ableton share
567
00:25:07,584 --> 00:25:08,864
Know when you can see my screen
568
00:25:17,312 --> 00:25:19,104
So thank you John
569
00:25:19,360 --> 00:25:21,664
And Lisa for the introduction
570
00:25:22,176 --> 00:25:24,992
This is something we spend a lot of time thinking about
571
00:25:25,504 --> 00:25:27,552
Luckily enough we get paid
572
00:25:27,808 --> 00:25:28,320
To do it
573
00:25:28,576 --> 00:25:32,672
Are we talk with a lot of companies in many different Industries throughout the world
574
00:25:32,928 --> 00:25:34,208
And so we have the
575
00:25:34,464 --> 00:25:38,304
The advantage of having an overarching comprehensive View
576
00:25:38,560 --> 00:25:40,096
And we touch the technology
577
00:25:40,352 --> 00:25:43,424
We use them in around research and we apply them as well
578
00:25:43,680 --> 00:25:48,288
And so our research for the fall yes for both of us as well as their Consulting engagements
579
00:25:48,544 --> 00:25:53,152
A role in Industry so we're bringing back a lot of that to you
580
00:25:53,408 --> 00:25:55,968
And at the same time as John mentioned that this is
581
00:25:56,480 --> 00:25:58,784
Not something you buy or
582
00:25:59,040 --> 00:26:02,368
Something you finish it is a continuous process
583
00:26:02,624 --> 00:26:04,928
And we're hoping to give you the framework
584
00:26:05,184 --> 00:26:05,952
As to how to
585
00:26:06,208 --> 00:26:06,976
To think about this
586
00:26:07,232 --> 00:26:11,072
Which is as I mentioned not at all easy does it something we wrestle with
587
00:26:11,328 --> 00:26:12,096
Ourselves as well
588
00:26:12,864 --> 00:26:15,936
In one of these topics perhaps one of the most
589
00:26:16,192 --> 00:26:17,984
Poignant examples in the space
590
00:26:18,240 --> 00:26:19,520
Is the question of Cyprus
591
00:26:19,776 --> 00:26:23,104
Security were inundated with messages from the Press
592
00:26:23,360 --> 00:26:24,384
Everywhere we look
593
00:26:24,640 --> 00:26:25,408
There are threats
594
00:26:25,664 --> 00:26:30,528
And so does a challenging environment to ground yourself in to be able to make
595
00:26:30,784 --> 00:26:31,296
Decisions
596
00:26:31,808 --> 00:26:32,832
Datar
597
00:26:33,088 --> 00:26:37,184
That have solid fundamentals and how do you think about this is one of the challenge
598
00:26:37,952 --> 00:26:42,816
And so we touch a number of topics through this through this domain
599
00:26:43,072 --> 00:26:46,144
But I wanted to give you a specific one
600
00:26:46,656 --> 00:26:49,472
That is one of the lessons that we
601
00:26:49,728 --> 00:26:50,240
That we using
602
00:26:50,496 --> 00:26:51,008
The course
603
00:26:51,264 --> 00:26:52,288
And son this case
604
00:26:52,800 --> 00:26:55,616
Precisely when it comes to the question of how
605
00:26:55,872 --> 00:27:00,224
Do you think about security and specially how do you communicate with your leadership
606
00:27:00,480 --> 00:27:02,784
And make this threat that exist
607
00:27:03,040 --> 00:27:03,808
Visible
608
00:27:04,064 --> 00:27:06,112
Is precisely what I'm going to
609
00:27:06,368 --> 00:27:06,880
To be speaking about
610
00:27:08,160 --> 00:27:08,928
So we
611
00:27:09,184 --> 00:27:09,952
We often
612
00:27:10,976 --> 00:27:14,048
Think about this in and we work a lot in the space
613
00:27:14,560 --> 00:27:16,864
If you look at our biased you'll see that
614
00:27:17,120 --> 00:27:18,912
We've been doing this for over 10 years
615
00:27:19,168 --> 00:27:20,192
And would work with government
616
00:27:20,448 --> 00:27:23,008
And we work with industry and we work in the number of the main
617
00:27:23,776 --> 00:27:25,568
Applying machine learning in order to
618
00:27:25,824 --> 00:27:27,360
Snakes in the space and in general
619
00:27:27,616 --> 00:27:29,920
It is one of the biggest problems that we face
620
00:27:30,432 --> 00:27:32,992
Especially when it comes to a shortage of the talent
621
00:27:34,272 --> 00:27:35,296
But one of the
622
00:27:35,552 --> 00:27:41,184
Problems with struggle with is that as opposed to a crime that gets exist that gets
623
00:27:41,440 --> 00:27:44,768
Committed in the physical world where you see somebody holding up a gun
624
00:27:45,024 --> 00:27:46,560
Or you see some riot
625
00:27:47,072 --> 00:27:49,376
A lot of what happens in the cyber world
626
00:27:49,632 --> 00:27:50,400
It's not visible
627
00:27:50,912 --> 00:27:51,936
It happens
628
00:27:52,192 --> 00:27:53,216
On wires
629
00:27:53,472 --> 00:27:55,008
It happens on software
630
00:27:55,264 --> 00:27:57,568
And so how do you understand what this threat is
631
00:27:57,824 --> 00:27:59,872
Is one of the questions that we were thinking
632
00:28:00,896 --> 00:28:03,200
Enter address this side with the cybersecurity
633
00:28:03,456 --> 00:28:04,480
Mighty mighty mighty
634
00:28:04,736 --> 00:28:06,272
There's an experiment that was fun
635
00:28:06,784 --> 00:28:08,320
And the experiment was very simple
636
00:28:09,088 --> 00:28:12,672
For those of you who don't know I did Mighty reset on an open network
637
00:28:12,928 --> 00:28:14,976
That means that there are no
638
00:28:15,232 --> 00:28:16,768
Firewall Sterno
639
00:28:17,280 --> 00:28:17,792
Wall
640
00:28:18,048 --> 00:28:19,328
Between the world
641
00:28:19,840 --> 00:28:21,632
Off the internet and networks
642
00:28:21,888 --> 00:28:22,656
And ourselves
643
00:28:23,168 --> 00:28:23,680
We said
644
00:28:23,936 --> 00:28:24,448
Completely open
645
00:28:24,704 --> 00:28:25,984
Which is great for collaboration
646
00:28:26,752 --> 00:28:28,032
It's great to study the spread
647
00:28:28,544 --> 00:28:29,312
And it's also
648
00:28:30,080 --> 00:28:32,896
Anybody that's on the network right
649
00:28:33,152 --> 00:28:39,296
For a long time the pastor has been if you cannot stand on the network on your on you should not be on the network so there went
650
00:28:39,552 --> 00:28:41,344
Meaning of erratic
651
00:28:41,600 --> 00:28:42,368
Apostrophe
652
00:28:42,880 --> 00:28:44,416
Anna has some historical background
653
00:28:45,952 --> 00:28:47,488
The experiment that was run
654
00:28:47,744 --> 00:28:49,536
Was to take a machine
655
00:28:50,304 --> 00:28:52,096
And simply connected to the network
656
00:28:52,352 --> 00:28:54,144
Turn it on connected to the network
657
00:28:54,400 --> 00:28:55,936
No one was going to touch this
658
00:28:56,192 --> 00:28:57,984
This machine it was not going to be used
659
00:28:58,496 --> 00:29:00,544
It was going to be connected for 12 hours
660
00:29:01,312 --> 00:29:02,080
But that was it
661
00:29:02,592 --> 00:29:04,128
Know what Longwood log on
662
00:29:04,384 --> 00:29:06,432
Nothing would be done in this machine other than
663
00:29:06,688 --> 00:29:07,456
Turning it on
664
00:29:07,712 --> 00:29:09,248
And connecting it to the network
665
00:29:10,272 --> 00:29:11,552
And in addition to that
666
00:29:11,808 --> 00:29:13,088
The attack data
667
00:29:13,344 --> 00:29:14,624
Was going to be collected
668
00:29:15,392 --> 00:29:16,672
This attack data
669
00:29:17,184 --> 00:29:19,488
After this 12 hours wisdom process
670
00:29:20,256 --> 00:29:23,840
The eyepiece that were connected to the machine
671
00:29:24,096 --> 00:29:28,448
It was geocoding being done to them meaning it just spatial resolution
672
00:29:28,704 --> 00:29:29,984
Then furthermore
673
00:29:30,240 --> 00:29:32,032
This this Saturday.
674
00:29:32,288 --> 00:29:34,336
Was created on to a KML
675
00:29:34,592 --> 00:29:35,360
File
676
00:29:35,616 --> 00:29:36,384
Which is
677
00:29:36,640 --> 00:29:39,712
Which makes it possible to be able to absorb it at
678
00:29:41,248 --> 00:29:42,272
Global
679
00:29:42,528 --> 00:29:43,552
On a global comp
680
00:29:44,320 --> 00:29:47,136
So what I'm going to show you next is I'm going to show you
681
00:29:48,160 --> 00:29:48,928
Defile
682
00:29:49,184 --> 00:29:49,952
Of the data
683
00:29:50,464 --> 00:29:50,976
That we saw
684
00:29:51,744 --> 00:29:53,024
It's I'm going to go hide
685
00:29:53,280 --> 00:29:54,304
And open up
686
00:29:55,072 --> 00:29:55,584
Google Earth
687
00:29:57,888 --> 00:30:00,192
And then I'm going to go ahead and select
688
00:30:00,960 --> 00:30:01,728
File
689
00:30:02,752 --> 00:30:03,520
Once it comes up
690
00:30:04,288 --> 00:30:05,312
That has this data
691
00:30:07,616 --> 00:30:08,640
I'm going to
692
00:30:10,176 --> 00:30:10,688
Open that up
693
00:30:16,320 --> 00:30:16,832
And
694
00:30:17,088 --> 00:30:18,112
I'm going to
695
00:30:19,136 --> 00:30:19,648
So bad
696
00:30:20,416 --> 00:30:20,928
On the screen
697
00:30:21,184 --> 00:30:22,720
And if you see my little
698
00:30:23,232 --> 00:30:24,000
Spinner there
699
00:30:24,768 --> 00:30:25,536
It's because
700
00:30:26,048 --> 00:30:28,096
Of the tremendous amount of data
701
00:30:28,864 --> 00:30:29,376
.
702
00:30:29,888 --> 00:30:30,656
Is being loaded
703
00:30:31,680 --> 00:30:35,008
And so what you see here is you see
704
00:30:35,776 --> 00:30:38,080
City of Boston of Cambridge Massachusetts
705
00:30:38,848 --> 00:30:42,176
And there are so many connections that you can't even see the map
706
00:30:42,688 --> 00:30:44,736
It is a tremendous
707
00:30:44,992 --> 00:30:45,760
Volume
708
00:30:46,272 --> 00:30:48,832
Of attacks that were launched app on this machine
709
00:30:49,344 --> 00:30:49,856
That was
710
00:30:50,112 --> 00:30:52,416
Just sitting on the side minding its business
711
00:30:53,184 --> 00:30:54,208
There was an effort as well
712
00:30:54,464 --> 00:30:56,000
To provide a resolution
713
00:30:56,256 --> 00:30:57,536
Of all of the host
714
00:30:58,048 --> 00:31:00,352
The ones in red are known to be
715
00:31:00,608 --> 00:31:01,632
Bad
716
00:31:01,888 --> 00:31:02,400
Players
717
00:31:02,912 --> 00:31:04,192
That they're launching attacks
718
00:31:04,704 --> 00:31:05,728
But the rest of it is not
719
00:31:06,240 --> 00:31:08,544
There's also a coordinated pack
720
00:31:08,800 --> 00:31:12,128
Ohmeda coordinated attack by date distributed attacks throughout the world
721
00:31:12,896 --> 00:31:15,712
Very much every single country on the planet
722
00:31:16,224 --> 00:31:18,784
Is represented with a couple of exceptions
723
00:31:19,552 --> 00:31:20,064
I can let
724
00:31:20,320 --> 00:31:20,832
You are
725
00:31:21,088 --> 00:31:23,136
Two guesses what those are when
726
00:31:23,392 --> 00:31:23,904
In the comments
727
00:31:24,416 --> 00:31:26,720
I bet if I start going across the world in the
728
00:31:26,976 --> 00:31:30,048
Resolution here is a little choppy because we are projecting
729
00:31:30,304 --> 00:31:33,120
But you can get a sense here of what
730
00:31:34,400 --> 00:31:36,448
What's taking place throughout the world
731
00:31:36,960 --> 00:31:38,240
And it is pretty
732
00:31:38,496 --> 00:31:39,520
Solid coverage
733
00:31:39,776 --> 00:31:40,288
Throughout
734
00:31:41,312 --> 00:31:43,104
So let me go ahead and go back
735
00:31:43,616 --> 00:31:44,128
2
736
00:31:45,408 --> 00:31:45,920
My slides
737
00:31:46,944 --> 00:31:47,712
An exit
738
00:31:47,968 --> 00:31:48,480
My
739
00:31:50,016 --> 00:31:51,040
My environments here
740
00:31:54,368 --> 00:31:56,672
And I machine gets a little bit overwhelmed from all the day
741
00:31:56,928 --> 00:31:57,696
The data
742
00:32:07,424 --> 00:32:11,264
Tremendous the one thing that I'll mention is that
743
00:32:11,520 --> 00:32:13,312
When it comes to communicating with leadership
744
00:32:14,080 --> 00:32:15,872
This is one of the most effective
745
00:32:16,128 --> 00:32:16,896
I wish
746
00:32:17,152 --> 00:32:18,176
Audi
747
00:32:18,688 --> 00:32:21,760
The history of MIT that I started to mention and the
748
00:32:22,528 --> 00:32:23,808
Posture
749
00:32:24,320 --> 00:32:25,088
And the policy
750
00:32:25,344 --> 00:32:26,880
The administration had taken
751
00:32:27,136 --> 00:32:29,952
I do to a good historical reasons that we could get into
752
00:32:30,464 --> 00:32:32,256
Was for the very first time
753
00:32:32,768 --> 00:32:35,328
When the administration saw this picture they said
754
00:32:36,608 --> 00:32:38,400
Maybe we should consider firewalls
755
00:32:38,656 --> 00:32:40,448
Maybe we should consider
756
00:32:40,704 --> 00:32:41,472
Additional measures
757
00:32:42,496 --> 00:32:46,336
I can share with you that now there is an option to opt then
758
00:32:46,848 --> 00:32:48,384
To get this types of protections
759
00:32:48,640 --> 00:32:50,688
And in large part it was motivated
760
00:32:50,944 --> 00:32:54,016
By this time of visibility this type of understand
761
00:32:55,040 --> 00:32:57,856
This is this is a a good take away from the
762
00:32:58,368 --> 00:33:02,720
Dealers things to know as well as that the web is now a very large place
763
00:33:02,976 --> 00:33:05,536
At the latest count of the Google index
764
00:33:06,048 --> 00:33:07,840
130 trillion pages
765
00:33:09,120 --> 00:33:09,632
Huge space
766
00:33:10,400 --> 00:33:15,264
At the same time if I were to ask you how long would it take to scan the entire internet
767
00:33:15,776 --> 00:33:18,592
This would be something that most likely
768
00:33:18,848 --> 00:33:20,384
It would say it would take a very long
769
00:33:21,408 --> 00:33:23,712
In for a long time it did take a long time
770
00:33:24,224 --> 00:33:27,296
And this is one of those things that going back to what John was saying
771
00:33:27,552 --> 00:33:28,832
These assumptions that we need to
772
00:33:29,088 --> 00:33:30,368
Reverse that over and over
773
00:33:30,880 --> 00:33:31,904
You can now
774
00:33:32,160 --> 00:33:33,696
Scan the entire internet
775
00:33:33,952 --> 00:33:36,256
That's a 10 million packets per second
776
00:33:36,512 --> 00:33:37,280
In about 6 minutes
777
00:33:37,792 --> 00:33:40,352
So that means that you can launch the type of tax
778
00:33:41,120 --> 00:33:43,680
In cybercriminals are like any other industry
779
00:33:43,936 --> 00:33:45,216
They're creating business products
780
00:33:45,472 --> 00:33:47,264
And they're trying to exploit this vulnerability
781
00:33:47,776 --> 00:33:51,872
With this type of capabilities you can imagine the type of blanket coverage they can
782
00:33:53,408 --> 00:33:53,920
I shouldn't
783
00:33:54,176 --> 00:33:59,040
B2 negative because at the same time and it's also capabilities that the good guys have
784
00:33:59,296 --> 00:33:59,808
And they can start
785
00:34:00,064 --> 00:34:02,880
To get a sense of the bad players on the global
786
00:34:03,136 --> 00:34:06,208
Scale so it is that type of arms race that
787
00:34:07,488 --> 00:34:11,584
Is common in the space I should also say that we talk about patterns and we talk
788
00:34:11,840 --> 00:34:12,352
About waist
789
00:34:12,608 --> 00:34:13,120
To address this
790
00:34:13,376 --> 00:34:14,912
And we try hard
791
00:34:15,424 --> 00:34:16,192
Not to do
792
00:34:16,448 --> 00:34:17,728
The fight the fear in certain
793
00:34:17,984 --> 00:34:19,264
X with it
794
00:34:19,776 --> 00:34:21,824
Cyber-security space is hard not to do
795
00:34:22,080 --> 00:34:23,360
But we give you some good
796
00:34:23,616 --> 00:34:25,152
Ways to to look at
797
00:34:25,408 --> 00:34:25,920
This problem
798
00:34:26,176 --> 00:34:28,992
The last one that I mentioned in this one simply and in the
799
00:34:29,248 --> 00:34:29,760
The contacts
800
00:34:31,296 --> 00:34:34,368
Thinking about examples that are accessible in the
801
00:34:34,624 --> 00:34:36,160
You can share with your organization
802
00:34:36,416 --> 00:34:39,488
Is an example of an experiment that was run the summer
803
00:34:39,744 --> 00:34:41,536
And wear a 225
804
00:34:41,792 --> 00:34:42,816
GPS spoofer
805
00:34:43,328 --> 00:34:43,840
Was
806
00:34:44,352 --> 00:34:45,120
Could be used
807
00:34:45,376 --> 00:34:46,144
To disrupt
808
00:34:46,400 --> 00:34:46,912
GPS
809
00:34:47,424 --> 00:34:50,240
And you can see here sort of the alarm is headline right that
810
00:34:50,752 --> 00:34:52,544
Swiffer can send vehicles on to you
811
00:34:52,800 --> 00:34:53,824
Oncoming traffic
812
00:34:54,080 --> 00:34:55,616
You can see their the components
813
00:34:55,872 --> 00:34:57,920
It's a Raspberry Pi which is
814
00:34:58,176 --> 00:34:59,456
A very low-cost computer
815
00:34:59,712 --> 00:35:02,272
And a handful of other off-the-shelf pipe component
816
00:35:02,784 --> 00:35:03,552
Answer again
817
00:35:03,808 --> 00:35:04,832
This makes
818
00:35:05,088 --> 00:35:05,856
Death threat
819
00:35:06,368 --> 00:35:10,976
Real it makes it accessible and this is a good way often to communicate
820
00:35:11,232 --> 00:35:11,744
With the leadership
821
00:35:12,000 --> 00:35:14,816
And you should have company at with many of the other
822
00:35:15,072 --> 00:35:15,840
Parts that we will
823
00:35:16,096 --> 00:35:17,120
Covering the course
824
00:35:17,376 --> 00:35:20,192
Habitat we wanted to give you a specific taste
825
00:35:20,448 --> 00:35:21,728
Of some of the lessons
826
00:35:21,984 --> 00:35:27,104
That you will be seeing in the class a company invite exercises that would have Hands-On
827
00:35:27,360 --> 00:35:28,128
Touching of the
828
00:35:28,384 --> 00:35:29,152
Technology
829
00:35:30,176 --> 00:35:31,200
That'll pass it back
830
00:35:35,040 --> 00:35:41,184
Thank you both I think that was a really great introduction to the concepts that we
831
00:35:41,440 --> 00:35:42,464
Will be talking about
832
00:35:42,720 --> 00:35:46,816
In the course and some of the amazing content that you can expect
833
00:35:47,072 --> 00:35:47,840
Here so
834
00:35:48,096 --> 00:35:53,216
Let me go back to the slides that I had here so
835
00:35:54,752 --> 00:36:00,896
Just take a few more minutes to give you a little bit more of an orientation around the course
836
00:36:01,408 --> 00:36:03,456
And what you might
837
00:36:03,712 --> 00:36:05,760
Stacked in in coming into this
838
00:36:06,016 --> 00:36:06,528
Horse likes
839
00:36:06,784 --> 00:36:07,296
Stokes
840
00:36:07,552 --> 00:36:11,392
So we divided the course really into four main chunk
841
00:36:11,648 --> 00:36:13,184
Blockchain
842
00:36:13,440 --> 00:36:17,024
Cloud artificial intelligence and iot in Cypress
843
00:36:17,280 --> 00:36:17,792
Security
844
00:36:18,048 --> 00:36:20,864
And within that within each chunk
845
00:36:21,120 --> 00:36:24,704
We have a bunch of videos with with
846
00:36:24,960 --> 00:36:31,104
Are two professors here who who talk about some of these Concepts and and help you learn
847
00:36:31,360 --> 00:36:36,480
A little bit about the technology and and and the implications of the technology
848
00:36:36,992 --> 00:36:41,600
But then the other part of the course which is really exciting is Summit are some of these
849
00:36:41,856 --> 00:36:42,624
Exercises
850
00:36:42,880 --> 00:36:44,160
A van
851
00:36:44,416 --> 00:36:47,488
What's John and Abel talked about these hands on tools
852
00:36:47,744 --> 00:36:48,768
This is a contact
853
00:36:49,024 --> 00:36:55,168
Sports we brought this into the course and really give you the opportunity to work with you
854
00:36:55,424 --> 00:36:56,192
These Technologies
855
00:36:56,704 --> 00:37:02,848
And I'm in in really play around and get it again a better sense for what you can do even at your own death
856
00:37:03,104 --> 00:37:03,616
Stop
857
00:37:04,128 --> 00:37:09,760
So we'll talk about that just a little bit more in a minute but I think that's a really exciting
858
00:37:10,016 --> 00:37:10,784
Part of this
859
00:37:11,040 --> 00:37:11,552
Course
860
00:37:12,320 --> 00:37:16,672
So just to kind of highlight some of the course features again we've got these
861
00:37:16,928 --> 00:37:17,952
Fantastic
862
00:37:18,208 --> 00:37:24,352
Faculty members here that you learn from in video form
863
00:37:24,864 --> 00:37:26,656
And then we've got these days
864
00:37:26,912 --> 00:37:28,960
Incredible Hands-On activities I just
865
00:37:29,216 --> 00:37:30,240
Hold a couple of
866
00:37:30,496 --> 00:37:33,056
Examples here I just
867
00:37:33,312 --> 00:37:34,336
That this is
868
00:37:34,592 --> 00:37:37,664
This is not a spectator
869
00:37:38,688 --> 00:37:40,224
Spectator type of course
870
00:37:40,736 --> 00:37:43,808
This is a course where you're really going to have to actually
871
00:37:44,064 --> 00:37:46,624
Download things onto your computer
872
00:37:46,880 --> 00:37:47,904
Create account
873
00:37:48,160 --> 00:37:53,024
And actually do things like creating your own cyber currency
874
00:37:53,280 --> 00:37:59,424
You know assessing your own sweats how websites are are interacting with the outside
875
00:37:59,680 --> 00:38:00,192
Edd world
876
00:38:00,448 --> 00:38:05,312
These are all things that you will actually do in this course and and you'll be able to
877
00:38:05,568 --> 00:38:08,384
You'll learn how to how to take a real Hands-On approach
878
00:38:08,896 --> 00:38:11,712
I think this makes this course incredibly unique
879
00:38:11,968 --> 00:38:12,736
Enrich
880
00:38:13,760 --> 00:38:16,320
The final feature that I just wanted to
881
00:38:16,576 --> 00:38:22,720
I'm highlight with you is the fact that if you take this course you'll be able to continue to interact
882
00:38:23,232 --> 00:38:29,376
With these two guys with Abel and John and and get the opportunity to take webinar
883
00:38:29,632 --> 00:38:30,144
Guys with them
884
00:38:30,400 --> 00:38:36,544
And importantly we also have a mighty learning facilitators that will be with you all
885
00:38:36,800 --> 00:38:37,824
All along the way
886
00:38:38,080 --> 00:38:42,688
So these are many of them are actually tables former students
887
00:38:42,944 --> 00:38:49,088
These are people that are our experts in this area that are available to you
888
00:38:49,344 --> 00:38:50,880
U2 office hours
889
00:38:51,136 --> 00:38:53,440
And through interacting with you on
890
00:38:53,696 --> 00:38:55,488
Discussion boards in any other ways
891
00:38:55,744 --> 00:39:00,608
To help make sure that your understanding the material that you get any help in some
892
00:39:00,864 --> 00:39:03,168
Support that you need as you go through the course
893
00:39:03,936 --> 00:39:07,264
So we're very pleased to be able to have these guys as
894
00:39:07,520 --> 00:39:08,288
Part of the course
895
00:39:08,800 --> 00:39:12,128
And again and I think this brings a nice tan
896
00:39:12,384 --> 00:39:13,408
A nice sense of
897
00:39:13,664 --> 00:39:14,944
Portland Community
898
00:39:15,200 --> 00:39:16,480
To The Learning Experience
899
00:39:18,272 --> 00:39:24,160
Again this is this course is brought to you from by MIT professional education
900
00:39:24,416 --> 00:39:30,560
That is really is Mission is really to provide this gateway to what's going on at MIT
901
00:39:31,072 --> 00:39:33,888
Through these types of Education
902
00:39:36,448 --> 00:39:42,080
So it is these are all in as you can see these are faculty Todd
903
00:39:42,336 --> 00:39:47,200
3D School of Engineering and and they have a lot of on site
904
00:39:47,456 --> 00:39:49,504
On-campus programs
905
00:39:50,016 --> 00:39:53,600
And then a growing portfolio of online programs
906
00:39:55,392 --> 00:39:56,160
Okay
907
00:39:56,416 --> 00:40:02,560
So with that I think it's time for us to turn to the growing number of Q&A
908
00:40:03,072 --> 00:40:05,888
Questions that are that are showing up in our Q&A box
909
00:40:06,400 --> 00:40:09,472
So I'm going to go ahead and start
910
00:40:09,728 --> 00:40:12,288
Looking through these and I'll pitch some of these
911
00:40:12,800 --> 00:40:13,824
So
912
00:40:14,080 --> 00:40:16,640
Lisa I tie I took a look at
913
00:40:17,152 --> 00:40:18,688
The Q&A and there was a question
914
00:40:18,944 --> 00:40:22,784
Facebook none of this one but it was from 10 people considering taking the course
915
00:40:23,296 --> 00:40:24,832
And they're asking how they might
916
00:40:25,088 --> 00:40:26,880
Convinced that manager to pay for
917
00:40:30,464 --> 00:40:32,768
My my answer to that is but
918
00:40:33,280 --> 00:40:38,144
Wiggle give you tools for example let's suppose you have a website
919
00:40:39,168 --> 00:40:40,960
You're implying people to design your website
920
00:40:41,728 --> 00:40:44,544
We can show you how to test out that website
921
00:40:45,056 --> 00:40:47,616
And find out whether it's performance will not
922
00:40:48,128 --> 00:40:51,456
And we can show you how to do that literally in 22nd
923
00:40:52,224 --> 00:40:54,784
Was built in
924
00:40:55,296 --> 00:40:56,320
You can deploy
925
00:40:56,576 --> 00:40:58,368
Very easily passed out a website
926
00:40:59,136 --> 00:41:00,416
The other one is
927
00:41:01,184 --> 00:41:01,696
Putting up
928
00:41:01,952 --> 00:41:03,232
A web server yourself
929
00:41:03,488 --> 00:41:05,536
Literally you can do it in 20 seconds
930
00:41:06,304 --> 00:41:07,072
So
931
00:41:07,328 --> 00:41:10,656
If you want to convince your manager that you should take this call
932
00:41:11,168 --> 00:41:12,192
It's because
933
00:41:12,704 --> 00:41:18,336
You'll be able to not only control your subcontractors but you'll be able to do things yourself that
934
00:41:18,592 --> 00:41:20,384
You color salt with difficult
935
00:41:20,640 --> 00:41:22,176
But now it's become much easier
936
00:41:22,688 --> 00:41:23,456
So
937
00:41:23,712 --> 00:41:25,760
You know the world is becoming too small complex
938
00:41:26,016 --> 00:41:26,528
Play
939
00:41:26,784 --> 00:41:28,320
The things that used to be difficult
940
00:41:28,576 --> 00:41:29,600
I'm now quite easy
941
00:41:30,368 --> 00:41:32,928
And we want to show you some of those things
942
00:41:33,952 --> 00:41:37,024
That's my answers the yolk
943
00:41:37,280 --> 00:41:38,304
We just about Steve
944
00:41:39,072 --> 00:41:44,192
That we say we're going to take you from being able to run $20 an hour to $200 an hour
945
00:41:45,984 --> 00:41:48,032
Believe me after this course
946
00:41:48,288 --> 00:41:49,312
You'll be worth a lot more
947
00:41:49,824 --> 00:41:55,199
That's a great point then I'll share an experience with their own students
948
00:41:55,711 --> 00:41:57,247
If you think about it
949
00:41:57,503 --> 00:42:00,063
The technology that you would need to be able to do
950
00:42:00,319 --> 00:42:02,623
A recognition of students in the class
951
00:42:03,135 --> 00:42:06,463
There was an effort by a group of them to try to create
952
00:42:06,719 --> 00:42:09,791
The equivalent of a digital PA that gives you
953
00:42:10,047 --> 00:42:12,351
Credit for participation in class
954
00:42:12,607 --> 00:42:15,167
And one of them would be simply was in class are you paying attention
955
00:42:16,191 --> 00:42:22,335
Now you could go away and study the algorithms you could study the theory you could write the code and two years later
956
00:42:22,591 --> 00:42:23,871
Maybe you have
957
00:42:24,127 --> 00:42:25,151
Prototype
958
00:42:25,663 --> 00:42:27,967
A group of students in our class did that
959
00:42:29,247 --> 00:42:32,575
And the reason they did it is because they're using very much the same principles that
960
00:42:33,087 --> 00:42:34,367
We are sharing with you
961
00:42:34,879 --> 00:42:39,999
They're laying or or making use of the abstractions that exist that are very powerful
962
00:42:40,255 --> 00:42:43,839
And allow you to be a lot more productive so when it comes to Roi
963
00:42:44,095 --> 00:42:46,143
I think about that think that
964
00:42:46,399 --> 00:42:47,423
You're saving time
965
00:42:47,679 --> 00:42:49,983
You're making better decisions
966
00:42:50,239 --> 00:42:52,287
And I think that would be a strong argument
967
00:42:53,055 --> 00:42:54,591
Or they said there's a story to share the
968
00:42:57,663 --> 00:42:59,199
That's great thank you
969
00:42:59,455 --> 00:43:05,599
There's a number of people in suspense scanning the question to number people are at this is more of the administrator
970
00:43:05,855 --> 00:43:08,415
Just kind of wondering about the live sessions and
971
00:43:08,671 --> 00:43:09,951
And those types of things
972
00:43:10,207 --> 00:43:16,351
The live sessions will be a combination will have some with these guys and then we'll have office hours
973
00:43:16,607 --> 00:43:18,911
With your learning facilitators
974
00:43:19,167 --> 00:43:22,751
The learning facilitators will be scheduling those throughout the week
975
00:43:23,007 --> 00:43:24,287
So that you can join when it's
976
00:43:24,543 --> 00:43:25,823
When you have
977
00:43:27,359 --> 00:43:29,919
The time to do so when it fits with your schedule
978
00:43:30,175 --> 00:43:36,319
Live sessions with with John and Abel will generally be around this time
979
00:43:36,575 --> 00:43:38,367
Time of day so
980
00:43:38,623 --> 00:43:40,927
You know they're located here in in
981
00:43:41,183 --> 00:43:42,719
Cambridge Massachusetts so
982
00:43:42,975 --> 00:43:46,047
So we generally on schedule those for the
983
00:43:46,303 --> 00:43:49,375
For the beginning of the day East Coast time so that
984
00:43:49,631 --> 00:43:52,447
That tends to spend the most
985
00:43:52,703 --> 00:43:56,287
Time zones for everybody I know it doesn't always work for everyone but that's
986
00:43:56,543 --> 00:43:58,847
We did the best we can with the global audience
987
00:43:59,359 --> 00:44:03,711
We do record every session so if you're not able to attend
988
00:44:03,967 --> 00:44:08,575
You'll certainly have access to the recording and so so not to worry
989
00:44:09,599 --> 00:44:12,671
Other than that that the course is fairly self-paced
990
00:44:12,927 --> 00:44:16,255
And somebody else was asking about how it works we will
991
00:44:16,511 --> 00:44:18,815
Roll out new material every week
992
00:44:19,327 --> 00:44:24,447
And with that material there will be a new set of assignments to go through
993
00:44:24,703 --> 00:44:29,823
And I'm you questions for you to to explore and and Technologies for you.
994
00:44:30,079 --> 00:44:30,591
Explorer
995
00:44:33,407 --> 00:44:36,223
How you when you say roll lives I mean this website
996
00:44:36,479 --> 00:44:38,783
Correct material is going to be on the web
997
00:44:39,039 --> 00:44:43,647
That's right that's right we have at a learning management system at a platform
998
00:44:43,903 --> 00:44:45,951
So to speak that where we have everything
999
00:44:46,207 --> 00:44:47,743
We don't we
1000
00:44:47,999 --> 00:44:50,303
This is a test totally self-paced course
1001
00:44:50,815 --> 00:44:55,167
So we do open up it open up new material every week
1002
00:44:55,423 --> 00:44:58,751
So that everyone is going through it more or less at the same time
1003
00:44:59,007 --> 00:45:04,383
And we do that again because we're creating this community and we have discussion boards when you can be
1004
00:45:04,639 --> 00:45:06,175
Talking to each other in
1005
00:45:07,455 --> 00:45:08,479
Thank you
1006
00:45:10,783 --> 00:45:16,927
At least I just a comment on some of the questions that I'm seeing in there some question around is it more of a business course or more
1007
00:45:17,183 --> 00:45:18,463
More of an engineering course and
1008
00:45:19,231 --> 00:45:21,023
You know how much of the code do you need to touch
1009
00:45:21,279 --> 00:45:26,399
Is John mention where we're shooting for that 5-minute experience that can ground your thinking
1010
00:45:26,911 --> 00:45:29,215
And for example I do an example of
1011
00:45:29,727 --> 00:45:34,847
How do you create a chatbot write a chatbot uses artificial intelligence that uses
1012
00:45:36,127 --> 00:45:36,895
Data
1013
00:45:37,151 --> 00:45:38,175
Enlarge
1014
00:45:38,943 --> 00:45:42,015
And large collections that have been amassed by the big vendors
1015
00:45:42,527 --> 00:45:43,551
And I do in 5 minutes
1016
00:45:44,063 --> 00:45:45,343
Right and so
1017
00:45:45,855 --> 00:45:46,367
Having
1018
00:45:46,623 --> 00:45:47,647
Create a chatbot
1019
00:45:48,159 --> 00:45:49,439
It's completely different
1020
00:45:49,695 --> 00:45:50,463
And you will never
1021
00:45:50,975 --> 00:45:53,279
Never have the same level of understanding
1022
00:45:53,535 --> 00:45:54,303
If you've touched it
1023
00:45:54,559 --> 00:45:55,071
If you've done it
1024
00:45:55,327 --> 00:45:57,119
Verses that if you've just read about it
1025
00:45:57,375 --> 00:45:59,935
And so we are asking you to touch technology
1026
00:46:00,447 --> 00:46:04,543
But we're very conscious that you're not going to be a computer scientist
1027
00:46:04,799 --> 00:46:05,823
And that you do not have
1028
00:46:06,847 --> 00:46:08,383
Too much time because this is
1029
00:46:08,895 --> 00:46:10,175
Professional education so
1030
00:46:10,431 --> 00:46:15,807
We are sticking to the hours per week and maybe you can say something about the volume of work Lisa
1031
00:46:16,319 --> 00:46:17,599
But we do
1032
00:46:18,111 --> 00:46:20,415
We have created this course with that in mind
1033
00:46:20,671 --> 00:46:21,951
That you're not a technology
1034
00:46:22,207 --> 00:46:23,231
Is that you're not an engineer
1035
00:46:23,743 --> 00:46:24,511
But that you
1036
00:46:24,767 --> 00:46:25,279
You will be able
1037
00:46:26,047 --> 00:46:27,327
A lot of fun
1038
00:46:27,583 --> 00:46:29,887
Being able to create a chatbot
1039
00:46:30,399 --> 00:46:31,935
Being able to create a cryptocurrency
1040
00:46:33,215 --> 00:46:33,727
It's
1041
00:46:33,983 --> 00:46:35,263
It really opens up
1042
00:46:35,519 --> 00:46:36,543
Your palate
1043
00:46:36,799 --> 00:46:37,823
Thinking and
1044
00:46:38,079 --> 00:46:39,103
That's an exciting
1045
00:46:40,383 --> 00:46:46,527
Yes we really do want to get your hand you want we want you to get your hands dirty with this stuff without without
1046
00:46:46,783 --> 00:46:50,879
Getting to bog down and in the technology behind it but to give you that
1047
00:46:51,135 --> 00:46:52,159
That
1048
00:46:52,415 --> 00:46:56,255
Flavor fruit for how does actually work so you're not just looking at it
1049
00:46:56,511 --> 00:46:57,535
Conceptually
1050
00:46:57,791 --> 00:46:59,071
You can really get a sense
1051
00:46:59,327 --> 00:47:01,119
For some of the tools that are out there
1052
00:47:01,887 --> 00:47:02,399
Amazing
1053
00:47:02,655 --> 00:47:06,495
Amazing amazing the way that we we bring meat into the course
1054
00:47:07,007 --> 00:47:09,567
The learning effort
1055
00:47:09,823 --> 00:47:15,967
Generally Beast a four to six hours a week of that to some of that time is spent on video
1056
00:47:16,479 --> 00:47:17,247
And then the other
1057
00:47:17,503 --> 00:47:18,783
Part of that time is spent
1058
00:47:19,039 --> 00:47:24,159
I'm theone on the assignments would you also have some knowledge checks just to make sure that you're
1059
00:47:24,415 --> 00:47:26,463
I'm understanding what's going on in this
1060
00:47:26,719 --> 00:47:28,255
If you're not getting a concept 2
1061
00:47:28,767 --> 00:47:30,559
CSUN alert yourself that you needs it
1062
00:47:30,815 --> 00:47:32,607
Go back and review something
1063
00:47:32,863 --> 00:47:37,727
But a lot of the focus is really on these application activities
1064
00:47:38,239 --> 00:47:39,007
So
1065
00:47:39,263 --> 00:47:40,287
So that's fantastic
1066
00:47:40,799 --> 00:47:46,943
I think we could answer this question but I keep seeing it so many times that people are wondering is this
1067
00:47:47,199 --> 00:47:50,527
Just appropriate for me if I'm self-employed and not part of an organization
1068
00:47:51,039 --> 00:47:54,623
I'm a consultant to organizations but I don't have my own organization
1069
00:47:54,879 --> 00:47:59,487
I would say absolutely there's there's nothing that says you need to be part of an organization
1070
00:47:59,743 --> 00:48:00,511
To do this
1071
00:48:02,815 --> 00:48:07,935
Lisa and this new gig economy going to be working
1072
00:48:10,751 --> 00:48:13,823
So absolutely I saw I saw there was a question from a lawyer
1073
00:48:14,335 --> 00:48:15,103
Honey
1074
00:48:15,615 --> 00:48:17,151
And actually
1075
00:48:17,919 --> 00:48:21,247
The whole side of security area is opening up for attorney
1076
00:48:22,015 --> 00:48:25,087
We have we have some coming lecture about summer cool
1077
00:48:27,135 --> 00:48:28,671
The first thing that happens if you are attacked
1078
00:48:28,927 --> 00:48:30,207
Get yourself a good attorney
1079
00:48:32,767 --> 00:48:34,047
A man that serious advice
1080
00:48:34,559 --> 00:48:35,583
So some of these things
1081
00:48:35,839 --> 00:48:36,607
As well
1082
00:48:37,119 --> 00:48:40,191
You know we're very much aware of the business contacts
1083
00:48:41,215 --> 00:48:41,983
But I think
1084
00:48:42,239 --> 00:48:44,543
It's this kind of new tooling which is
1085
00:48:44,799 --> 00:48:46,335
Changing the way business works
1086
00:48:47,103 --> 00:48:47,871
I'm so
1087
00:48:48,383 --> 00:48:50,431
For you to make decisions these days
1088
00:48:50,687 --> 00:48:52,991
You need to understand not just
1089
00:48:54,015 --> 00:48:56,575
The very high level was able was saying
1090
00:48:56,831 --> 00:48:58,111
You can read about this
1091
00:48:59,647 --> 00:49:00,927
Until you touched it
1092
00:49:01,439 --> 00:49:04,255
You want have a good understanding of what it can do when what
1093
00:49:04,511 --> 00:49:05,023
Concert
1094
00:49:05,535 --> 00:49:08,095
And that's what we want to give you the
1095
00:49:08,351 --> 00:49:10,911
And I'm wearing Susie Astic about some of these things
1096
00:49:11,167 --> 00:49:13,471
But we're also a very much aware of
1097
00:49:13,727 --> 00:49:15,519
The difficulties on the
1098
00:49:17,055 --> 00:49:18,847
Maybe the failing season
1099
00:49:21,151 --> 00:49:21,919
Haha
1100
00:49:22,687 --> 00:49:28,831
It was a dream if you like for many years and now it's happened and it didn't quite happen
1101
00:49:31,647 --> 00:49:32,671
Technologies going to be like
1102
00:49:34,975 --> 00:49:37,023
We will give you that hands-on experience
1103
00:49:39,583 --> 00:49:40,607
If that's okay
1104
00:49:41,887 --> 00:49:43,679
On the table saying you know we have stayed
1105
00:49:43,935 --> 00:49:44,447
Weeks
1106
00:49:44,959 --> 00:49:45,471
Can write
1107
00:49:45,727 --> 00:49:46,495
Something that
1108
00:49:47,263 --> 00:49:49,567
5 years ago I would probably
1109
00:49:49,823 --> 00:49:50,847
$5000000
1110
00:49:52,383 --> 00:49:53,151
You know right
1111
00:49:53,407 --> 00:49:53,919
10 diploid
1112
00:49:54,175 --> 00:49:55,199
And now you can do it in the
1113
00:49:57,503 --> 00:50:01,343
And just to add to that because of the questions that I'm seeing is
1114
00:50:01,599 --> 00:50:07,231
Someone wrote about how to challenge a technology team when they're making a presentation
1115
00:50:07,743 --> 00:50:13,887
In one of the things that we often see both John and I especially in the area of blockchain and we cringe
1116
00:50:14,143 --> 00:50:16,703
The claims that are being made
1117
00:50:16,959 --> 00:50:19,007
Is that there's a lot of misinformation
1118
00:50:19,263 --> 00:50:21,055
A lot of products that
1119
00:50:21,311 --> 00:50:22,335
Don't really exist
1120
00:50:22,591 --> 00:50:24,895
And yet they're being successful in the market and so
1121
00:50:25,151 --> 00:50:26,687
We will speak to this quite a bit during
1122
00:50:26,943 --> 00:50:28,735
Course in and give you some
1123
00:50:28,991 --> 00:50:31,039
Some Basics that you can carry cereal
1124
00:50:31,295 --> 00:50:32,319
CNN
1125
00:50:32,831 --> 00:50:33,855
And certainly
1126
00:50:34,111 --> 00:50:36,927
Be able to see weather say a cryptocurrency
1127
00:50:37,439 --> 00:50:38,719
Has any Merit
1128
00:50:38,975 --> 00:50:42,559
Or any of the claims that they are making our are actually
1129
00:50:42,815 --> 00:50:43,839
Have a chance of
1130
00:50:44,095 --> 00:50:44,607
The Impossible
1131
00:50:50,751 --> 00:50:51,775
Let's see what
1132
00:50:52,031 --> 00:50:56,383
What else can we can we ask I think a lot of people I've seen a lot of
1133
00:50:56,639 --> 00:50:59,199
Common themes in the in the questions here
1134
00:51:04,575 --> 00:51:08,415
I know one person ask then again this is a little bit more on the administrative side
1135
00:51:08,671 --> 00:51:14,815
Some concern about the holidays what do I do do I want to start a course when the holidays are coming
1136
00:51:15,071 --> 00:51:16,863
I will tell you that we take
1137
00:51:17,119 --> 00:51:23,263
I'm a couple of weeks off during the holidays and we don't release new material during that the holiday
1138
00:51:23,519 --> 00:51:25,823
Headaches during the two-week of
1139
00:51:26,079 --> 00:51:29,407
Two weeks of the holiday season I think it's Christmas week and New Year's week
1140
00:51:29,919 --> 00:51:36,063
So if that's a concern not to worry we actually stretch this course out a little bit to accommodate that
1141
00:51:36,575 --> 00:51:42,719
So you can so so you can rest assured it won't say it won't ruin your holiday season although
1142
00:51:43,231 --> 00:51:49,375
I think many people likes to suspend that time kind of catching up and you'll have so many new things to play with if
1143
00:51:49,631 --> 00:51:52,959
You do like technology so you can use the holidays too
1144
00:51:53,215 --> 00:51:55,007
To go back in and play some more
1145
00:51:56,287 --> 00:51:57,311
So
1146
00:51:58,079 --> 00:51:59,359
Alright
1147
00:51:59,615 --> 00:52:01,663
So I think we've got
1148
00:52:02,175 --> 00:52:04,479
And also some questions and that in the chat
1149
00:52:04,735 --> 00:52:07,551
I do encourage you to put it into the Q&A box
1150
00:52:09,087 --> 00:52:10,367
So
1151
00:52:10,623 --> 00:52:12,671
So anyway so let me look over here and
1152
00:52:16,511 --> 00:52:19,327
This is kind of an interesting question this
1153
00:52:19,583 --> 00:52:24,447
Participant is asking about my role is to identify use cases based on AI
1154
00:52:24,959 --> 00:52:31,103
RPA Based on data dump slice-and-dice using text analysis can I be able to create you
1155
00:52:31,359 --> 00:52:33,919
Cases of blockchain chain iot
1156
00:52:34,175 --> 00:52:38,783
That kind of thing and it is from this course will this help them
1157
00:52:39,807 --> 00:52:41,343
Put together use cases
1158
00:52:42,623 --> 00:52:44,415
Honest Technologies
1159
00:52:44,671 --> 00:52:46,207
Lisa ammonite
1160
00:52:46,719 --> 00:52:48,511
So what type of light ticket cost
1161
00:52:49,791 --> 00:52:51,583
Introduction to Computing and data science
1162
00:52:52,351 --> 00:52:54,399
So one of the things we can cover it
1163
00:52:54,655 --> 00:52:55,167
In depth
1164
00:52:55,679 --> 00:52:58,495
Is one of the biggest problems with data science
1165
00:52:58,751 --> 00:53:00,543
Exactly cleaning the data
1166
00:53:00,799 --> 00:53:02,847
Resting the day for into a form
1167
00:53:03,103 --> 00:53:05,151
But you can deploy Tool song
1168
00:53:05,663 --> 00:53:07,711
I'm so we actually cover that
1169
00:53:08,223 --> 00:53:08,991
Quite well
1170
00:53:10,783 --> 00:53:13,087
So the first part of the question to buy
1171
00:53:13,343 --> 00:53:17,183
Actually handling realdata we do that
1172
00:53:18,719 --> 00:53:21,279
It's amazing insights you can get from
1173
00:53:21,535 --> 00:53:24,351
From data I was going to talk about Boston we got
1174
00:53:24,607 --> 00:53:26,399
The whole lot of Boston
1175
00:53:26,655 --> 00:53:28,447
Cities data
1176
00:53:28,703 --> 00:53:31,263
What they pay people unemployment
1177
00:53:31,519 --> 00:53:34,335
And it gives you amazing insights into Highway city is wrong
1178
00:53:34,847 --> 00:53:36,639
Really scary inside
1179
00:53:37,663 --> 00:53:39,711
Sentinel
1180
00:53:40,223 --> 00:53:43,295
You know this intense now instrumentation of the corporation
1181
00:53:44,063 --> 00:53:46,623
Is something that everyone is doing
1182
00:53:47,135 --> 00:53:48,415
But the problem is
1183
00:53:48,671 --> 00:53:49,695
What do you do with that date
1184
00:53:50,463 --> 00:53:51,999
So having lots of data
1185
00:53:52,255 --> 00:53:52,767
Is
1186
00:53:54,559 --> 00:53:56,095
Let It Go you need to clean it
1187
00:53:56,351 --> 00:53:58,399
And make sure that you connect
1188
00:53:58,655 --> 00:53:59,167
Actually
1189
00:53:59,423 --> 00:54:00,959
Deploy the tools on it
1190
00:54:01,215 --> 00:54:01,983
Cleveland
1191
00:54:02,239 --> 00:54:03,263
An understand what it means
1192
00:54:03,775 --> 00:54:07,359
And so being a data scientist is going to what are the things that with t
1193
00:54:07,615 --> 00:54:08,127
Teaching us to
1194
00:54:08,639 --> 00:54:10,943
And based on that experience
1195
00:54:11,455 --> 00:54:12,735
It's part of this course as well
1196
00:54:14,271 --> 00:54:15,295
Mates rates
1197
00:54:15,551 --> 00:54:19,647
Just to be clear I see a number of people asking about you
1198
00:54:19,903 --> 00:54:20,671
Higher knowledge
1199
00:54:20,927 --> 00:54:22,719
Prerequisites that kind of thing
1200
00:54:23,231 --> 00:54:29,375
Would you suggest that they have a grounding in any particular area in order to make the most of it
1201
00:54:29,631 --> 00:54:30,143
Discourse
1202
00:54:32,447 --> 00:54:33,215
Yeah I think
1203
00:54:35,263 --> 00:54:37,823
I was just going to say that this does not require
1204
00:54:38,079 --> 00:54:39,615
Does not have any prerequisites
1205
00:54:40,127 --> 00:54:44,991
And so we are expecting the majority of people to be decision-makers meaning
1206
00:54:45,247 --> 00:54:50,367
You either wearing engineer a long time ago and haven't touched ichnology for the last 10 years plus
1207
00:54:50,879 --> 00:54:53,183
Or you wearing NBA and
1208
00:54:53,439 --> 00:54:54,463
Never had the technology
1209
00:54:54,719 --> 00:54:55,487
And so are
1210
00:54:55,999 --> 00:54:58,559
Goal is to give you access an interesting Lee enough
1211
00:54:58,815 --> 00:55:02,399
Whether you wear an engineer or an MBA it's much the same challenge
1212
00:55:02,655 --> 00:55:03,423
Can I see where
1213
00:55:03,679 --> 00:55:07,007
Star engineer writing for Intel operating systems
1214
00:55:07,263 --> 00:55:08,287
Tendonitis
1215
00:55:08,543 --> 00:55:09,311
Guess what
1216
00:55:09,567 --> 00:55:11,359
It is a completely different world
1217
00:55:11,871 --> 00:55:14,175
The stars are now different people to technology
1218
00:55:14,687 --> 00:55:15,711
Completely
1219
00:55:15,967 --> 00:55:16,735
I changed
1220
00:55:16,991 --> 00:55:18,015
And so
1221
00:55:18,271 --> 00:55:20,831
Again you do not need to have
1222
00:55:22,879 --> 00:55:23,903
For this course meaning
1223
00:55:24,159 --> 00:55:25,183
You do not need to
1224
00:55:25,439 --> 00:55:26,207
Know how to
1225
00:55:26,463 --> 00:55:27,487
Write code
1226
00:55:27,743 --> 00:55:29,535
It helps if you do
1227
00:55:30,047 --> 00:55:31,839
But it's
1228
00:55:32,095 --> 00:55:32,607
It's
1229
00:55:32,863 --> 00:55:34,399
The start of things that the basics
1230
00:55:36,703 --> 00:55:41,567
We will we will be asking the students to write lots of time but will be giving them coyotes
1231
00:55:42,079 --> 00:55:43,359
That we want to run
1232
00:55:43,871 --> 00:55:46,943
I'm so that's a framework that they can that alter
1233
00:55:47,455 --> 00:55:49,247
But we do want to
1234
00:55:49,759 --> 00:55:52,063
We we do want them to get involved in that
1235
00:55:52,319 --> 00:55:53,343
Because it makes
1236
00:55:53,599 --> 00:55:54,367
Such a difference
1237
00:55:55,135 --> 00:55:57,183
As I was showing that one slide you know this
1238
00:55:57,695 --> 00:56:01,279
800000 libraries that they can take advantage of
1239
00:56:02,047 --> 00:56:04,351
So if you ever want to write something
1240
00:56:04,863 --> 00:56:07,167
You know you want to put up a web server
1241
00:56:07,423 --> 00:56:08,191
It's literally
1242
00:56:08,447 --> 00:56:10,239
You can do it no one line of code now
1243
00:56:12,031 --> 00:56:15,103
Sorry I mean that one line is cooling lots of other code
1244
00:56:16,127 --> 00:56:17,151
It's very compact
1245
00:56:17,407 --> 00:56:18,431
I'm sorry
1246
00:56:18,943 --> 00:56:20,223
Today you're not right it's not
1247
00:56:20,479 --> 00:56:22,271
It's like the old story about
1248
00:56:22,527 --> 00:56:23,807
Knowing which
1249
00:56:24,063 --> 00:56:25,599
You know I'm down to hit with a hammer
1250
00:56:26,111 --> 00:56:27,391
But you got a hammer but
1251
00:56:27,647 --> 00:56:28,415
You have to
1252
00:56:28,671 --> 00:56:29,439
Know what the heck
1253
00:56:29,951 --> 00:56:30,975
I'm sorry
1254
00:56:31,231 --> 00:56:34,559
It's the same today there's a lot of information out there
1255
00:56:35,839 --> 00:56:36,607
YouTube
1256
00:56:37,375 --> 00:56:41,215
If you can find on YouTube
1257
00:56:42,495 --> 00:56:47,103
It's millions of videos that they will take you
1258
00:56:47,871 --> 00:56:49,151
Alone time
1259
00:56:49,407 --> 00:56:50,943
How to find your way through the
1260
00:56:51,455 --> 00:56:51,967
So
1261
00:56:52,479 --> 00:56:56,063
Again where it where we want to be like guides showing you
1262
00:56:56,319 --> 00:57:00,159
Okay this is the path that these are the main points that you need one.
1263
00:57:00,415 --> 00:57:02,719
Now you can go off and explore around
1264
00:57:02,975 --> 00:57:05,279
You know you can spray off that path yourself
1265
00:57:06,303 --> 00:57:08,607
Will will take you by the hand through
1266
00:57:08,863 --> 00:57:09,887
The jungle
1267
00:57:11,679 --> 00:57:13,983
That's a great point in the
1268
00:57:14,751 --> 00:57:17,055
There's not too much content
1269
00:57:17,567 --> 00:57:22,175
And when you make a search say for blockchain you might get a million hits back
1270
00:57:22,943 --> 00:57:23,967
Worthy start reading
1271
00:57:24,223 --> 00:57:25,759
Did I might take you two weeks
1272
00:57:26,015 --> 00:57:28,831
To figure out one component of it and what about the rest
1273
00:57:29,599 --> 00:57:32,159
And so like Jonathan Argo list
1274
00:57:32,415 --> 00:57:33,439
To give you a set of
1275
00:57:33,695 --> 00:57:34,463
Curated
1276
00:57:34,719 --> 00:57:35,743
Experiences in
1277
00:57:35,999 --> 00:57:38,303
Content that we've tried in the classroom and
1278
00:57:38,815 --> 00:57:42,143
In other types of context or that are part of Greece
1279
00:57:42,399 --> 00:57:43,167
Search that we have done
1280
00:57:43,679 --> 00:57:44,703
In
1281
00:57:44,959 --> 00:57:45,983
And make this accessible
1282
00:57:48,799 --> 00:57:53,407
Great well I'm watching the timing and went to sit at a time I just had a couple of
1283
00:57:53,663 --> 00:57:58,271
A closing that I wanted to say first of all thank you so much
1284
00:57:58,527 --> 00:58:03,647
A valentine for being here today for sharing this is fascinating perspectives
1285
00:58:03,903 --> 00:58:07,999
I think we've given people a good sense for what you know for what's in the course
1286
00:58:08,767 --> 00:58:10,815
If your question hasn't gotten answered
1287
00:58:11,327 --> 00:58:16,191
And I know that there are there have been a lot of questions coming in there still coming in
1288
00:58:17,215 --> 00:58:22,335
New hat we have program advisor standing by that can help answer your specific question
1289
00:58:22,591 --> 00:58:24,895
I know we couldn't get to everything today
1290
00:58:25,151 --> 00:58:30,783
But if you have a burning question they really trying to figure out is this a good course for me
1291
00:58:31,039 --> 00:58:33,599
That's what our program advisors are there for
1292
00:58:34,623 --> 00:58:40,767
Do reach out to them talk to them about your concerns or your situation and they can help you make
1293
00:58:41,023 --> 00:58:42,047
That decision so
1294
00:58:42,303 --> 00:58:47,423
If they have questions by the way they're they're turning to us and we're going
1295
00:58:47,679 --> 00:58:53,823
To The Faculty even if if we need to get those answered so we want to make sure that you can have the information you need
1296
00:58:54,335 --> 00:58:56,127
To make a good decision about the course
1297
00:58:56,895 --> 00:59:02,015
I will also say that I think we're going to post on the chat a link
1298
00:59:02,271 --> 00:59:04,575
To the to the registration page
1299
00:59:05,087 --> 00:59:10,719
So if I could ask somebody from the program support team at there we go they were just waiting for me to say that I think
1300
00:59:10,975 --> 00:59:13,791
I think you just sent it to the panelists so
1301
00:59:14,815 --> 00:59:18,399
Just make sure that we've got it to all the attendees as well
1302
00:59:18,655 --> 00:59:20,703
So if you are a few
1303
00:59:20,959 --> 00:59:25,823
If you're intrigued by what you've heard today and you want to go ahead and apply please you
1304
00:59:26,079 --> 00:59:31,967
Click on the the link there again I'm not sure there we go now I think everybody
1305
00:59:32,223 --> 00:59:38,367
There's the link for the application it's also on the MIT professional education website
1306
00:59:39,135 --> 00:59:39,647
As well
1307
00:59:40,159 --> 00:59:42,463
See you can find more information there
1308
00:59:42,719 --> 00:59:46,047
All right well with that I think I'm going to go ahead and close
1309
00:59:46,303 --> 00:59:51,423
Close the webinar so thanks again to our outstanding faculty for being here with us
1310
00:59:51,679 --> 00:59:52,191
Today
1311
00:59:52,447 --> 00:59:55,519
I'm in sharing their own fascinating perspectives
1312
00:59:56,031 --> 00:59:59,103
And thank you to everybody who's attending
1313
00:59:59,359 --> 01:00:04,223
Hope you'll consider this course and I'm come back for more at MIT
1314
01:00:04,479 --> 01:00:06,271
And I hope to see you there
1315
01:00:06,527 --> 01:00:09,087
Take care everybody and have a good rest of your day
1316
01:00:09,343 --> 01:00:09,855
Goodbye
1317
01:00:10,367 --> 01:00:10,879
Nikki Glaser
1318
01:00:11,135 --> 01:00:12,671
Thank you everyone take care
1319
01:00:13,951 --> 01:00:14,463
Bye bye
1320
01:00:14,719 --> 01:00:15,487
Bye bye
92647
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