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These are the user uploaded subtitles that are being translated: 1 00:00:02,560 --> 00:00:03,328 Wonderful 2 00:00:03,584 --> 00:00:04,864 Hello everybody 3 00:00:05,120 --> 00:00:10,496 Good morning good afternoon and good evening wherever you may be today where 4 00:00:10,752 --> 00:00:13,824 Very thrilled to welcome you today too 5 00:00:14,080 --> 00:00:18,176 Talk to you about our new digital transformation course 6 00:00:18,688 --> 00:00:22,784 I'm at MIT professional education digital plus programs 7 00:00:23,296 --> 00:00:27,904 Welcome to this introductory webinar our goal today is to 8 00:00:28,160 --> 00:00:33,792 Introduce you to our faculty and and share more information about the course 9 00:00:34,304 --> 00:00:36,864 So I will be doing that in just a minute 10 00:00:37,632 --> 00:00:39,168 But actually get started 11 00:00:39,424 --> 00:00:45,568 I wanted to just give you a little bit of orientation to our our webinar here and how you can 12 00:00:45,824 --> 00:00:46,592 Interact with us 13 00:00:47,104 --> 00:00:52,992 With that really two ways to interact the first way is to bring up the chat 14 00:00:53,504 --> 00:00:56,832 So if you look on your screen you'll see a chat button 15 00:00:57,088 --> 00:01:03,232 And we can all practice using that first by why don't you bring that up tell us what you 16 00:01:03,488 --> 00:01:04,768 You're sitting today we've got 17 00:01:05,024 --> 00:01:06,816 I'm over a hundred people here 18 00:01:07,072 --> 00:01:13,216 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 19 00:01:13,472 --> 00:01:16,288 MIT in Cambridge Massachusetts so 20 00:01:16,544 --> 00:01:19,872 The dish are where you are because it's always interesting to 21 00:01:20,128 --> 00:01:20,896 To see where people 22 00:01:21,152 --> 00:01:22,176 I located 23 00:01:22,432 --> 00:01:28,576 And when you do Pat if you're interested in sharing with everybody which I recommend douche 24 00:01:28,832 --> 00:01:30,880 Share it with all panelists and attendees 25 00:01:31,392 --> 00:01:35,232 I'm so we can all see so I'm seeing already Cape Town South Africa 26 00:01:35,488 --> 00:01:36,768 Wingstop Brazil 27 00:01:37,024 --> 00:01:43,168 Ohio to lay at Kuala Lumpur India Singapore Peru Athens 28 00:01:43,680 --> 00:01:49,824 Mumbai Rome Italy dohai Portugal wonderful it's wonderful to see such a global 29 00:01:50,080 --> 00:01:51,104 Community here 30 00:01:51,360 --> 00:01:53,408 I think that's something that you'll see in this 31 00:01:53,664 --> 00:01:59,040 Generally is that you'll come together with a global Community around topics of mutual 32 00:01:59,296 --> 00:02:00,320 In chest so 33 00:02:00,576 --> 00:02:02,112 Thank you for sharing 34 00:02:02,624 --> 00:02:08,256 Now as we go through this this this program and introduced you to the course content 35 00:02:08,768 --> 00:02:13,376 You may have questions that you would like to pose to The Faculty so 36 00:02:13,632 --> 00:02:15,936 The way to do that is to use our 37 00:02:16,192 --> 00:02:16,960 Human a box 38 00:02:17,472 --> 00:02:20,288 So please don't post questions in the chat 39 00:02:20,544 --> 00:02:22,336 Please post them in the queue in a box 40 00:02:23,104 --> 00:02:28,224 We have a team of program advisors here with us on the on the webinar 41 00:02:28,480 --> 00:02:33,600 That they'll be answering some of those questions as we go by text 42 00:02:34,112 --> 00:02:40,000 And then once we get through our content we're going to try to limit our content is 30 or 40 minutes 43 00:02:40,256 --> 00:02:41,792 Will Reserve that last 44 00:02:42,048 --> 00:02:42,560 Peace 45 00:02:42,816 --> 00:02:46,912 To go through this questions and answer just as many of them as we can 46 00:02:47,680 --> 00:02:48,192 So 47 00:02:48,448 --> 00:02:50,752 So that's how this webinar will work 48 00:02:51,008 --> 00:02:53,056 And without further ado 49 00:02:53,312 --> 00:02:55,360 I'd like to 50 00:02:55,616 --> 00:03:01,760 Introduce you to the course first of all just very briefly as you know this is a digital transformation 51 00:03:02,528 --> 00:03:07,904 Hovering what are the key technologies that are really impacting 52 00:03:08,160 --> 00:03:14,304 Our Global Society right now blockchain artificial intelligence Internet of Things 53 00:03:16,096 --> 00:03:16,864 The cloud 54 00:03:17,120 --> 00:03:22,496 And cybersecurity and we're going to hear more about all of this in a minute but those are the main 55 00:03:22,752 --> 00:03:25,568 The main topics that this course covers 56 00:03:26,336 --> 00:03:32,480 The Faculty are we've got dr. Abel Sanchez and dr. John Williams and they 57 00:03:32,736 --> 00:03:33,248 They are both 58 00:03:33,504 --> 00:03:35,552 Join me here today 59 00:03:35,808 --> 00:03:39,392 I'm thrilled to be sharing the platform with them 60 00:03:39,904 --> 00:03:41,952 And you'll hear from them in just a minute 61 00:03:42,208 --> 00:03:46,304 Just to give you a little bit more detail on them 62 00:03:46,560 --> 00:03:51,680 John Williams is a professor of information engineering at here at MIT 63 00:03:51,936 --> 00:03:57,568 And I'm he is as you can see I'm author dagger 150 Publications 64 00:03:57,824 --> 00:03:59,872 An internationally recognized 65 00:04:00,384 --> 00:04:03,456 Scholar in the area of computational algorithms 66 00:04:03,968 --> 00:04:08,320 I'm For Life scale particle simulators which is very cool and 67 00:04:08,576 --> 00:04:11,392 Also been named one of the 50 most powerful people in 68 00:04:11,648 --> 00:04:12,160 Computer network 69 00:04:12,672 --> 00:04:13,696 In 2005 70 00:04:13,952 --> 00:04:17,024 With a very illustrious company there so 71 00:04:17,280 --> 00:04:21,375 We're thrilled to have you with us today dr. Williams 72 00:04:22,911 --> 00:04:27,007 Sanchez as well here the executive director at MIT 73 00:04:27,263 --> 00:04:28,031 Geospatial 74 00:04:28,287 --> 00:04:29,055 Datacenter 75 00:04:29,311 --> 00:04:35,455 And who is you know Consulting for abroad orbea companies and teachers 76 00:04:35,967 --> 00:04:37,503 In cybersecurity engineering 77 00:04:38,015 --> 00:04:39,295 Patient and data science 78 00:04:39,807 --> 00:04:43,391 And I'm dr. Sanchez has a wonderful TED Talk 79 00:04:43,647 --> 00:04:46,719 On the future of Education with I 80 00:04:46,975 --> 00:04:49,023 Which is is fascinating 81 00:04:49,791 --> 00:04:52,863 Suggest that you look it up if you have a chance to do that 82 00:04:53,631 --> 00:04:54,399 Okay 83 00:04:54,655 --> 00:05:00,799 So without further Ado I'm going to turn it over sorry we're going to turn it over to dr. Williams and 84 00:05:01,055 --> 00:05:05,919 Who's going to talk a little bit more about what to expect in this course so I'll stop sharing my 85 00:05:06,943 --> 00:05:07,967 So we can chat 86 00:05:08,223 --> 00:05:08,735 And it over 87 00:05:08,991 --> 00:05:09,503 Tu 88 00:05:11,039 --> 00:05:12,063 Let me 89 00:05:12,575 --> 00:05:13,343 Share my screen 90 00:05:21,279 --> 00:05:22,303 Okay can you see me 91 00:05:25,375 --> 00:05:25,887 We sure can 92 00:05:27,423 --> 00:05:28,703 Okay so 93 00:05:28,959 --> 00:05:30,495 I think the main thing the 94 00:05:31,519 --> 00:05:34,847 I want to convey to you is but both able and I 95 00:05:35,103 --> 00:05:37,407 Spend most of my time in this area 96 00:05:37,663 --> 00:05:40,479 I'm a computational what's happening in the field 97 00:05:40,991 --> 00:05:43,039 Digital transformation 98 00:05:43,295 --> 00:05:44,319 Hitting 99 00:05:44,575 --> 00:05:45,599 Both 100 00:05:45,855 --> 00:05:48,159 Industry and Academia and government 101 00:05:49,951 --> 00:05:50,975 What we see 102 00:05:51,231 --> 00:05:53,791 Is that one of the main features is destructive 103 00:05:54,047 --> 00:05:56,095 Speak now 104 00:05:56,351 --> 00:05:56,863 Changing 105 00:05:57,631 --> 00:05:59,935 Constantly in the software area 106 00:06:00,447 --> 00:06:03,007 This book take Exit extremely fast 107 00:06:04,543 --> 00:06:05,311 Pottery Barn 108 00:06:05,567 --> 00:06:08,895 Goal is to understand how we can keep up with this 109 00:06:09,151 --> 00:06:09,663 Coptic 110 00:06:09,919 --> 00:06:11,199 How can how can we learn this 111 00:06:11,455 --> 00:06:12,223 Speed 112 00:06:12,991 --> 00:06:14,783 And some people in industry 113 00:06:15,295 --> 00:06:17,599 Decision-making now has to happen 114 00:06:18,111 --> 00:06:19,391 I'm much faster 115 00:06:19,647 --> 00:06:20,927 The clock ticks than we've ever 116 00:06:21,183 --> 00:06:21,951 Experienced before 117 00:06:22,975 --> 00:06:23,999 I'm so 118 00:06:24,255 --> 00:06:26,559 That's the main goal I think 119 00:06:26,815 --> 00:06:29,119 In this course is to give you 120 00:06:29,375 --> 00:06:30,143 The tools 121 00:06:31,167 --> 00:06:34,751 Another hand hold if you like so you can climb the mountain yourself 122 00:06:36,031 --> 00:06:36,543 But 123 00:06:36,799 --> 00:06:40,639 That you probably need to understand how to deploy these tools 124 00:06:40,895 --> 00:06:42,431 In your organization 125 00:06:43,711 --> 00:06:45,503 How to deploy the tools yourself 126 00:06:47,295 --> 00:06:51,135 You know one of the things that we do is we make a lot of videos 127 00:06:51,391 --> 00:06:52,415 Uninfect 128 00:06:52,671 --> 00:06:56,255 We have arrived Studios now but they blend I 129 00:06:56,767 --> 00:06:58,815 It always sitting in front of these Green Springs 130 00:06:59,327 --> 00:07:03,679 But these little things the tools that you have to use these days 131 00:07:03,935 --> 00:07:06,495 You're doing business remotely 132 00:07:06,751 --> 00:07:09,055 You have distributed teams across the world 133 00:07:09,567 --> 00:07:12,639 This is a very new way of doing business 134 00:07:13,407 --> 00:07:14,687 Discourse 135 00:07:14,943 --> 00:07:16,735 Will hopefully introduce you to 136 00:07:16,991 --> 00:07:19,551 United Technologies behind this digital 137 00:07:20,063 --> 00:07:20,575 Disruption 138 00:07:20,831 --> 00:07:21,343 Acting industry 139 00:07:22,623 --> 00:07:23,647 This kind of Club pic 140 00:07:23,903 --> 00:07:27,487 I'm here wishing autonomous systems now being deployed 141 00:07:28,767 --> 00:07:31,839 In the course we going to talk about AI 142 00:07:32,095 --> 00:07:34,655 How do you systems now rocketech 143 00:07:35,423 --> 00:07:36,447 But they have 144 00:07:36,959 --> 00:07:39,007 They're already having immediate effect on the world 145 00:07:39,519 --> 00:07:41,055 This is the stock market 146 00:07:42,335 --> 00:07:43,871 In 2010 147 00:07:44,383 --> 00:07:46,687 And in 20 minutes it's lost 148 00:07:46,943 --> 00:07:47,455 A trillion dollars 149 00:07:48,479 --> 00:07:49,503 I'm so 150 00:07:50,015 --> 00:07:52,063 Which of these systems 151 00:07:52,575 --> 00:07:54,623 For example in the finance area in 152 00:07:54,879 --> 00:07:55,391 Writing 153 00:07:56,927 --> 00:07:58,975 We really don't know how they're going to respond 154 00:08:00,511 --> 00:08:01,535 Until we 155 00:08:03,071 --> 00:08:03,839 Experience 156 00:08:04,607 --> 00:08:05,375 These 157 00:08:05,887 --> 00:08:06,655 Guitar shops 158 00:08:07,167 --> 00:08:11,007 We actually think that these systems are behaving perfectly well 159 00:08:11,519 --> 00:08:16,383 I'm so one of the challenges that we're facing today is to understand the properties of these systems 160 00:08:16,639 --> 00:08:17,151 Building 161 00:08:17,663 --> 00:08:20,479 Blockchain 162 00:08:20,735 --> 00:08:22,015 One of these system 163 00:08:25,343 --> 00:08:28,927 In 2008 I'm sure you will remember the market 164 00:08:29,183 --> 00:08:30,463 Shock that a cut 165 00:08:30,975 --> 00:08:32,767 You had two companies 166 00:08:33,279 --> 00:08:34,559 Such as Nokia 167 00:08:34,815 --> 00:08:36,095 BlackBerry 168 00:08:36,607 --> 00:08:37,375 Basically 169 00:08:38,143 --> 00:08:38,911 Going out of business 170 00:08:40,191 --> 00:08:43,775 Never before we had a company was 150 billion 171 00:08:44,031 --> 00:08:45,055 In 2008 172 00:08:45,311 --> 00:08:46,847 Bye 2013 173 00:08:47,103 --> 00:08:48,383 It's worth almost Nero 174 00:08:48,895 --> 00:08:49,919 So this plug pic 175 00:08:50,175 --> 00:08:51,455 Is extremely fast 176 00:08:51,967 --> 00:08:54,527 Understanding the technologies that are driving this 177 00:08:54,783 --> 00:08:55,295 What is critical 178 00:08:57,599 --> 00:08:58,623 Not easy to do that 179 00:08:58,879 --> 00:08:59,647 Install 180 00:09:03,231 --> 00:09:04,767 Excuse me that my phone just rang 181 00:09:05,023 --> 00:09:08,607 The devices that we have these days going to they're all around us 182 00:09:09,375 --> 00:09:10,911 Digital disruption 183 00:09:15,519 --> 00:09:18,079 You see these people with two or three finds you 184 00:09:20,639 --> 00:09:21,407 Messi playing today 185 00:09:22,943 --> 00:09:24,223 I talk to impress 186 00:09:24,479 --> 00:09:27,295 As impressed with the number of international people that we saw that 187 00:09:27,551 --> 00:09:29,599 Star 188 00:09:30,111 --> 00:09:33,695 I'm totally able to say hello to you probably during the school 189 00:09:34,207 --> 00:09:37,535 I know I'm going to be in Hong Kong in January start 190 00:09:38,047 --> 00:09:41,375 Hopefully there's somebody from Hong Kong at taking the course 191 00:09:43,423 --> 00:09:47,519 These disruptions have been driven by these Technologies 192 00:09:47,775 --> 00:09:48,799 In this case 193 00:09:50,079 --> 00:09:51,871 What they got wrong was that they store 194 00:09:52,383 --> 00:09:53,407 We need to keyboard 195 00:09:58,527 --> 00:09:59,039 But we didn't 196 00:09:59,551 --> 00:10:02,367 Basically the iPhone disrupted ever 197 00:10:04,159 --> 00:10:06,719 The only thing that's happened with the 198 00:10:07,487 --> 00:10:09,279 Internet of things if you like that 199 00:10:09,535 --> 00:10:11,327 These phones are producing data 200 00:10:11,839 --> 00:10:13,119 And so now 201 00:10:13,375 --> 00:10:19,519 This is just a diagram that you like illustrating the 7 billion people roughly 202 00:10:19,775 --> 00:10:20,287 210 203 00:10:20,543 --> 00:10:21,567 Countries across the world 204 00:10:21,823 --> 00:10:22,847 Open using data 205 00:10:23,359 --> 00:10:24,639 And what has changed 206 00:10:24,895 --> 00:10:25,407 Is 207 00:10:25,919 --> 00:10:27,711 We now have companies like 208 00:10:27,967 --> 00:10:30,527 Amazon and Google but no the customer 209 00:10:30,783 --> 00:10:32,063 Apps better than 210 00:10:33,343 --> 00:10:33,855 Eye bank 211 00:10:34,367 --> 00:10:35,647 This is why 212 00:10:36,671 --> 00:10:38,207 Where was talking to 213 00:10:38,463 --> 00:10:39,231 Various in 214 00:10:39,487 --> 00:10:41,535 Institutions and banking instantly one 215 00:10:42,047 --> 00:10:43,327 It's being difficult 216 00:10:43,583 --> 00:10:44,095 Disrupted 217 00:10:45,375 --> 00:10:47,679 Just a quick question on the 218 00:10:48,191 --> 00:10:49,471 What would you 219 00:10:49,727 --> 00:10:55,103 Say regarding the availability of data and competitive advantages and stirring domains 220 00:10:56,383 --> 00:10:57,663 You're exactly the 221 00:10:58,175 --> 00:10:59,711 Your access to data 222 00:11:00,223 --> 00:11:01,247 Probably determined 223 00:11:03,039 --> 00:11:04,063 How you can respond 224 00:11:05,343 --> 00:11:06,879 If you don't have the data 225 00:11:08,415 --> 00:11:09,951 You're at a significant disadvantage 226 00:11:12,511 --> 00:11:16,095 You know we've seen me what we call the fangs you know Facebook Apple 227 00:11:16,351 --> 00:11:16,863 Amazon 228 00:11:17,375 --> 00:11:17,887 That 229 00:11:18,911 --> 00:11:19,679 Have the day to 230 00:11:20,191 --> 00:11:21,471 The disrupting 231 00:11:21,983 --> 00:11:23,007 Companies 232 00:11:24,287 --> 00:11:26,591 You know that existed maybe a hundred years 233 00:11:27,359 --> 00:11:29,151 I'm suddenly that face 234 00:11:29,663 --> 00:11:30,687 With making decisions 235 00:11:31,199 --> 00:11:33,247 Bentley the banking sector 236 00:11:33,503 --> 00:11:34,527 Blockchain 237 00:11:34,783 --> 00:11:35,295 Decide 238 00:11:36,575 --> 00:11:38,111 What is this 239 00:11:38,623 --> 00:11:39,647 Do we need it 240 00:11:40,159 --> 00:11:41,439 How fast do we need it 241 00:11:41,951 --> 00:11:42,463 And I think 242 00:11:42,719 --> 00:11:44,767 You know what we're saying is that 243 00:11:45,279 --> 00:11:46,815 Blockchain is 244 00:11:47,071 --> 00:11:47,583 Tremendous 245 00:11:47,839 --> 00:11:48,607 Technology but 246 00:11:48,863 --> 00:11:50,143 We really don't have that much 247 00:11:50,399 --> 00:11:51,423 Experiments with it yet 248 00:11:51,935 --> 00:11:53,471 And we need one to stand 249 00:11:53,727 --> 00:11:54,495 What would a what does a 250 00:11:54,751 --> 00:11:55,775 Smart contract me 251 00:11:56,543 --> 00:11:57,823 Cetli 252 00:11:59,615 --> 00:12:03,711 My view if you like what happened is that we started with the web 253 00:12:04,223 --> 00:12:06,527 That on top of that we got laid internet 254 00:12:06,783 --> 00:12:09,855 Things have devices producing data like our cell phones 255 00:12:10,367 --> 00:12:12,159 And that gave rise to Big Data 256 00:12:12,415 --> 00:12:14,719 Which is giving riots the ability to do 257 00:12:14,975 --> 00:12:15,999 A machine learning 258 00:12:16,511 --> 00:12:20,607 And that's probably one of the big disruptors now is machine learning 259 00:12:22,143 --> 00:12:25,983 We're probably doing that in the cloud which is another of disruptive that 260 00:12:26,495 --> 00:12:27,519 Almost 261 00:12:28,031 --> 00:12:29,055 Industries 262 00:12:29,311 --> 00:12:31,615 Considering moving or have moved to the cloud 263 00:12:33,919 --> 00:12:36,991 That's a very different environment to the one we had 10 years ago 264 00:12:38,783 --> 00:12:42,367 That's part of what we're covering a nice I think you'll you'll covering a lot of that 265 00:12:43,647 --> 00:12:45,183 Continuous integration 266 00:12:45,439 --> 00:12:46,719 Continuous deployment area 267 00:12:47,999 --> 00:12:54,143 Yeah I just wanted to add one point they're done in that these decide data sets for example in the case of boy 268 00:12:54,399 --> 00:12:54,911 Voice 269 00:12:55,423 --> 00:12:56,703 If you think about that 270 00:12:56,959 --> 00:12:58,495 Amazon Echo 271 00:12:58,751 --> 00:12:59,263 Platform 272 00:12:59,775 --> 00:13:02,335 Are they have over 50000 hours 273 00:13:03,359 --> 00:13:04,895 Audio + transcripts 274 00:13:05,151 --> 00:13:07,455 Anybody else that wants to move into that space 275 00:13:07,711 --> 00:13:09,503 Has a tremendous challenge to overcome 276 00:13:10,015 --> 00:13:11,807 And if you think about Amazon 277 00:13:12,063 --> 00:13:12,831 And what they've done 278 00:13:13,087 --> 00:13:14,367 In the world of retail 279 00:13:14,623 --> 00:13:18,207 And I'm moving on to the physical World ride with purchase of Whole Foods 280 00:13:18,719 --> 00:13:23,583 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 00:13:59,423 --> 00:14:00,447 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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