by Bernard Marr
Bernard has written over 15 books and hundreds of high-profile reports and articles, including the international best-sellers Data Strategy, Big Data, Big Data in Practice, Big Data for Small Business, Key Business Analytics and The Intelligent Company.
Bernard has worked with or advised many of the world's best-known organizations, including IBM, Microsoft, Google, Walmart, Shell, Cisco, HSBC, Toyota, Vodafone, T-Mobile, the NHS, Walgreens Boots Alliance, the Home Office, the Ministry of Defence, NATO, the United Nations, among many others.
Connect with Bernard on LinkedIn, Twitter (@bernardmarr), Facebook, Instagram and YouTube to take part in an ongoing conversation and head to www.bernardmarr.com for more information and hundreds of free articles, white papers and ebooks.
If you would like to talk to Bernard about any advisory work, speaking engagements or influencer services, please contact him via email at [email protected]
Matt Ward is the research lead at Bernard Marr & Co. Most of his work focuses on research and case study interviews. Matt's work has been instrumental to this book as well as many of Bernard Marr's articles.
Acknowledgments
I feel extremely lucky to work in a field that is so innovative and fast moving and I feel privileged that I am able to work with companies and government organizations across all sectors and industries on new and better ways to use artificial intelligence (AI) to deliver real value – this work allows me to learn every day and a book like this wouldn't have been possible without it.
I would like to acknowledge the many people who have helped me get to where I am today. All the great individuals in the companies I have worked with who put their trust in me to help them and in return gave me so much new knowledge and experience. I must also thank everyone who has shared their thinking with me, either in person, blog posts, books or any other formats. Thank you for generously sharing all the material I absorb every day! I am also lucky enough to personally know many of the key thinkers and thought leaders in the field of AI and I hope you all know how much I value your inputs and our exchanges.
I would like to thank my research lead Matt Ward for his valuable contribution to this book, as well as my editorial and publishing team for all your help and support. Taking any book from idea to publication is a team effort and I really appreciate your input and help – thank you Annie Knight, Vicki Adang and Julie Kerr.
My biggest acknowledgment goes to my wife, Claire, and our three children, Sophia, James and Oliver, for giving me the inspiration and space to do what I love: learning and sharing ideas that will make our world a better place.
Index
AB Volvo 317
Academy for Discovery, Adventure, Momentum and Outlook (DAMO) 17–18
Accenture 147
Adgorithm 227 AEGIS (Autonomous Exploration for Gathering Advanced Science) 296
Albert platform 229
AEGIS 296
Ali Express 13
Alibaba 2, 13–18, 33, 64, 65, 77, 119, 139 Academy for Discovery, Adventure, Momentum and Outlook (DAMO) 17–18
City Brain 16
Dian Xiaomi chatbot 15
Machine Learning Platform for AI 15
Alibaba.com 13
Airbnb 235
Alexa (Amazon) 23, 30, 31–2, 34, 40, 56, 112
All England Lawn Tennis Club 56
Alphabet 21–7
Amazon 2, 3, 13, 15, 29–35, 43, 63, 64, 65, 77, 85, 101, 114, 139, 163, 173, 213, 228, 259, 296, 326 Alexa 23, 30, 31–2, 34, 40, 56, 112
Artificial Intelligence Flywheel 32–3
Echo 5, 29, 30, 31, 32, 94
Music Unlimited 33
Prime Air 33–4
Prime Video 32
Amazon Web Services (AWS) 33, 200
American Express 205–9 Mezi app 207
Android operating system 26
Apache Spark 138, 200
Apollo technology 46
Apollo Virtual Driver System 45
Apple 29, 37–41, 45, 114, 291, 326 Apple TV 37
Apple Watch 37
Core ML framework 38
Create ML 39, 40
Homecourt app 39
iPad 37
iPhone 37, 38–9
Macs 37
Polyword app 39
QuickType keyboard 38
Siri 23, 39–40, 95, 112, 114
argument mining 58
artificial personal assistants Amazon Alexa 23, 31–2, 34, 40, 56, 112
Apple Siri 23, 39–40, 95, 112, 114
Google Home 23
Samsung Bixby 112, 113, 114
Athlon 289
Autoliv 318, 319
autonomous delivery 61, 95, 96, 119
Autopilot system 313
Avon 57
Baidu 2, 43–6, 62, 64, 77, 107 Brain framework 46
EasyDL tool 44
Virtual Driver System 45
Bell Atlantic 191
Bell telephone conglomerate 191
Bell, Ganesh 272
BeyondCore 252
Bezos, Jeff 3, 29
Bhalla, Ajay 246
Bing 229
Blue River Technology 276, 277
BMW 263–8, 291 Bluemix cloud service 264
ConnectedDrive app 264
iVentures 265
Bonsai 72
Bossa Nova Robotics 137 Hawxeye 137
Brighterion 245, 247
Brin, Sergey 3, 21
British Telecom 179
Burberry 83–6, 218
Caliburger: Flippy 107
Car Detection App 289, 290
cars 6 intelligent 311–15
safety 317–20
self-driving 24, 44–5, 290
Cassandra 138
Chambers, Greg 87
Chanel 218
Chen Kuan 240–1
Children's Society: Cyberbullying's Impact on Young People's Mental Health 150
cloud services 5, 13, 15 Alibaba 15–16, 17 18
Amazon 29, 33
Apple 37, 38, 40
Caliburger Flippy 107
Google 176
IBM Bluemix 264, 267
Microsoft 69, 71, 72
Salesforce 250, 251, 253
Cloudera Enterprise platform 223
Coca-Cola 87–92 Salesforce platform 89
collaborative filtering 174–5
Colson, Eric 124, 125
ConnectedDrive app 264
containment rate 56
Corbyn, Jeremy 108
Corrado, Greg 25
Cortex 188
counterfeit industry 217–20
credit card false declines 245–8
fraud 205–9
cyberbullying 149–53
Daimler AG 263, 267, 287–91 Car Detection App 289, 290
Daimler-Benz AG 287
Daimler Trucks 288
Danaher, John 212, 213
Dean, Jeff 25
Deep Blue 59
deep machine learning 3–6
Deep Mind 21, 26
Dell 319
Dior 218
Disney see Walt Disney Company
Ditch The Label annual bullying survey 149
Domino's 7, 93–8 Dom technology 95
Pizza Checker 94, 96
Robotic Unit (DRU) 95
Donna Karan 57
Dragontail Systems 96
drones delivery system 19, 30, 33–4, 61, 63
passenger service 289
as weapons 326
eBay 13
edge computing 5, 283, 325
Edison, Thomas 269
Ehrnrooth, Henrick 282
Ele.me 119
elevator and escalator engineering 281–5
Elsevier 7, 211–15 ScienceDirect tool 213
Via Oncology platform 212, 213
EMC 319
energy industry 269–73
Entrupy 217–20
Estee Lauder 57
Exelon 271
Experian 221–5 Analytic Sandbox 223
Facebook 2,
29, 30, 43, 49–54, 88, 93, 155, 180, 197, 229, 239, 259 AI Research 53
Deep Face 51
DeepText 52, 150, 152
FBLearner Flow 50, 53
Messenger 193, 194
OpenCellular wireless connection platform 181, 182
see also Instagram
facial recognition technology Coca-Cola 89–90
Facebook 50–1
Google 96
JD.com 63–4
KFC 107
Microsoft 71
Tencent 76
Unilever 132
fake news 185–9
Farmsight 277
Forbes 138, 205
Ford Motor Company 44, 45, 95, 317
Galt, Emily 272
games, online 76, 130–1
GE 269–73 Digital Thread 272
Power 270
Predix platform 271
Geely Holding Group 317
General Motors 296
Geometric Intelligence 258
Gizmodo 186
Glassdoor 155
Google 2, 3, 15, 21–7, 29, 30, 31, 33, 43, 77, 228, 239, 240, 259, 291, 326 Digital News Initiative Fund 168
Google Ads 229
Google Assistant 24, 114
Google Brain 25
Google Cloud 176
Google Duplex 23
Google Home 23
Google Translate 24
image recognition algorithms 96
Image search 22
Pixel Bud headphones 24
Rankbrain 22
TensorFlow technology 90
Gucci 218
Hadoop-based distributed storage infrastructure 208
Handan Bin Mohammed, Crown Prince Sheikh 289
Harley-Davidson 227–31
Harris, David 86
HireVue 132
Hitch, Martin 138
Homecourt app 39
Hopper 233–7
HP 147
Huang, Sam 265
Huawei phones 45
Hyundai 44
IBM 43, 55–60, 156, 283, 326 BlueMix cloud platform 267
Cora chatbot 56
Project Debater 57–9
Watson cognitive computing platform 55, 264, 266–7
iCarbonX 77
IMDB 162
“in the cloud” 249
Infervision 7, 239–43
Instagram 88, 149–53
Intel 107, 265, 267
Internet of Things technology 5, 18, 101, 289, 305, 317
internet of trains 305–9
Internet Para Todo project 180
Intuition Robotics 113 “social companion” robot ElliQ 113
Jacobi, Asaf 227
JD.com 7, 61–6 Facial Recognition Technology 63–4
Jeavons, Daniel 300, 301, 302
John Deere 275–9
Kafka 138
Kasparov, Garry 59
KFC in Beijing 107
Kimberly-Clarke 99–103 K-Challenge 102
Kindle e-readers 29
Knight Foundation 186
KONE 281–5 24/7 Connected Services 283
Kress, Gerhard 308
Kumble, Anil 72
language translation 21 Azure Cognitive Services 70
Baidu 45–6
Google Translate 24, 26
learning by doing approach 5
Libenson, Barry 223
LinkedIn 155–60 Recruiter platform 157
Liu, Richard 61
Liu Qiangdong 61
Louis Vuitton 218–19
loyalty schemes 101
Lyft 235
Mastercard 245–8 Decision Intelligence system 246
MBUX (Mercedes Benz User Experience) 288
McDonald's 105–10
MD Anderson 214
medical field 25, 57, 58, 77, 78, 199–205, 239–43
Meij, Don 95
Mercedes-Benz 288
Mercedes-Me app 289
Metamind 252
Mezi app 207
Microsoft 43, 69–74, 114, 213, 326 Azure Cognitive Services 70–1, 72, 73
Azure computer vision algorithm 71, 72
Bot Framework 132
Face API 71
Gazebo robot simulator 71
Internet Explorer 69
.Net framework 69
Office 70
PowerPoint 70
Project Natick 71
Robotic Operating System 71
Sketch2Code 71
Word 70
Mindsphere 307
MobilEye 265, 267
Morris, Dan 198
mortgages 221–5
Musk, Elon 311, 313
My Disney Experience app 145
MyTaxi 289
Nadella, Satya 3, 69, 73
Nair, Leena 132, 133
NASA 293–7 Robonaut 2 295, 296
natural language processing 5 Alibaba 15–16, 18
Alphabet 22, 23, 24
Amazon 32, 33
Apple Siri 38, 39–40
Baidu 44, 46
Domino's 95, 97
Elsevier 212, 213
Facebook 53, 54, 193
Google 26
IBM 55, 267
Instagram 150, 151, 152
PA RADAR Project 169
Salesforce Einstein 252
Samsung 113, 114–15
Spotify 175
Starbucks 120
Tencent 78
Tesla 313
Unilever 131–2
Verizon 193–4
Nest 21
Netflix 30, 125, 161–6, 173, 296 Vectorflow 163
Neural Engine 38
Ng, Andrew 25
Nielsen Marketing Cloud platform 101
Nielsen ratings 101
Nvidia 290, 314, 318
O2 179
Obama, Barack 2
optical coherence tomography scans 25
Panopoly 101
Partnership on AI to Benefit People and Society 326
Pell, Willy 277
pesticides 275–9
Phylira 57
Pinterest 125
Prada 219
Press Association 167–71
Project Apollo 43, 44
proof of purchase 88–9
Putin 3
Pymetrics 130, 131
Pyro 259
radio-frequency identification tags 85
recruitment 129–34, 155–60
reinforcement learning 6
RelateIQ 252
Renault Formula One 72
Reporters and Data and Robots (RADAR) 168
RevTrax 101
robot tax 108–9
robots Amazon 31
JD.Com 62
Samsung 111–12, 113, 114
Tencent 76–7
Walmart 135–9
Rolls Royce concept model 103EX 266
Royal Bank of Scotland 56
Royal Dutch Shell 299–303
Salesforce 228, 249–53 Chatter 251
Customer Success Platform 250
Einstein platform 250, 251, 252
Samsung 45, 111–16 Bixby 112, 113, 114
Saram robot 113, 114
SmartThings app 114, 115
SAP Leonardo machine learning platform 290
Schwab, Klaus 3,
Self-Driving vehicles 24, 44–5, 290
self-service kiosks 105, 106, 107
Shani, Or 227
shelf-scanning robotics 135–9
Shell 299–303
Siegel, Eliot 242
Siemens AG 305–9 Railigent predictive artificial intelligence (AI) platform 305, 307
Siri (Apple) 23, 39–40, 95, 112, 114
smart cities 13, 16
smart farming 17
smart fridges 64
Smart Shops 65
SmartThings app 114, 115
Society of Auto Engineers (SAE) 45
software-as-a-service (SaaS) 249
spambot 186
Spektacom 72
Spotify 6, 173–7 Discover Weekly playl
ists 173, 174, 176, 177
Srinivasan, Vidyuth 217
Staples 56 Easy Button 56
Starbucks 117–21 Digital Flywheel Program 118–19
Starship Technologies 95, 96
Stitch Fix 123–7
suicide prevention 52
Symrise 57
Synapse 147
Tableau 101, 138
Tamr 272
Taobao 13
Target 29
Tegerdine, Matt 193
Telefonica 179–83 Internet Para Todos (Internet For All) project 180
microwave and radio access network solutions 181
Tencent 2, 62, 75–80 Miying 78
WeChat app 75, 76, 77
TensorFlow 90
Teradata 267, 318 Aster discovery platform 308
Tesla 6, 263, 311–15 Autopilot 312, 313–14
Tmall 13
tomography 25
Toyota 291
travel industry 233–7
Trump, Donald 2