INDEX

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AAC Holdings Inc., 263-264

Aalaei, Faraj, 195

Abiomed, 236, 242

Accenture, 156, 157, 158, 161, 264–267

Adobe Systems, 19, 35, 186–187, 219

Advanced Driver Assistance Systems, 180

Advanced Regenerative Manufacturing Institute (ARMI), 88–89

The Age of Intelligent Machines (Kurzweil), 255

aging process, genetic research and, 47–49, 90, 227

agriculture:

gene editing in, 230, 234, 238–239, 241

sensor technology used in, 32–33

Airbnb, 186

Alexa, 206–207

Alibaba, 80, 114, 135

Alien Dreadnought robot technology, 137–138

Alphabet:

anti-aging technology and, 48

artificial intelligence and, 112, 115–118, 120–122

autonomous vehicle subsidiary of, 179

cloud computing and, 85

drone delivery and, 208

investing in, 121

medical research and, 249, 254

optical technology from, 30

Project Shield, 214

AlphaGo, 116–117

Amazon.com:

artificial intelligence applications from, 103

digital infrastructure of, 5–6, 201–203

drone delivery and, 208

founding of, 1, 4

growth of, 3, 5

IBM and, 85

investing in, 177

job training at, 202

as leading cloud business, 19, 23

robotics use by, 126, 201–202

success of, 21–22

Walmart as competitor of, 204

Whole Foods purchase by, 21

Amazon Echo, 206, 211

Amazon Picking Challenge, 201

Amazon Prime, 21–22

Amazon Web Services (AWS):

artificial intelligence and, 114

CIA use of, 20

digital infrastructure for, 6–7, 17

as leading cloud business, 19–20, 165, 177

as platform, 7–9, 13, 65

Ambarella, 107

AMEnDR, 239

Amgen, 251

Amobee, 14, 91–92

Anderson Consulting

Anderson Worldwide Societe Cooperative (AWSC), 264

Andreessen, Marc, 66–67

Android, 120

Apple, 35, 167, 187, 196, 200, 203, 261

application programming interfaces (APIs), 6–7, 17, 19, 200, 211–212

Aptiv, 192–193, 196

Aquantia, 194–196

Archer Daniels Midland, 232

Arthur Anderson, 264

artificial intelligence (AI):

benefits of, 121

cloud computing and, 114

in cognitive computing, 85, 86

commercial applications for, 122

in customer relationship management, 94, 95

deep learning in, 111–114

drawbacks of, 102–104, 117, 121

evolution of, 101, 127, 178

function of, 101–102

vs. human intelligence, 116–117

insurance industry and, 108–111

investing in, 105, 107, 113–115, 118, 121, 122

in medical applications, 145

neural networks in, 116

processing power for, 100

for robots, 125, 140

in self-service applications, 42

in surveillance technology, 106, 107

technological progress and, 181

AT&T, 208

Audi, 178, 184

auto insurance:

for car-sharing services, 183

smart claims adjustment for, 109

technology-driven changes in, 173, 174, 182, 191

automotive industry:

blockchain and, 162–163, 165–166

car-sharing in, 183–184

connected cars in, 199, 207

electric cars in, 205

impact of autonomous vehicles on, 172–176, 188–195

integrated circuits in, 40–41

investing in, 37, 39, 186, 187, 193, 195

lean manufacturing in, 70

robotics in, 136–138, 205

sensor technology in, 36–39

subscription service in, 185–186, 196

autonomous vehicles (AVs):

in agriculture, 32

artificial intelligence in, 113, 120, 177–178

benefits of, 193

blockchain and, 163

computer chips for, 195

development of, 17, 115, 171–172, 187–188, 196

as disruptor, 173–176, 182, 188–195

edge computing and, 167

in factories/warehouses, 146, 148

investing in, 37, 176, 188, 191, 192, 195, 196

LiDAR technology for, 179–180

in mining, 28

network speed and, 181, 189

robotics use in, 132–133

in surveillance programs, 106

Avis Budget Group, 184

Awadallah, Amr, 220-222

BackRub, 118, 122

Baidu, 80, 114, 127

banking industry:

Alexa app for, 206–207

bitcoin and, 152

blockchain and, 156, 158–162, 165, 170

robot use in, 126

Bank of America, 84–85, 160

Barnard, Matt, 33

Baum, Michael, 76

Becton Dickinson and Co., 227

Benioff, Marc, 94, 95

Bezos, Jeff, 1, 3–8, 17, 23, 32, 202

BHP Billiton Ltd., 28, 29, 43

big data:

benefits of, 65–66

in cognitive computing, 85

in education, 67

harvesting, 62–63

in healthcare, 67, 69–70

in hedge fund investing, 73–75

investing in, 82, 222, 223

in manufacturing, 71–73

processing of, 64–65, 76–77, 219–222

profitability of, 81

rise of, 61, 82, 86

in robotics, 37

storage of, 79–81

bioelectronics, 251–254

bioengineered food, 224, 225, 229–31

Biota Technologies, 53–54

biotechnology:

artificial intelligence in, 120

innovation in, 59, 60, 87

investing in, 45–46, 58–60, 227, 241

in pharming, 228–229

weaponized, 237

(See also specific technologies)

bioterrorism, 236–238

BioViva, 48

bitcoin, 149, 150, 152–153

Blegen, Bernie, 40–42

blindness, 49, 59

blockchain:

in automotive industry, 162–163, 165–166

in banking industry, 156, 158–162, 165, 170

benefits of, 150, 151, 158

bitcoin and, 149

cyber security and, 168

digital identity through, 156–158

hackers and, 149–150, 151

investing in, 156, 158, 169, 170

origins of, 152–154

supply chain use of, 154–156, 219

Blueprint Medicines, 245

BlueRock Therapeutics, 88

BMW, 97, 110, 186, 199

Boeke, Jef, 225, 226

Booking Holdings, 66

Bosack, Leonard, 166

Boshuizen, Chris, 27

Boston Dynamics, 131

bots:

customer service applications for, 11

in insurance industry, 108, 109

medical use of, 18

nano, 258

in predictive analytics, 84–85

for surveillance, 80, 106

weaponized, 102, 104, 105

(See also robots)

Bousbib, Ari, 56

Brin, Sergey, 118–119

Brown, Peter, 74, 75

Burden, Henry, 2–3, 8, 9, 17, 23

business models:

in automotive industry, 173

for car-sharing services, 184

in insurance industry, 108

Internet of Things and, 200, 207

personalization in, 92

predictive analytics and, 91, 93

subscription vs. one-time sales, 21, 78, 186–187

Cafarella, Mike, 64

Calavo Growers, 232

Calgene, 230

Calico, 48

Calyxt Inc., 238, 241, 242

cameras:

in contact lenses, 30–31, 43

digital, 25, 34–35

in imaging technology, 37–38

in robots, 36, 124

for surveillance, 79, 106, 107

cancer:

cellular therapy and, 88, 246–251

data analytics for research on, 200

genetic research and, 47–49, 57, 238

nanotechnology to treat, 256–258

precision medicine for, 244–245

robotic prosthetics and, 129–131

robotic surgery for, 127–129

Cantel Medical Corp., 227

Cantor, Charles, 235

Cape Analytics, 110

Capital One Financial, 206

carbon dioxide (CO₂), 232–234

Carnegie, Andrew, 2, 34, 43

Carnegie Mellon University Robotics Institute, 172, 192

Carr, Nicholas G., 7–8

car-sharing service, 183–184

CAR-T therapy, 88, 246–248

Caterpillar Inc., 29, 43, 80

Celera Genomics, 45–46, 47, 59

Celgene Corp., 250

Cellectis, 249

Central Intelligence Agency (CIA), 20, 21

Chambers, John, 168

Charpentier, Emmanuelle, 230

chatbots, 84–85

Chatterjee, Saswati, 239

Chesky, Brian, 186

Chi, Albert, 130

China:

gene editing in, 230

manufacturing in, 72, 146

surveillance data collected in, 79–82, 107

China International Containers, 219

Church, George, 89–91, 225–227, 234–235, 241

Cisco Systems, 51, 164, 166–170, 194, 215

Citigroup, 160

cloud computing:

artificial intelligence and, 114, 122

big data and, 82

in China, 80–81

connectivity in, 10, 220–222

in healthcare, 208–210

in insurance claims adjustment, 111

investing in, 19, 21, 23, 221

in manufacturing, 205

Microsoft and, 164–165

Netflix and, 13, 16

in robotics, 37, 139

scalability of, 12, 16–18

transformational role of, 1, 4, 7–8, 23, 181

Cloudera, 220–222

Cognex Corp., 35–37, 43

cognitive computing, 37, 85

Cohen, Jonathan, 14, 91–92

Cold Harbor Laboratory, 230–231

competitive advantage:

of blockchain, 170

connectivity as, 217, 220

data mining as, 63, 82

integrated software as, 98

intellectual property as, 34, 35, 78

price as, 43, 58

connected home, 210–212

connectivity:

in cloud computing, 220–222

growth of, 198

in industrial applications, 216–217

standards for, 194

(See also Internet of Things; networked technology; smart technology)

Constellation Brands, 176, 196

contact lenses, 30–31, 43

CRISP-Cas9, 90, 225, 227–231, 234, 236, 238–239

cryptocurrency (see bitcoin)

customer relationship management (CRM), 94–95, 99

Cutting, Doug, 64

cyber security:

at Amazon.com, 6

in banking, 158–161

Internet of Things and, 212–215

software for, 77, 168–169

CyprusOne, 80

Daimler, 178, 188, 207, 208

Das, Rob, 76

data analytics:

as business priority, 72, 86

via cloud computing, 17, 219–222

connected devices and, 200, 221

in healthcare, 67, 244

in human genome research, 47

in mining, 28–29

Netflix use of, 13–16, 92

in pharmaceutical research, 55–57, 59

in retail, 62

in shale oil production, 54

technological progress and, 181

(See also predictive analytics)

data breaches, 77, 150

data centers:

vs. cloud computing, 8, 16

demand for, 50–51

data collection:

by Amazon.com, 5–6

for artificial intelligence applications, 104

by Chinese government, 79–82

from company servers, 76–77

by connected devices, 51, 75, 198

edge computing and, 167

by Facebook, 11–12

modular approach to, 38

new applications for, 24, 28, 200

productivity and, 135

by retailers, 61, 75

(See also big data)

data download speed, 181

data overload, 167

da Vinci Surgical System, 127–128, 144

deep learning, 111–113, 118, 122, 127, 178

DeepMind Technologies, 115–118

Deere, 43

Defense Advanced Research Projects Agency (DARPA), 31, 124, 133, 252–253

Delphi, 192

DeSouza, Francis, 58

Deutsche Post DHL Group, 178, 188

digital identity, 156–158

Digital Twins, 71–73

DNA:

creating synthetic, 89–91, 224–227, 234–236

for data storage, 51–53

editing of, 224, 239–241, 249

in medical nanobots, 258

oil industry applications for, 53–55, 59

in pharming, 227

Doctor on Demand, 259

Domino’s Pizza, 196

Doudna, Jennifer, 230, 241

drones:

in agriculture, 32

artificial intelligence and, 102–104, 107

for insurance claims, 109

in mapping, 181

motor technology for, 41

package delivery by, 207–208

Dupont, 231

Earth, space survey of, 26–28

Eastman Kodak, 25, 35, 42, 173

edge computing, 38, 167

Einstein CRM software, 94–95

electricity:

mass-market sale of, 2–3, 9, 17, 23

reducing consumption of, 221

electric vehicles (EVs), 29, 205, 207

Electronic Health Record (EHR) system, 69

electronics:

medical applications for, 251–254

in opioid addiction treatment, 261–263

ElectRx, 252

employment:

under capitalism, 201

robots and, 124–127, 135, 138, 148, 202, 203

“The End of Corporate Computing” (Carr), 7

Enslin, Chris, 203, 204

Enterprise Ethereum Alliance (EAA), 153–154, 164, 168

enterprise resource planning (ERP), 216

epidemics, 236–237

Equifax, 77

Erica chatbot, 84–85

ethics:

epidemics and, 236

in gene editing, 225, 227, 230

Express Scripts, 263

Facebook, 10–12, 19, 51, 126–127, 176

The Face of Big Data (documentary), 65

facial recognition software, 17, 79–80, 81

Fadell, Tony, 211

Fanuc, 205

Fast Affordable Science Technology Satellites (FASTSATs), 27

FedEx, 77, 203

Ferguson, Hill, 259–260

Fiat Chrysler, 186

Flir Systems, 37–39, 43

food production:

bioengineered, 224, 225, 229–231, 241, 242

increasing crop yields in, 238–239

robotics in, 145–147

sensor technology in, 32–33

threats to, 232–234

Ford Motor Co., 189, 190, 199

ForeScout, 77

Foundation Medicine, 246

fraud, blockchain and, 150, 155, 156, 169

Freund, John, 143

Fukuko Mutual, 125

Galvani Bioelectronics, 253–254

Gates, Bill, 117, 236–237

GDS Holdings, 78–81, 82

Geisinger Health Systems, 68–70

gene editing:

ethics in, 225, 227, 230

in food production, 234, 238–239

function of, 225, 229–231, 237, 241

investing in, 231–232, 235–238, 242

in pharming, 227–229

tools for, 239–242

(See also genetic research)

Genentech, 228

General Electric (GE), 71–73, 198–199

General Motors, 173, 184, 186, 189, 190, 192, 205, 207

genetically modified organisms (GMOs), 230, 239, 242

genetic research:

on blindness, 49–50

data storage and, 51–53

drug development and, 55–57, 243

on human longevity, 47–49

investing in, 224, 227, 231–232, 235–238, 240–242

oil production and, 53–55

in precision medicine, 57–60

(See also DNA; gene editing)

Georg Fischer Fittings, 140

Getaround, 183–184

Gett, 207

Giacomini, Thomas, 146, 147

Gilded Age, 9, 34, 136

Gilead Sciences, 250, 251

GlaxoSmithKline (GSK), 18, 251–254

Goldman Sachs, 160

Google:

artificial intelligence and, 102, 112, 115–116, 118, 119

autonomous vehicles and, 196

blockchain and, 161

in camera technology buyout, 35

connected home and, 210–212

graphic processing units (GPUs), 111–115, 178

Griffin, Liam, 181

GTC Biotherapeutics, 229

Guidant, 143

Guidewire Software, 111

hackers:

banks attacked by, 159–160

blockchain and, 149–150, 151, 169

Internet of Things and, 212–215

Hadoop, 64–65, 220

Hall, Martin, 86

Hammerbacker, Jeffrey, 250

hardware:

in artificial intelligence applications, 86, 117, 122

legacy, data available on, 75

sensors used in developing, 26

Harris, Parker, 95

Hassabis, Demis, 116, 118

Hastings, Reed, 1, 13, 15–17, 23, 91

Hawking, Stephen, 103, 117

healthcare:

cost of, 67, 260

digitalization in, 265–266

personalized, 244–246

predictive analytics use in, 99

regenerative medicine in, 87–89

smart technology and, 203–204, 209–210, 259–261

Healthcare.gov, 265

Healthy.io, 259, 260

hedge funds, 73–75

Heppelmann, James, 97

hive mind, 198

home automation, 120

Homology Medicines, 239–242

Honeywell, 202

Hsing, Michael, 39–40

Huang, Jen-Hsun (“Jensen”), 112, 114, 132–133

Huang, William Wei, 79

Huawei, 72, 80

Human Genome Project (HGP), 44–47, 57, 59, 60, 224–226, 229, 244, 245

Human Genome Project-write, 226

Human Longevity Inc. (HLI), 47–49

Humans Need Not Apply (Kaplan), 124

IAM Robotics, 133–134

IBM, 85–86, 125, 150, 154, 155, 200

ID2020 digital identity program, 157

Illumina Inc., 57–60, 236, 238, 242, 246

imaging technology, 37–39

Immelt, Jeffrey, 71

immunotherapy, 246–251

IMS, 56

information technology:

commodification of, 33

global power of, 9

mass-market sale of, 7–8, 17, 20

in New Gilded Age, 136

rapid evolution of, 103, 177, 179, 181, 229

Innovative Health Solutions, 263

Instagram, 12

insurance industry:

artificial intelligence in, 108–111

robotics in, 125

(See also auto insurance)

integrated circuits (ICs), 39–41, 194

Intel, 84, 86, 103, 195, 196

intellectual property (IP), 34, 35

Internet:

advertising on, 119–121, 122

blockchain and, 157–158

content streaming on, 13, 16

data collected from, 75

data processing and, 64

golden era of, 166

number of devices connected to, 51

search engine for, 118–119

Internet of Things (IoT):

Alexa and, 206–207

applications for, 199–200

China and, 81

convergence and, 197, 208

function of, 198

growth of, 145, 203–204

in healthcare, 209–210

household, 210–212

industrial, 72, 216–217

investing in, 198, 215, 218, 220, 222, 223

package delivery and, 207

platforms for, 168, 212, 218–221

predictive analytics for, 96–98

security of, 212–215

(See also connectivity; networked technology; smart technology)

Intuitive Surgical, 127, 143–145, 147

investment:

in addiction treatment, 263

in agricultural technology, 32, 33

in artificial intelligence, 105, 107, 113–115, 118, 121, 122

in automotive services, 186

in automotive technology, 37, 39, 187, 193

autonomous driving and, 176, 188, 191, 192, 195, 196

in big data, 82, 222, 223

in biotechnology, 45–46, 58–60, 227–241

in bitcoin, 153

in blockchain platforms, 156, 158, 169, 170

in cloud technology, 19, 21, 23, 221

in commodities, 34–35, 43

in customer relationship management software, 96

in digital payment firms, 185

in 5G networks, 182

in gene technology, 224, 227, 231–232, 235–238, 240–242

in healthcare digitalization, 266–267

in hedge funds, 74–75

in immunotherapy, 251

in insurance claim technology, 110, 111

in integrated circuits, 42

in Internet of Things, 198, 215, 218, 220, 222, 223

in mining technology, 30

in nanotechnology, 256, 259

in niche markets, 35, 147

in optical technology for robots, 36, 37

in pharmaceutical research, 45–46, 263

in predictive analytics, 98, 99

in regenerative medicine, 89

in robotics, 36, 37, 125–126, 132, 133, 138, 141, 147

in robotics for surgery, 142–143, 145

in semiconductors, 111

in surveillance technology, 107

IQVIA Holdings, 55–57, 60

J. Craig Venter Institute, 226

Jochem, Todd, 172

John Bean Technologies (JBT), 145–147

Johns Hopkins, 129, 130

Johnson, Brian, 189–190

Johnson & Johnson, 200, 251, 259

Johnson Controls, 199

Jonas, Adam, 173–175

J.P. Morgan (bank), 160

June, Carl, 247

Juno Therapeutics, 250

just-in-time manufacturing, 137–138

Kaiser Permanente, 68

Kamen, Dean, 87–89, 99

Kaplan, Jerry, 124

Kite Pharmaceuticals, 250

Kiva, 126, 201, 202

Kline, Terry, 221

Komatsu Mining Corp., 29

Krebs, Brian, 213–215

KrebsOnSecurity, 213–215

Krishna, Arvind, 154

Kroo, Elliot, 183

Kshatriya, Ajay, 54

Kurzweil, Ray, 254–256

language translation, 17, 102

Lemonade Insurance Co., 108–109

Lerner, Sandy, 166

Levinson, Arthur, 48

Liberty Mutual, 109

LiDAR, 179–180

Ling Ting Ming, 107

Lo, Andrew, 74

Lockheed Martin, 105

Loladze, Irakli, 232–233

longevity, human, 47–49, 59

Luminar, 179–180

Lundbaek, Leif-Nissen, 163

Lyft, 186, 193, 207

Ma, Jack, 135

machine learning, 84, 101, 109–111, 115, 119, 121, 122

Maersk, 154–155

Malhortra, Neil, 128

malware, 160, 214

manufacturing:

big data in, 71–73

Internet of Things and, 97, 205, 207, 223

predictive analytics in, 199

robot use in, 126, 134–141, 145, 148

maps, 3D, 179, 181

Marsh & McLennan, 154

Masayoshi Son, 32

Matheny, Johnny, 129–131

Matternet, 207–208

Mazor Robotics, 131, 141–142, 147

McLaren, Robert, 49–50

Mechantronics, 139

Medallion hedge fund, 73–74

medical records, digital, 69–70

medicine:

bioelectronics in, 251–254

epidemics and, 236–237

nanotechnology in, 256–259

pharming and, 227–229

precision, 57–60, 69, 118, 244–246

robotics in, 127–131, 132, 141–145, 251–254

T-cell therapy in, 88, 246–251

technology convergence with, 243–244, 265-266

telecommunication in, 181

(See also healthcare)

Medtronic, 141–142, 200

Mercer, Robert, 74

Messenger, 12

micro-electro-mechanical systems (MEMS), 104

Microsoft:

Azure, 114, 157, 164–166

blockchain and, 156–158, 161, 165, 166, 170

cloud computing and, 164–166

deep learning research by, 112

investing in, 53, 166

nanotechnology research by, 18

synthetic DNA research by, 50–52

mining technology, 28–30, 43

mobility businesses, 173–174, 184, 196

Modular Prosthetic Limb (MPL), 130–131

Moll, Frederic, 143–144

Monolithic Power Systems, 39–43

Monsanto, 230, 231, 239

Montgomery, Will, 161, 162

Moret, Blake, 217

Morgan, J.P. (banker), 34

Morgan Stanley, 173, 174, 176

Mornhinweg, Volker, 207

Motoman robots, 139–140

Mucic, Luka, 219

Muir, William, 228

Musk, Elon, 103, 117, 136–138

Nadella, Satya, 164

Nakamoto, Satoshi, 152, 153

nanotechnology, 18, 254–259

National Aeronautics and Space Administration (NASA), 26, 27

National Cancer Institute, 245

National Institutes of Health, 45, 245

Navistar, 221

NBASE-T alliance, 194

Nest, 210–211

Netflix:

business model of, 13–14, 16

edge computing and, 167

growth of, 1, 12–16

investing in, 176, 177

as leading cloud business, 19, 177

predictive analytics used by, 91–93, 99

Netscape, 66–67

networked technology:

in businesses, 96–98, 203

for cars, 166, 181

cyber security and, 150–151, 164

in data processing, 64–65, 167

growth of, 200

in manufacturing, 205, 216

platform for, 168–169

power modules for, 40, 41

for shopping, 205

for smart cities, 98

(See also connectivity; Internet of Things; smart technology)

networks, 5G, 98, 172, 180–182, 189

neural networks, 102, 112, 113, 116, 117, 178

Neuro-Stim System-2 (NSS-2) Bridge, 261–263

Ng, Andrew, 127

Northrup Grumman, 105

Novartis, 88, 236, 240, 242, 248

nuTonomy, 188, 192, 193

Nvidia:

AI supercomputer from, 187–188

autonomous vehicles and, 167, 177, 191, 195

connectivity at, 219

deep learning technology and, 111–115, 122

investing in, 178, 191, 196

robotics at, 132

Oettinger, Günther, 181

O’Malley, Bert W., Jr., 128

Opiant Pharmaceuticals Inc., 263

opioid addiction, 244, 261–264

Opower, 221

optical character recognition (OCR), 35, 36

Oracle, 96, 114

Ottomatika, 192

Page, Larry, 118–119, 184

PageRank, 119

Palo Alto Networks, 77

Parker, Sean, 248, 250

Parker Institute for Cancer Immunotherapy, 250

Parrish, Elizabeth, 48

pattern recognition:

artificial intelligence and, 101

in big data, 65–68, 71, 82, 85

in hedge fund investing, 73–75

in real-time data, 98

Pernikoff, Noah, 127–129

personalization:

of media content, 13–16, 91–93

in medicine, 118, 244–246

in shopping, 205

Pfizer, 259

pharmaceutical industry:

artificial intelligence in, 118

clinical trials in, 55–57, 59

genetics-based information technology in, 55–59, 240

immunotherapy and, 250

investing in, 45–46, 263

nanotechnology in, 256, 257

precision medicine and, 245–246

pharming, 224, 227–229

Philips, 209, 210

Planet Labs, 26–28

Plenty, 32–33

Pole, Andrew, 62, 63, 75, 82

Pomerleau, Dean, 172

Porsche, 162–163

precision medicine, 57–60, 69, 118, 244–246

predictive analytics:

in biotechnology, 89, 91

impact on business, 85–87

investing in, 99

in manufacturing, 199

personalization and, 91–93

product development using, 83–84, 96–97

in surgical robotics, 144

Predix, 71, 72, 199

Priceline.com, 66

printed circuit boards (PCBs), 31

product development, 83–84, 96-97

productivity:

connectivity and, 217, 223

data collection and, 135

employment and, 203

improving, 136

predictive analytics and, 199

robotics and, 136–138, 145

wage growth and, 126

Product Lifecycle Management (PLM), 96–97

Project Shield, 214

Proofpoint, 77

PTC Inc., 96–99

Qualcomm, 103, 180, 182, 189, 196, 208, 209

Randolph, Marc, 13, 91

Raytheon, 105

ReachNow, 186

regenerative medicine, 87–89

Regenesis: How Synthetic Biology Will Reinvent Nature and Ourselves (Church), 90

Renaissance Technologies, 73–75

Resolution Copper Mining, 28, 29

retailers:

data collection by, 61, 75

robot use by, 148

Rio Tinto PLC, 28, 30, 43

robots:

in automotive applications, 36, 205

component manufacture for, 35

in food processing, 145–147

functionality of, 131–133

implantable, 18

improvements in, 123, 124

industrial, 36, 134–141, 148

investing in, 36, 37, 125–126, 132, 133, 138, 141–143, 145, 147

job security and, 124–127, 148, 202, 203

in medical applications, 127–131, 141–145, 181, 251–254

in mining, 29, 30

motor technology for, 41

nano-scale, 258

in police work, 106–107

productivity and, 136–138, 145, 146

software for, 125, 132, 133, 148, 192

taxi service by, 188, 190, 193

in warehouses, 201

(See also bots)

Rockefeller, John D., 34, 43

Rockwell Automation, 205, 215–218

Rometty, Ginni, 85–86

Rothblatt, Martine, 48

Rubin, Andy, 120

Ruh, Bill, 71, 72

Russell, Austin, 180

SAB Biotherapeutics, 228

Salesforce.com, 19, 57, 85, 93–96, 99

Samsung, 30, 34, 35, 212

SAP SE, 218–220

Sarandos, Ted, 14, 92

Sasson, Steve, 25, 26

satellite technology, 26–28, 43

Schingler, Robbie, 27

Schmidt, Eric, 32

Schneier, Bruce, 212–213

Schreiber, Daniel, 108

Scorpio, Jessica, 183, 184

Sedol, Lee, 116

self-driving cars (see autonomous vehicles)

self-service technology, 42

semiconductors, 40–41, 111, 198

sensors:

in agriculture, 32–33

in automotive products, 36

in cameras, 34

for connected devices, 146, 199

in contact lenses, 30–31

cost-effective production of, 24, 28, 42–43, 204

data collected by, 51, 75, 198, 220

functions of, 25–26, 43

investing in, 43

in mining, 28–30

in precision medicine, 245

rapid development of, 25

in robotics, 36, 124, 130, 140, 148

in satellites, 27

in smartphones, 25, 26

in thermal imaging technology, 37

in virtualization technology, 71

Seton Healthcare, 86

shale production, 53–55

sharing economy, 186

Sharkey, Noel, 103

Shillman, Robert, 35

shipping industry, 154–156, 219

Shoham, Moshe, 141

Simons, James, 73, 74

Singapore:

blockchain and, 165

taxibots in, 188, 193

Skynet, 79

Skyworks Solutions, 181

Slaoui, Moncef, 254

Slaughterbots (film), 104, 105

Slock.it, 169

smart cities, 17, 75, 98, 165

smart contracts, 153–154

smartphones:

blockchain transactions and, 169

in car-sharing services, 184

data collected from, 75, 167

data storage on, 17

Facebook use on, 11–12

financial chatbot app for, 84–85

in healthcare, 69, 259–261

increased network speed and, 180

for insurance claims, 109

MEMS in, 104

profitability of, 120

proliferation of, 24, 182

safe driving app for, 110

sensors in, 25, 26

in shopping, 205

subscription service for, 196

SmartSignal, 72

smart technology:

blockchain use by, 151

in cars, 75

economic impact of, 203–204

in factories, 35, 146

for robots, 140

Society for Worldwide Interbank Financial Telecommunication (SWIFT), 159, 160, 162

software:

for artificial intelligence, 114

for autonomous vehicles, 192, 193

for big data analysis, 64, 66, 67, 219–222

for blockchain, 153–154

for connected home technology, 211–212

connectivity and, 40, 198, 218–219

for customer relationship management, 94

for cyber security, 77, 160–162

diverse applications for, 17

for drone swarms, 103

in insurance industry, 109, 111

Internet-based, 96

open-source, 64, 78, 152, 155, 165, 220, 222

predictive analytics, 84, 86, 91

for robots, 125, 132, 133, 148, 192

as transformative, 261

virtualization, 71, 75

Sony, 30, 31, 34

Spamhaus, 215

SpineAssist, 141

Splunk, 76–78, 82

Spotify, 18, 186

Stanford Research Institute (SRI), 143

stem cells, 48, 88

streaming:

of media content, 13–16, 177

of real-time data, 86

subscription services:

for cars, 185–187, 196

for hacking, 214

vs. one-time sales, 21, 78

supply chain:

in artificial intelligence technology, 105

in automobile industry, 194–195

blockchain use in, 154–156

connectivity and, 216–217, 223

in food production, 33

in healthcare, 70

inventory management in, 204

in surveillance technology, 106

for US Air Force, 97

surgery:

nanotechnology in, 256

robotics use in, 127–132, 141–145, 181

surveillance:

in China, 79–81

drone technology for, 103, 104

imaging technology for, 37

ubiquitous, 105–107, 121

Swan, Erik, 76

Swift Solution Suite (IAM Robotics), 133–134

Symantec, 77

Target Corp., 62–63, 204–205

Tas, Jeroen, 210

Taylor, Paul, 161, 162

T-cell therapy, 246–251

TEDMED Foundation, 65

Teleflex Inc., 227

telemedicine, 181

Tencent, 80, 114

terrorism:

biological, 236–238

smart-drones and, 103

surveillance technology and, 107

Tesla, 113, 136, 137, 178

thermal imaging technology, 37–39

ThingWorx Analytics, 97, 98

Thought Machine, 161–162

T-Mobile, 86

Tour, James, 257, 258

Toyota, 137, 166, 173, 183, 184, 207

transgenic animals, 227–229

23andMe, 259

Twist Bioscience, 52

Uber, 18, 173, 184, 186, 191, 207

Umpleby, Jim, 80

Under Armour, 200

Unified Data Architecture (UDA), 69–70

UnitedHealth Group (UNH), 59

United Parcel Service, 203

United Therapeutics, 48

US Air Force, 97, 103–104

US Coast Guard, 97

US Department of Defense (DOD):

cloud services used by, 20, 21

DARPA, 31, 124

electronic health records for, 265

regenerative medicine and, 89

robotic prosthetics use by, 130

surveillance drone technology used by, 104

US Department of Energy, 45

US Food and Drug Administration, 60, 245, 261

US Navy, 104

US State Department, 20

Vault OS, 161

vDOS, 214

Velodyne, 180

Venter, Craig, 45, 47, 59, 90, 235

Verily, 18, 249–254, 260

vertical farming, 32–33, 43

Video Surveillance-as-a-Service (VSaaS), 106, 107

virtualization:

computer hardware and, 166–167

for corporate datasets, 76

industrial applications for, 71, 72

medical applications for, 127–128, 144

robot functionality and, 132

visible light communication (VLC), 205

Vodafone, 98

Volkswagen, 173, 207

Volvo, 185–187

Walker, Jay, 65–66

Walmart, 155, 203, 204

Wan, J. C., 53

Watson Explorer software (IBM), 125

Watson Health Cloud (IBM), 200

Waymo, 179, 187

Wells Fargo, 160

Westinghouse, George, 3, 9, 17

WhatsApp, 12, 126–127

Whitehead, Emily, 246–248

Whole Foods, 21, 22

Wilby, Alvin, 103

wireless technology:

for autonomous vehicles, 172

in drone navigation, 208

increasing speed of, 180–183, 189

integrated circuits used in, 40, 41

in smart cities, 98

Wise.io, 72

Wladawsky-Berger, Irving, 157

XAIN, 162–163

Yahoo!, 77, 119

Yaskawa Electric Corp., 135, 139–141, 147

Yasukawa, Keiichiro, 139

Younge, Robert, 143

Zaid, Sam, 183, 184

Zehavi, Eli, 141

Zendrive, 110

Zipcar, 184

Ziska, Lewis, 233, 241

Zuckerberg, Mark, 1, 10–11, 12, 23