investment strategy, 90, 142
iOS devices, 59, 72, 123, 132
iPad, 70, 141
iPad Pro, 123–25
iPhone, 70, 72, 85, 121–22, 125, 177–79
Irish data center, 176, 184
Islamic State (ISIS), 177
Istanbul, 214
Jaisimha, M.L., 18, 36–37
Japan, 44, 223, 230
Japanese-American internment, 188
JAVA, 26
Jeopardy (TV show), 199
Jha, Rajesh, 82
jobs, 214, 231, 239–40. See also labor
Jobs, Steve, 69
Johnson, Kevin, 46
Johnson, Peggy, 3, 80, 82, 131–33
Joy, Bill, 26
judgment, 207
Jung, Saad Bin, 37
Juniper, 25, 46
Justice Department, 130, 177, 189
Kamler, Arnold, 232
Kaplan, Steven, 29
Kasich, John, 230
Kasparov, Garry, 198–199
Kay, Alan, 203
Kennedy, John F., 199
Kent International, 232
Kenya, 43, 97–100
Khan, Nusrat Fateh Ali, 10
Kidder, Tracy, 68
Kim Jong-un, 169
Kindle, 141
Kipman, Alex, 145–48
Klawe, Maria, 112, 113
knowledge-based economy, 226–27
Koenigsbauer, Kirk, 124
Korea, 225
labor, 231–33, 239–40. See also jobs
labor-saving mindset, 208–9
Lakshmi (Indian goddess), 18
language-to-language translator, 155–56
latency, 224
Latin America, 219
Latinos and Hispanics, 116
law enforcement, 173, 177–78, 184, 188, 190, 192–93
leaders and leadership, 2–6, 10–11, 39–40, 42, 56, 81–83, 85, 118–40, 235, 240
learning, 92, 101–3, 106, 153–54
lifelong, 226–27
Lee, Peter, 154–55
Lee Se-dol, 199
legal framework, 82, 191–92, 229
Lenovo, 127
Lever, John, 37
LGBTQ community, 117
liberty, 187–88
Lincoln, Abraham, 188
LinkedIn, 44, 137–38, 174, 182, 232–33
Linux, 60–62, 71, 125, 128
LISP, 24–25
listening, 100–101, 133–35
Liuson, Julia, 59
Lizard Squad, 170
local capabilities, 219, 228, 237–38
long-term breakthroughs, 142
Lotus Notes, 46
Lotus spreadsheet, 27
Lowe’s, 149
Lu, Qi, 3
Mac computers, 122
machine learning (ML), 13, 50, 54, 59–60, 76, 88, 149–50, 159, 200, 202
Machines of Loving Grace (Markoff), 201
Maclean, Norman, 56
Madison’s Music (Neuborne), 190
mail fraud, 186
Majorana fermions, 163
Malawi, 215–16
Manipal Institute of Technology, 21–22, 27, 31
Mankad, Ashok, 36
Manning, South Carolina, 232
manufacturing, 142, 222, 225
Markoff, John, 195–96, 201
Mars, 144, 146, 148
Marx, Karl, 16, 221
Massachusetts Institute of Technology (MIT), 165, 213, 231
Media Laboratory, 204
MasterCard, 20
Mawingu Networks, 97
McAfee, Andrew, 213
McCullough, David, 209–10
McDonald’s, 153
McKenzie, David, 217
McKinsey firm, 81
McNealy, Scott, 26
meetings, 100–101
Mentor Graphics, 25
metaverse, 143
meters for cloud services, 59
MetLife, 60
Mexico, 220
Microserfs (Coupland), 74
Microsoft
annual retreat, 82–85
applications on competing platforms, 121–22, 132
board of directors, 63, 65, 72, 74–75
early career at, 7, 27–30, 64–65
executive team, 80–81
founders and, 64
hitting refresh at, 1–2, 11–16, 63–67
mission of, 1, 29, 77–78, 82, 85, 87, 90, 98–99
new generation at, 46
rediscovering soul of, 63–95, 127–28, 235
roots of, 13–14
stock, 46, 66
troubled 1990s and, 1–2
Microsoft Cloud, 2, 14, 42, 71
Microsoft Dynamics, 47–48
Microsoft Kinect, 59, 145, 148–49
Microsoft Philanthropies, 240
Microsoft Research, 162, 208. See also AI Research Group
Middle East, 214, 217–19, 224
middle management, 118–20
MileIQ, 137
Milky Way, 148
millennials, 196
mindfulness, 4–6
mindset, 241
fixed, 92–94, 105, 110
growth, 92–94, 99–103, 105–8, 111, 118, 120, 133
Mindset (Dweck), 92
Minecraft, 69, 80, 106–8, 125
minorities, 114–17
mirror worlds, 183–84
Mirror Worlds (Gelernter), 143
mixed reality (MR), 11, 13, 110, 140–48, 164, 212, 239
Mobil, 29
mobile-first mission, 70, 76, 79, 83
mobile payments, 43, 216, 228
mobile phones, 71–72, 89, 106, 110, 216. See also smartphones; and specific products
mobility, 42, 43, 54, 58, 70, 73, 88, 108, 216, 225
Mojang, 106–8
Moore, Gordon, 161
Moore’s Law, 140, 161
motion-sensing, 145
Motorola, 72
Mount Rainer, 19
mouse, 142
movable type, 152
Mulally, Alan, 64
multiculturalism, 19
multinational corporations, role of, 12, 235–39
Mundie, Craig, 30, 163
Musk, Elon, 203
Muslims, 19
Myerson, Terry, 3, 82, 105, 109
Myhrvold, Nathan, 30
Nadella, Anu, 7–8, 14, 27, 30–33, 41, 86, 92–93, 114
Nadella, father, 16–18, 20–21, 36, 56
Nadella, mother, 16–18, 20, 22, 86, 114, 181
nano-machines, 228
Nanyuki, Kenya, 99
Napoleonic Wars, 188
Narayen, Shantanu, 20, 136
National Aeronautics and Space Administration (NASA), 144, 146
National Football League (NFL), 10–11
National ICT for Development Policy (Malawi), 216
national security, 174–75, 228
National Security Agency (NSA), 172, 174–75, 181
Native Americans, 156
natural language, 151
Nehru, Jawaharlal, 16
Nepal, 44
Netflix, 30, 126
Netherland (O’Neill), 18
.Net, 58
networking, 45, 49, 213
Neuborne, Burt, 190
New Yorker, 233
New York Times, 24, 80, 176, 195, 209
New Zealand, 78
Nichols, Jill Tracie, 66–67, 95
Nietzsche, Friedrich, 79, 147
Nilekani, Nandan, 222
Nokia, 64, 71–73, 106, 133
nondeterministic polynomial time (NP-complete), 25
North, Douglass, 184
North Dakota, 47
North Korea, 169–70
Novell, 26
Numoto, Takeshi, 59
Obama, Barack, 3, 81, 175–76, 211–12, 214
Obama, Michelle, 211
Oculus Rift, 125, 144
Office, 2, 47, 53–54, 59, 68, 73, 81, 85, 123–25, 137, 203
Office 365, 44–45
, 61, 62, 85, 123–25, 152, 233
OneDrive, 121
O’Neill, Joseph, 18
One Microsoft, 102, 108
OneNote, 103, 121
OneWeek growth hack, 103–5
online services, 46–47, 51
open-source, 62, 102
opportunity, 79, 238
Oracle, 3, 26, 81
Orlando nightclub massacre, 117
Osmania University, 36
Outlook, 104, 121
Ozzie, Ray, 46, 52–53
Parthasarathy, Sanjay, 115–16
Partnership on AI, 200
partnerships, 76, 78, 120–38
passion, 92, 94, 100, 103, 242
Pataudi, Tiger, 37
pattern recognition, 54, 150, 152, 201
pay equity, 113–14
PC Revolution, 1, 28, 45, 71, 89, 108, 139, 213
decline of, 66, 70, 79
perception, 150, 152, 154
pharmacies, 218, 223
Phillips, James, 58
PhotoShop, 136
photosynthesis, 160
Pichai, Sundar, 131
pivot tables, 143
Pixar, 13
platform shifts, 76, 142
point-of-sales devices, 128–29
Poland, 223
policymaking, 82, 182, 189–92, 214, 223–28, 235
poverty, 99, 237
Power BI, 121
Powerpoint, 121
Practo, 222
predictive power, 42, 88
Predix platform, 127
printing press, 152
PRISM, 172–73
Prism Skylabs, 153
privacy, 170, 172–80, 186–91, 193–94, 202, 205, 224, 230, 238
probabilistic decision making, 54
productivity, 76, 79, 88, 124, 126, 226–28
product launches, 98–100
public health, 237
public-private partnerships, 225–26
public sector, 222, 228, 237–38
Qatar, 225
Qi Lu, Dr., 51–52
Qualcomm, 3, 80, 131–32
quantum computing, 11, 110, 140–42, 159–67, 209, 212, 239
qubits, 160–61, 164, 166–67
logical, 167
topological, 162, 166
radiation monitoring, 44
railroads, 215
Ramakrishnan, Raghu, 58–59
Ranji Trophy, 38, 40
Rashid, Rick, 30
Reagan, Ronald, 181
Real Madrid, 71
Red Dog, 52–53, 58
Red Hat, 125
Reform Government Surveillance alliance, 174
refugees, 218
regulatory systems, 130, 186–90, 215, 227–28
relational algebra, 26
respect, 135, 202
retailers, 128–29, 153
rice production, 44
Rilke, Rainer Maria, 12
Rise and Fall of American Growth (Gordon), 234
risk-taking, 111, 220
River Runs Through It, A (Maclean), 56
Roberts, John, 185–86
robotics, 13, 145, 149–50, 202–4, 208–9, 228, 231–32, 239
Rochester Institute of Technology, 146
Rocky movies, 44–45
Rogan, Seth, 169
Rolling Stones, 98
Rolls-Royce, 127
Romer, Paul, 229
root-cause analysis, 61
RSA-2048 encryption, 162
Rubinstein, Ira, 32–33
run times, 203
rural areas, connecting, 99
Russia, 172
Russinovich, Mark, 58
Rwanda Vision 2020, 216
safety, 153, 172, 176–80, 182, 185, 188, 194, 228
sales conference, 86–95, 100, 118
Salesforce, 121
Samsung, 132–34
San Bernardino attacks, 177, 179, 189
Sanders, Bernie, 230
Sanskrit, 16, 181
Saudi Arabia, 225
scale, 50, 161
Schiller, Phil, 124
Schmidt, Eric, 26
Scott, Kevin, 82
search and seizure, 185–86
Search Checkpoint #1, 51
search engines, 46–52. See also specific products
Seattle Children’s Hospital, 8, 41–42
Seattle Seahawks, 4
security, 169–80, 191–94, 202, 205, 224, 227–28, 238
senior leadership team (SLT), 2–6, 10–11, 81–82
sensors, 13, 79, 147–48, 150
September 11, 2001 attacks, 172
Serling, Rod, 159
server and tools business (STB), 53–59
servers, 2, 45, 139
edge of cloud and, 89
private vs. cloud-based, 57
privacy and security and, 173, 176
service sector, 240
Shaikh, Saqib, 200
Snapchat Spectacles, 145
Shaw, Frank, 98, 99
Shenzhen, 229
Shin, Jong-Kyon (J.K.), 133
Shum, Harry, 3, 51–52, 82
Sikhs, 19
silicon photonics, 228
Silicon Valley, 12, 21, 24, 26–27
silos, 57, 102
Sinclair ZX Spectrum kit, 21
Siri, 201
Sirosh, Joseph, 59
skills development, 226–27, 240
Skype, 64, 121, 155, 164, 171
Skype Translator, 59
small firms, 217
smartphones, 45, 66, 73, 132–34. See also mobile phones; and specific products
Smith, Brad, 3, 131, 170–71, 173, 189
SMS, 216
Snapchat, 193
Snapdeal, 33
Snow Crash (Stephenson), 143
Snowden, Edward, 172–73, 179–80
Social Connector, 137
social contract, 239
socioeconomic change, 12–13
software design, 27, 49
software engineering, 74
solar, wind, and tidal power, 43, 228
Sony, 28
Sony Pictures Entertainment, 169–70, 177, 179, 189
Soul of a New Machine, The (Kidder), 68
South Zone, 37, 115
sovereignty, 170
space exploration, 145–46
Spain, 215
spam filters, 158
speech recognition, 76, 89, 142, 150–51, 164
Spencer, Phil, 106–7
sports franchises, 15
spreadsheets, 143
SQL (structured query language), 26
SQL Server, 53, 55
Stallone, Sylvester, 44
Stanford University, 64
One Hundred Year Study, 208
Start-up of You, The (Hoffman), 233
Station Q, 162–63, 166
Stephenson, Neal, 143
string theory, 164
Studio D, 65–66
success leadership, 120
Sun Microsystems, 26–29, 54
Super Bowl, 4
supercomputers, 161
superconducting, 162–65
supply-chain operations, 103
Surface, 2, 129
Surface Hub, 89, 137
Surface Pro 3, 85
Surface Studio, 137
Svore, Krysta, 164–65
Sway, 121
Sweden, 44
Swisher, Kara, 138
Sydney Opera House, 98
symbiotic intelligence, 204
Synopsys, 25
Syria, 218
tablets, 45, 85, 134, 141. See also specific products
Tait, Richard, 7, 29
talent development, 117–18
TCI company, 28
teachers, 104, 106, 198, 226
teams and team building, 1, 39, 56, 107, 117–18
technology
boom of 1990s, 24
democratizing and personalizing, 69
diffusion of, 216–17, 219
disrup
tion and, 12
empathy and, 42–43
future of, 140–44
human performance augmented by, 142–43, 201
intensity of use, 217, 219, 221, 224–26
soul and, 68–69
transformation and, 11–12
TED talks, 180
telecommunications, 225
teleconferencing, shared-screen, 142
telegraph, 186
telepresence, 236
telerobotics, 236
tensor-processing unit (TPU), 161
Teper, Jeff, 29
terrorism, 172, 177–79
TextIt, 216
theoretical physicists, 162–64
think weeks, 64
32-bit operating systems, 29
Thiruvengadam, Arun, 187
Thompson, John, 14–15
3D printing, 228
three C s, 122–23, 141
Three Laws of Robotics, 202
ThyssenKrupp, 59–60
Tiger Server project, 30
time management model, 138
Tirupati, India, 19
topological quantum computing (TQC), 166
Toyota, 127
Tractica, 198
trade, 229–31, 236
training, 92, 227
transfer learning, 151, 153, 155
transformation, 11–12, 57, 67, 90
cloud and, 42, 55–56, 71
cultural (see culture, transforming)
Trans-Pacific Partnership (TPP), 230–31
transparency, 135, 174–75, 191–92, 202, 204–6
Trump, Donald, 212, 230
trust, 56, 88, 107, 135, 169–94, 205, 236
Turing, Alan, 26
Turner, Kevin, 3
TV white space, 99, 225
Twilight Zone, The (TV show), 159
Twitter, 174
2001 (film), 201
two-in-one computers, 129
two-sided markets, 50
Uber, 44, 126, 153
uncertainty, 38, 111, 157
United Kingdom, 215, 236
United Nations, 44
U.S. Congress, 177, 211
U.S. Constitution, 187
U.S. Court of Appeals for Second Circuit, 177
U.S. Postal Service, 186
U.S. Supreme Court, 177, 185
universal basic income, 239–40
University of California at Santa Barbara, 162
University of Chicago, 29
University of Pennsylvania, 184
University of Wisconsin, 22–26
UNIX, 26, 29, 128
Upside of Inequality, The (Conard), 220
utero asphyxiation, 8
Vairavan, Dr., 23
values, 76, 182, 205
Vancouver, 92–93
Vanity Fair, 73–74
venture capital, 199
vice presidents, 118–19
videogames, 103, 106–8, 127
video-on-demand (VOD), 30
video surveillance cameras, 153
Vietnam, 170
virtual reality, 144–45, 228
visual crowding, 104
visual recognition, 76, 89, 150–51, 200
Visual Studio, 58, 59
vocational training, 227
Volvo, 153
Von Neumann, John, 26
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