description: graphical presentation of the maturity of specific technologies
58 results
by Liz Pelly · 7 Jan 2025 · 293pp · 104,461 words
the winter of 2023, the new DJ function immediately seemed like nothing more than an eager attempt at capitalizing on the then-ongoing generative AI hype cycle. But it was also something the company had been working on for many years, an elusive vision they’d long been after: one where the
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be rich people looking for new ways to get more rich, with little regard for the impact they might have on working musicians. * * * The AI hype cycle could be disorienting to keep up with. As it unfolded, the very term “AI” felt increasingly useless, especially in music, where so many different concepts
by Ruchir Sharma · 5 Jun 2016 · 566pp · 163,322 words
. Elie Wiesel, the writer and Holocaust survivor, said the opposite of love is not hate; it is indifference. This observation applies well to understanding the hype cycle. The question to ask of any country: How is it portrayed by the global media? The longer an economic boom lasts, the more credible a
by Byrne Hobart and Tobias Huber · 29 Oct 2024 · 292pp · 106,826 words
came before. This time really was different. Support for Apollo traced the oscillating trajectory of a financial bubble—i.e., the hype cycle. Many unorthodox ideas are victimized and buoyed by hype cycles. An initial breakthrough triggers hype to a peak of inflated expectations, which subsequently collide with reality. In the case of Apollo
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, the hype cycle was defined by fluctuating public and political support. Initially, public support was essentially undivided thanks to Cold War fears and compelling arguments by President Johnson
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popped or continues to inflate. 311 As past bubbles have demonstrated, exploding prices generate interest and attention. The same phenomenon has occurred during Bitcoin’s hype cycles. Bitcoin’s extraordinary returns, and the ensuing media coverage and virality on social media, elicits FOMO as investors infer value from the profits others have
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feedback loop; as users increase, the value goes up, which could attract more users to take advantage of the increasing value.” 312 Bitcoin bubbles and hype cycles Since the inception of exchange trading in 2010, Bitcoin’s history has been punctuated with speculative bubbles. While these cycles of exponentially accelerating price increases
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a transformative tool or as a speculative vehicle, generating technological diffusion. The course of Bitcoin’s adoption seems to follow the trajectory of the classic hype cycle as developed by Gartner, which involves five phases. 315 The first phase, known as the technological trigger, encompasses initial interest surrounding a technological breakthrough. This
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. With speculation running wild, the price of one bitcoin rose to $31.90 in June 2011. After that, Bitcoin hit the third phase of the hype cycle, the trough of disillusionment. Its price decreased rapidly before bottoming out in April 2013. This was followed by further price swings, driven less by interest
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). Source: Tobias Huber and Didier Sornette, “Boom, Bust, and Bitcoin: Bitcoin Bubbles as Innovation Accelerators,” Journal of Economic Issues 56, no. 1 (2022): 113–136. Hype cycles fueling Bitcoin’s technological adoption are embedded in the deflationary code of the protocol itself, since the monetary policy built into Nakamoto’s design causes
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. Speculative bubbles have played a crucial role in the diffusion of many technologies over the past 250 years. Bitcoin is unique in that bubbles and hype cycles are built into its protocol. The deflationary nature of the cryptocurrency’s supply, along with the halving of block rewards, has triggered the adoption of
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and Peter Cauwels, “Financial Bubbles: Mechanisms and Diagnostics,” Review of Behavioral Economics 2, no. 3 (2015): 279–305. 315 “Gartner Hype Cycle Research,” Gartner, https://www.gartner.co.uk/en/methodologies/gartner-hype-cycle. 316 Indicated, for example, by the US Securities and Exchange Commission’s approval of Bitcoin exchange-traded funds (ETFs) in
by John Elkington · 6 Apr 2020 · 384pp · 93,754 words
.” In our economies, these are periods of intense excitement shading into “irrational exuberance,” driven by new forms of innovation that ride up and down the hype cycle, with a rising backbeat of investment and growth. Typically booms are followed by various forms of bust, profound unravelings, triggering adaptation, and, if things go
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we consider how that might best be done, though, it is worth underscoring just how unusual the current moment is in technology’s evolution. RIDING HYPE CYCLES I have long been fascinated by technology, writing many books about it. I edited a newsletter, Biotechnology Bulletin, for fifteen years, enabling me to visit
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thing over that time, it is that new technologies trigger feeding frenzies that typically follow a standard arc like that visualized in the famous Gartner Hype Cycle. This, Gartner tells us, evolves through five main stages: 1.Innovation Trigger: At this point we see some form of breakthrough in a key technology
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someone who has followed the biotechnology industry fairly closely for decades, I have seen a fair few much-vaunted ideas make their way through the hype cycle minefield. Some were blasted to pieces, and others ended up crippled on the sidelines. But there is something about this new synthesis of biology, engineering
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–27, 205–208 digital trade, 179 Dimon, Jamie, 14 disclosure system, CDP, 133 discounted cash flow (DCF), 205–206 discounting future, 85 Disillusionment, in Gartner Hype Cycle, 174 disruptive market forces, 150 disruptive technologies, 175–182 distributed ledger technology, 177–178 The Divine Right of Capital (Kelly), 205 Dorsey, Jack, 168–169
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Future-Fit Foundation, 147, 148, 149, 160–161 Futurists, exponential leaders as, 237–238 G Gaffney, Owen, 188 Gaia, 230, 231 Gapper, John, 195 Gartner Hype Cycle, 173–175 Gatti, Laura, 255 GE, 216 gene drives, 181 Generation Investment Management, 217 genetic engineering, 154, 159, 180–181 Germany, 215 Ghosh, Amitav, 109
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as, 238 humor, 120–121 Hunter, Sarah, 240 Hurd, Nick, 212–213 Hutton, Will, 196 Hwang Sang-ki, 126 Hyatt, John Wesley, 94 hydropower, 201 Hype Cycle, Gartner, 173–175 I Ibbitson, John, 222–223 Ignatius, Adi, 155–156 illusion of control, 44 impact, 47, 61–64, 256 impact investing, 63, 64
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India, 82 Indonesia, 220–221 industrial revolutions, 175–176 industry federations and associations, 132 inflated expectations, in Gartner Hype Cycle, 174 influencing activities, 145–146 information, role in economy, 190, 192 Innovation Trigger stage, Gartner Hype Cycle, 174 innovations, in three horizons framework, 38–39 Innovators, exponential leaders as, 238 Institute for Energy Economics
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, 121–122, 191, 230. See also change process stages; Future-Fit change approach Paradise, California, 137 Patriotic Millionaires, 132 Peak of Inflated Expectations stage, Gartner Hype Cycle, 174 Pearl, Morris, 132 penicillin, 103–104 People, Planet & Profit (3Ps), 30, 54 Perez, Carlota, 203, 235 PG&E power utility, 137 pharmaceutical industry, 231
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, 233 Plastic: A Toxic Love Story (Freinkel), 92–93 A Plastic Ocean (film), 92 plastics, as wicked problem, 92–97 Plateau of Productivity stage, Gartner Hype Cycle, 175 Pliny the Elder, 39 politics. See also democracy activism in, 227–228 breakers in, 221 different thinking, need for, 23–27 in future, 224
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Shell, 119, 214 Siemens, 216 Silent Spring (Carson), 193 Singularity University (SU), 35–36, 83, 186–187, 188, 237–238 Slope of Enlightenment stage, Gartner Hype Cycle, 175 smart cities, 177 Smit, Tim, 215, 216, 218, 237 Smith, Adam, 18, 25, 80, 85 social media, Black Swan thinking in, 53 Social Stock
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–236 T Taleb, Nassim Nicholas, 2, 21, 22, 254 tangible assets, 72 tankers, oil, 243 Technologists, exponential leaders as, 238 technology disruptive, 175–182 Gartner Hype Cycle, 173–175 global grand challenges, 186–187 and “gradually, then suddenly” transitions, 79 Green versus Black Swans, 182–186, 188 Midgley syndrome, 171–173 need
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, 155, 157, 158–159 placebo buttons, 43–46 recall of concept, 12–16, 29–33, 213 usefulness of, 153, 248 Trough of Disillusionment stage, Gartner Hype Cycle, 174 true value, 58 Trump, Donald, 84, 126–127, 131, 196, 204 Twitter, 168–169 U U-bend, 3–4, 4f, 37, 210 Uber, 215
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Ugly Ducklings. See also Black Swans; Gray Swans; Green Swans defined, 3, 11 disruptive technologies, 175–182 Gartner Hype Cycle, 173–175 Green versus Black Swans, 182–186, 188 Midgley syndrome, 171–173 overview, 166–167 unintended consequences, 167–171 Umicore, 215 UN Environment Inquiry
by Robert Wachter · 7 Apr 2015 · 309pp · 114,984 words
the need to address work flow and culture does not get kludgy technology off the hook. In 1995, the consulting group Gartner coined the term Hype Cycle to describe the trajectory of many technologies. The cycle commences with the introduction of a new technology. Then the hype begins, with a “peak of
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through the stages so rapidly, with barely any trough. Could it be that technology designers have become so skilled that, in today’s world, the Hype Cycle is either avoided or markedly foreshortened? Perhaps, but not in healthcare. Part of the hype in health IT was that we’d save boatloads of
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naive of us to believe that the first versions of these technologies would be perfect; that in a field as complex as healthcare, the technology Hype Cycle could be abolished or the productivity paradox sidestepped. After all, before there was the iPad, there was the Newton; before there was ubiquitous wireless connectivity
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me what happened Interview of Wah by the author, August 4, 2014. 246 In 1995, the consulting group Gartner coined Gartner Hype Cycle, available at http://www.gartner.com/technology/research/methodologies/hype-cycle.jsp. 247 One widely cited 2005 RAND study R. Hillestad, J. Bigelow, A. Bower, et al., “Can Electronic Medical Record
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–263 hospital standardization, 36 See also standards hospitals, future changes, 258–260 How We Die (Nuland), 97 human-technology collaboration, 276–277 Hwang, Jason, 12 Hype Cycle, 246–247 IDX, 66 informatics, 7 information, vs. knowledge, 56–57 information artifacts, 7 Ingelfinger, Franz, 272–273 innovation, 235–242 complementary innovations, 245 obstacles
by Stuart Ritchie · 20 Jul 2020
in big-name journals get picked up by the media, public interest intensifies, and scientists in the field develop a kind of recklessness, feeding the hype cycle with careless and overblown statements. Then big claims fail to replicate in later experiments, the furore dies away and normal science resumes. Ultra-hyped fields
by Douglas B. Laney · 4 Sep 2017 · 374pp · 94,508 words
yields or interest rates for bonds or other debt instruments of differing contract or maturity lengths. 7 “Gartner Hype Cycle: Interpreting the Hype,” Gartner, accessed 09 February 2017, www.gartner.com/technology/research/methodologies/hype-cycle.jsp. 8 Douglas Laney, and Michael Patrick Moran, “Toolkit: Enterprise Information Management Maturity Self-Assessment,” Gartner, 13 June
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Ganschow, Karen 54 Gartner: enterprise information management (EIM) maturity model 108–11, 297–302; financial valuation models 251, 255–6; fundamental valuation models 251–5; Hype Cycle 281, 284n7; information asset valuation models 250; information value models 262; Magic Quadrants 68 Geis, Alex 33 General Data Protection Regulations (GDPR) 240n24 generally accepted
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Horrisberger, Jim 83 House of Cards (TV series) 59 Hubbard, Douglas 260 Human Capital (Becker) 128 human capital management 165–8, 184 Hutton, James 144n7 Hype Cycle 281, 284n7 IBM 87, 91, 115, 148 IMDB 34 Indigenous Land Corporation 63 indirect information monetization 68–9 industry average 283 Infinity Property and Casualty
by Peter H. Diamandis and Steven Kotler · 3 Feb 2015 · 368pp · 96,825 words
curve, it helps to understand a little more about the nature of exponential deception. That starts with understanding the powerful biases that inform the Gartner Hype Cycle (see below). After a novel technology is introduced and begins gaining momentum, we tend to envision it in its final form—seriously overinflating our expectations
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your knowledge of what computers can do today back to the early 1980s—what bold entrepreneurial business opportunities might this have unlocked for you? Hype Cycle Indicators Gartner Hype Cycle Indicators Source: www.gartner.com Recognizing when a technology is exiting the trough of disillusionment and beginning to rise up the slope of enlightenment
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, 62 Free (Anderson), 10–11 Freelancer.com, 149–51, 156, 158, 163, 165, 195, 207 Friedman, Thomas, 150–51 Galaxy Zoo, 220–21, 228 Gartner Hype Cycle, 25–26, 25, 26, 29 Gates, Bill, 23, 53 GEICO, 227 General Electric (GE), 43, 225 General Mills, 145 Gengo.com, 145 Genius, 161 genomics
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, 10, 24, 25–26, 29, 30, 41, 60 digital camera as, 4–5, 6–7, 9, 10, 14, 76 disruptiveness of, see disruption, exponential Gartner Hype Cycle and, 25–26, 25, 26, 29 growth curve of, x, 6, 7, 9, 12, 12 indicators of entrepreneurial readiness in, 24, 26–29, 26, 31
by Nicole Kobie · 3 Jul 2024 · 348pp · 119,358 words
to break out of this cycle and start to be truly useful, with a careful, close eye on the downsides. Let’s ditch the historical hype cycle and build AI into a useful tool for people. Over the last several decades, we’ve refused to admit AI is narrow, when it is
by Chris Burniske and Jack Tatar · 19 Oct 2017 · 416pp · 106,532 words
innovative investor, as private blockchains have not yielded an entirely new asset class that is investable to the public. WHERE IS BLOCKCHAIN TECHNOLOGY IN THE HYPE CYCLE? By now it will be clear to the innovative investor that the blockchain technology space is still working itself out and will continue to do
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the technology. The progression of a new technology, and the way it evolves as it gains mental mindshare, is at the core of Gartner’s Hype Cycle for Emerging Technologies (Gartner is a leading technology research and advisory firm),17 which displays five common stages of technology.18 • Innovation Trigger • Peak of
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Productivity that provides a base on which to build other technologies. While it’s hard to predict where blockchain technology currently falls on Gartner’s Hype Cycle (these things are always easier in retrospect), we would posit that Bitcoin is emerging from the Trough of Disillusionment. At the same time, blockchain technology
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. http://www.nyu.edu/econ/user/jovanovi/JovRousseauGPT.pdf. 17. http://www.gartner.com/newsroom/id/3412017. 18. http://www.gartner.com/technology/research/methodologies/hype-cycle.jsp. Chapter 4 1. Network value = (units of the asset outstanding) × ($ value per asset). This is often referred to as the market capitalization of an
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–252 Fund-raising, xv, 252, 256 Funds, 239, 245 Fungibility, 47 Future Shock (Toffler), xxi Futures, 142–143 GABI. See Global Advisors Limited Gartner’s Hype Cycle for Emerging Technologies, 28–29 Garzik, Jeff, 213 Gawker, 22 GBTC symbol, 232–234, 243, 246 ETF and, 234–235 NAV for, 234 GDAX. See
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