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Big Data: A Revolution That Will Transform How We Live, Work, and Think

Mayer-Schonberger, Viktor;Cukier, Kenneth
What?s past is prologue,? wrote Shakespeare.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Viktor Mayer-Schonberger and Kenneth Cukier Loc. 2944-45 - Highlight on Page 195 | Added on Wednesday, May 01, 2013, 11:41 AM
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Jetpac, which makes travel recommendations based on the photos users upload to the site.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Viktor Mayer-Schonberger and Kenneth Cukier Loc. 1887-88 - Highlight on Page 125 | Added on Thursday, April 25, 2013, 08:01 AM
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DataMarket, founded in Iceland in 2008, provides access to free datasets from other sources, such as the United Nations, the World Bank, and Eurostat,
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Viktor Mayer-Schonberger and Kenneth Cukier Loc. 1839-40 - Highlight on Page 121 | Added on Thursday, April 25, 2013, 07:56 AM
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GreenGoose, a startup in San Francisco, sells tiny sensors that detect motion, which can be placed on objects to track how much they are used. Putting it on a pack of dental floss, a watering can, or a box of cat litter makes it possible to datafy dental hygiene and the care of plants and pets.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Viktor Mayer-Schonberger and Kenneth Cukier Loc. 1451-53 - Highlight on Page 96 | Added on Sunday, April 21, 2013, 11:17 PM
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When we talk about big data, we mean ?big? less in absolute than in relative terms: relative to the comprehensive set of data.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Viktor Mayer-Schonberger and Kenneth Cukier Loc. 451 - Highlight on Page 29 | Added on Sunday, April 21, 2013, 10:15 AM
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What classifies them as big data is that instead of using the shortcut of a random sample, both Flu Trends and Steve Jobs?s doctors used as much of the entire dataset as feasible.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Viktor Mayer-Schonberger and Kenneth Cukier Loc. 429-30 - Highlight on Page 28 | Added on Sunday, April 21, 2013, 10:12 AM
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Though data is rarely recorded on corporate balance sheets, this is probably just a question of time.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Viktor Mayer-Schonberger and Kenneth Cukier Loc. 250-51 - Highlight on Page 16 | Added on Sunday, April 21, 2013, 09:51 AM
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data is about what, not why. We don?t always need to know the cause of a phenomenon; rather, we can let data speak for itself.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Viktor Mayer-Schonberger and Kenneth Cukier Loc. 225-26 - Highlight on Page 14 | Added on Sunday, April 21, 2013, 09:47 AM
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The amount of stored information grows four times faster than the world economy, while the processing power of computers grows nine times faster.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Viktor Mayer-Schonberger and Kenneth Cukier Loc. 152-53 - Highlight on Page 9 | Added on Sunday, April 21, 2013, 09:13 AM
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Most strikingly, society will need to shed some of its obsession for causality in exchange for simple correlations: not knowing why but only what.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Viktor Mayer-Schonberger and Kenneth Cukier Loc. 108-9 - Highlight on Page 7 | Added on Sunday, April 21, 2013, 09:07 AM
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big data refers to things one can do at a large scale that cannot be done at a smaller one, to extract new insights or create new forms of value, in ways that change markets, organizations, the relationship between citizens and governments, and more.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Viktor Mayer-Schonberger and Kenneth Cukier Loc. 106-7 - Highlight on Page 6 | Added on Sunday, April 21, 2013, 09:06 AM
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In one study, reported in Science in 2011, an analysis of 509 million tweets over two years from 2.4 million people in 84 countries showed that people?s moods followed similar daily and weekly patterns across cultures around the world?something
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Viktor Mayer-Schonberger and Kenneth Cukier Loc. 1414-16 - Highlight on Page 93 | Added on Sunday, April 21, 2013, 06:03 PM
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These quick correlations let us save money on plane tickets, predict flu outbreaks, and know which manholes or overcrowded buildings to inspect in a resource-constrained world. They may enable health insurance firms to provide coverage without a physical exam and lower the cost of reminding the sick to take their medication. Languages are translated and cars drive themselves on the basis of predictions made through big-data correlations. Walmart can learn which flavor Pop-Tarts to stock at the front of the store before a hurricane. (Answer: strawberry.) Of course, causality is nice when you can get it. The problem is that it?s often hard to get, and when we think we?ve found it we?re often deluding ourselves.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2886-2891 - Seu destaque na página 191 | Adicionado na data segunda-feira, 22 de abril de 2013, 17:44:23
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Prior to the big-data analysis, inspectors followed up the complaints they deemed most dire, but only in 13 percent of cases did they find conditions severe enough to warrant a vacate order. Now they were issuing vacate orders on more than 70 percent of the buildings they inspected. By indicating which buildings most needed their attention, big data improved their efficiency fivefold. And their work became more satisfying: they were concentrating on the biggest problems.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2841-2844 - Seu destaque na página 188 | Adicionado na data segunda-feira, 22 de abril de 2013, 16:36:32
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problem that could be solved with lots of data. They started with a list of every property lot in the city?all 900,000 of them. Next they poured in datasets from 19 different agencies indicating, for example, if the building owner was delinquent in paying property taxes, if there had been foreclosure proceedings, and if anomalies in utilities usage or missed payments had led to any service cuts. They also fed in information about the type of building and when it was built, plus ambulance visits, crime rates, rodent complaints, and more. Then they compared all this information against five years of fire data ranked by severity and looked for correlations in order to generate a system that could predict which complaints should be investigated most urgently.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2815-2820 - Seu destaque na página 187 | Adicionado na data segunda-feira, 22 de abril de 2013, 16:31:13
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Flowers became the city?s first ?director of analytics.? His mission: to build a team of the best data scientists he could find and harness the city?s untapped troves of information to reap efficiencies covering everything and anything.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2802-2804 - Seu destaque na página 186 | Adicionado na data segunda-feira, 22 de abril de 2013, 16:25:21
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fundamental new strategies for big-data governance, regarding privacy, propensity, and algorithm auditing. We?re confident that with these in place the dark side of big data will be contained.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2760-2761 - Seu destaque na página 183 | Adicionado na data domingo, 21 de abril de 2013, 22:31:04
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Google, as we?ve shown in many examples, runs everything according to data. That strategy has obviously led to much of its success. But it also trips up the company from time to time. Its co-founders, Larry Page and Sergey Brin, long insisted on knowing all job candidates? SAT scores and their grade point averages when they graduated from college. In their thinking, the first number measured potential and the second measured achievement. Accomplished managers in their forties who were being recruited were hounded for the scores, to their outright bafflement. The company even continued to demand the numbers long after its internal studies showed no correlation between the scores and job performance.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2521-2525 - Seu destaque na página 167 | Adicionado na data domingo, 21 de abril de 2013, 18:14:11
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The quality of the underlying data can be poor. It can be biased. It can be mis-analyzed or used misleadingly. And even more damningly, data can fail to capture what it purports to quantify.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2506-2507 - Seu destaque na página 166 | Adicionado na data domingo, 21 de abril de 2013, 18:10:12
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Like the factory men at Ford who dumped engine parts into the river, junior officers sometimes gave their superiors impressive numbers to keep their commands or boost their careers?telling the higher-ups what they wanted to hear. McNamara and the men around him relied on the figures, fetishized them. With his perfectly combed-back hair and his flawlessly knotted tie, McNamara felt he could only comprehend what was happening on the ground by staring at a spreadsheet?at all those orderly rows and columns, calculations and charts, whose mastery seemed to bring him one standard deviation closer to God.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2500-2504 - Seu destaque na página 165 | Adicionado na data domingo, 21 de abril de 2013, 18:09:39
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Big data is useful to understand present and future risk, and to adjust our actions accordingly. Its predictions help patients and insurers, lenders and consumers. But big data does not tell us anything about causality. In contrast, assigning ?guilt??individual culpability?requires that people we judge have chosen a particular action. Their decision must have been causal for the action that followed. Precisely because big data is based on correlations, it is an utterly unsuitable tool to help us judge causality and thus assign individual culpability.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2461-2465 - Seu destaque na página 163 | Adicionado na data domingo, 21 de abril de 2013, 18:01:47
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Those include everything from a company?s decision to dismiss an employee, to a doctor denying a patient surgery, to a spouse filing for divorce.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2455-2456 - Seu destaque na página 162 | Adicionado na data domingo, 21 de abril de 2013, 18:00:15
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research conducted by Richard Berk, a professor of statistics and criminology at the University of Pennsylvania. He claims his method can predict whether a person released on parole will be involved in a homicide (either kill or be killed). As inputs he uses numerous case-specific variables, including reason for incarceration and date of first offense, but also demographic data like age and gender. Berk suggests that he can forecast a future murder among those on parole with at least a 75 percent probability. That?s not bad. However, it also means that should parole boards rely on Berk?s analysis, they would be wrong as often as one out of four times.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2443-2447 - Seu destaque na página 162 | Adicionado na data sexta-feira, 19 de abril de 2013, 10:07:39
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Also, ironically, by depriving us of choice they would exculpate us from any responsibility.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2441-2441 - Seu destaque na página 161 | Adicionado na data sexta-feira, 19 de abril de 2013, 10:01:17
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through big data we predict who may commit a future crime, we may not be content with simply preventing the crime from happening; we are likely to want to punish the probable perpetrator as well. That is only logical. If we just step in and intervene to stop the illicit act from taking place, the putative perpetrator may try again with impunity. In contrast, by using big data to hold him responsible for his (future) acts, we may deter him and others.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2411-2414 - Seu destaque na página 159 | Adicionado na data sexta-feira, 19 de abril de 2013, 09:55:04
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A research project under the U.S. Department of Homeland Security called FAST (Future Attribute Screening Technology) tries to identify potential terrorists by monitoring individuals? vital signs, body language, and other physiological patterns. The idea is that surveilling people?s behavior may detect their intent to do harm. In tests, the system was 70 percent accurate, according to the DHS. (What this means is unclear; were research subjects instructed to pretend to be terrorists to see if their ?malintent? was spotted?) Though these systems seem embryonic, the point is that law enforcement takes them very seriously.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2404-2408 - Seu destaque na página 159 | Adicionado na data sexta-feira, 19 de abril de 2013, 09:53:59
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For example, Richmond police long sensed that there was a jump in violent crime following gun shows; the big-data analysis proved them right but with a wrinkle: the spike happened two weeks afterwards, not immediately following the event.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2401-2402 - Seu destaque na página 159 | Adicionado na data sexta-feira, 19 de abril de 2013, 09:47:16
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In the city of Memphis, Tennessee, a program called Blue CRUSH (for Crime Reduction Utilizing Statistical History) provides police officers with relatively precise areas of interest in terms of locality (a few blocks) and time (a few hours during a particular day of the week). The system ostensibly helps law enforcement better target its scarce resources. Since its inception in 2006, major property crimes and violent offenses have fallen by a quarter, according to one measure (though of course, this says nothing about causality; there?s nothing to indicate that the decrease is due to Blue CRUSH).
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2395-2399 - Seu destaque na página 158 | Adicionado na data sexta-feira, 19 de abril de 2013, 09:46:19
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A growing number of places in the United States?from precincts in Los Angeles to cities like Richmond, Virginia?employ ?predictive policing?: using big-data analysis to select what streets, groups, and individuals to subject to extra scrutiny, simply because an algorithm pointed to them as more likely to commit crime.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2392-2395 - Seu destaque na página 158 | Adicionado na data sexta-feira, 19 de abril de 2013, 09:42:46
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Parole boards in more than half of all U.S. states use predictions founded on data analysis as a factor in deciding whether to release somebody from prison or to keep him incarcerated.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2391-2392 - Seu destaque na página 158 | Adicionado na data sexta-feira, 19 de abril de 2013, 09:40:40
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And because the government never knows whom it will want to scrutinize, it collects, stores, or ensures access to information not necessarily to monitor everyone at all times, but so that when someone falls under suspicion, the authorities can immediately investigate rather than having to start gathering the info from scratch.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2376-2379 - Seu destaque na página 157 | Adicionado na data quinta-feira, 18 de abril de 2013, 23:41:32
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a former NSA official, estimates that the government has compiled ?20 trillion transactions? among U.S. citizens and others?who calls whom, emails whom, wires money to whom, and so on. To make sense of all the data, the United States is building giant data centers such as a $1.2 billion NSA facility in Fort Williams, Utah.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2367-2369 - Seu destaque na página 156 | Adicionado na data quinta-feira, 18 de abril de 2013, 23:39:56
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For instance, the U.S. National Security Agency (NSA) is said to intercept and store 1.7 billion emails, phone calls, and other communications every day, according to a Washington Post investigation in 2010.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2365-2366 - Seu destaque na página 156 | Adicionado na data quinta-feira, 18 de abril de 2013, 23:39:09
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the era of big data, the three core strategies long used to ensure privacy?individual notice and consent, opting out, and anonymization?have lost much of their effectiveness. Already today many users feel their privacy is being violated. Just wait until big-data practices become more commonplace.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2354-2356 - Seu destaque na página 156 | Adicionado na data quinta-feira, 18 de abril de 2013, 23:35:59
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Researchers at the University of Texas at Austin compared the Netflix data against other public information. They quickly found that ratings by one anonymized user matched those of a named contributor to the Internet Movie Database (IMDb) website. More generally, the research demonstrated that rating just six obscure movies (out of the top 500) could identify a Netflix customer 84 percent of the time. And if one knew the date on which a person rated movies as well, he or she could be uniquely identified among the nearly half a million customers in the dataset with 99 percent accuracy.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2344-2348 - Seu destaque na página 155 | Adicionado na data quinta-feira, 18 de abril de 2013, 22:40:54
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Yet a mere two months later, in October 2006, the movie rental service Netflix did something similar in launching its ?Netflix Prize.? The company released 100 million rental records from nearly half a million users?and offered a bounty of a million dollars to any team that could improve its film recommendation system by at least 10 percent. Again, personal identifiers had been carefully removed from the data. And yet again, a user was re-identified: a mother and a closeted lesbian in America?s conservative Midwest, who because of this later sued Netflix under the pseudonym ?Jane Doe.?
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2340-2344 - Seu destaque na página 155 | Adicionado na data quinta-feira, 18 de abril de 2013, 22:39:59
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In August 2006 AOL publically released a mountain of old search queries, under the well-meaning view that researchers could analyze it for interesting insights. The dataset, of 20 million search queries from 657,000 users between March 1 and May 31 of that year, had been carefully anonymized. Personal information like user name and IP address were erased and replaced by unique numeric identifiers. The idea was that researchers could link together search queries from the same person, but had no identifying information. Still, within days, the New York Times cobbled together searches like ?60 single men? and ?tea for good health? and ?landscapers in Lilburn, Ga? to successfully identify user number 4417749 as Thelma Arnold, a 62-year-old widow from Lilburn, Georgia. ?My goodness, it?s my whole personal life,? she told the Times reporter when he came knocking. ?I had no idea somebody was looking over my shoulder.? The ensuing public outcry led to the ouster of AOL?s chief technology officer and two other employees.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2333-2340 - Seu destaque na página 155 | Adicionado na data quinta-feira, 18 de abril de 2013, 22:35:41
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This change undermines the central role assigned to individuals in current privacy laws. Today they are told at the time of collection which information is being gathered and for what purpose; then they have an opportunity to agree, so that collection can commence. While this concept of ?notice and consent? is not the only lawful way to gather and process personal data, according to Fred Cate, a privacy expert at Indiana University, it has been transmogrified into a cornerstone of privacy principles around the world. (In practice, it has led to super-sized privacy notices that are rarely read, let alone understood?but that is another story.)
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2312-2317 - Seu destaque na página 153 | Adicionado na data quinta-feira, 18 de abril de 2013, 09:29:28
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power creates a ?load signature? that is unique to the appliance. So a hot-water heater is different from a computer, which differs from marijuana grow-lights. Thus a household?s energy use discloses private information, be it the residents? daily behavior, health conditions or illegal activities. The important question, however, is not
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2306-2309 - Seu destaque na página 153 | Adicionado na data quinta-feira, 18 de abril de 2013, 09:23:16
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police forces are starting to use algorithmic models to decide where and when to patrol, which gives a hint of things to come. These trends make the risks inherent in big data as large as the datasets themselves.
Big Data: A Revolution That Will Transform How We Live, Work, and Think - Mayer-Schonberger, Viktor;Cukier, Kenneth Posição 2295-2296 - Seu destaque na página 152 | Adicionado na data quinta-feira, 18 de abril de 2013, 09:17:47
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