Tweets about search engine OR big data
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Demis Hassabis, DeepMind, Artificial Intelligence, Google
Demis Hassabis, DeepMind, Artificial Intelligence, Google--
Demis Hassabis, Founder of DeepMind Technologies and Artificial-Intelligence Wunderkind at Google, Wants Machines to Think Like Us | MIT Technology Review: "... Google snapped up DeepMind shortly after it demonstrated software capable of teaching itself to play classic video games to a super-human level (see “Is Google Cornering the Market on Deep Learning?”). At the TED conference in Vancouver this year, Google CEO Larry Page gushed about Hassabis and called his company’s technology “one of the most exciting things I’ve seen in a long time.” Researchers are already looking for ways that DeepMind technology could improve some of Google’s existing products, such as search. But if the technology progresses as Hassabis hopes, it could change the role that computers play in many fields. DeepMind seeks to build artificial intelligence software that can learn when faced with almost any problem. This could help address some of the world’s most intractable problems, says Hassabis. “AI has huge potential to be amazing for humanity,” he says. “It will really accelerate progress in solving disease and all these things we’re making relatively slow progress on at the moment.”..." (read more at the link above)
Demis Hassabis, Founder of DeepMind Technologies and Artificial-Intelligence Wunderkind at Google, Wants Machines to Think Like Us | MIT Technology Review: "... Google snapped up DeepMind shortly after it demonstrated software capable of teaching itself to play classic video games to a super-human level (see “Is Google Cornering the Market on Deep Learning?”). At the TED conference in Vancouver this year, Google CEO Larry Page gushed about Hassabis and called his company’s technology “one of the most exciting things I’ve seen in a long time.” Researchers are already looking for ways that DeepMind technology could improve some of Google’s existing products, such as search. But if the technology progresses as Hassabis hopes, it could change the role that computers play in many fields. DeepMind seeks to build artificial intelligence software that can learn when faced with almost any problem. This could help address some of the world’s most intractable problems, says Hassabis. “AI has huge potential to be amazing for humanity,” he says. “It will really accelerate progress in solving disease and all these things we’re making relatively slow progress on at the moment.”..." (read more at the link above)
Google, Amazon, Web Services, Data
Look at what Google and Amazon are doing with databases: That's your future | ZDNet: "...."If you're interested in seeing the future of how data-oriented architectures are likely to evolve, the future is already here — just unevenly distributed," Eifrem said. "What that means is if you look at some of the big web services — the Googles and the Amazons of the world — they are already today dealing with the volume and shape of data that everyone else will be working on in five years from now."...."
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Google Flu Trends, Traditional Data
The New Thing in Google Flu Trends Is Traditional Data - NYTimes.com: "...The main critique came in an analysis done by four quantitative social scientists, published earlier this year in an article in Science magazine, “The Parable of Google Flu: Traps in Big Data Analysis.” The researchers found that the most accurate flu predictor was a data mash-up that combined Google Flu Trends, which monitored flu-related search terms, with the official C.D.C. reports from doctors on influenza-like illness. The Google Flu Trends team is heeding that advice. In the blog post, written by Christian Stefansen, a Google senior software engineer, wrote, “We’re launching a new Flu Trends model in the United States that — like many of the best performing methods in the literature — takes official CDC flu data into account as the flu season progresses.”..."
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Drowning In Data
The vast majority of data never gets used. In fact, as MIT Technology Review Senior Editor Antonio Regalado noted in a 2013 article, only 0.5 percent of all data is ever analyzed.
Big Data: Creating the Power to Move Heaven and Earth | MIT Technology Review: :... more data has been created in just the last two years than in the entire previous history of the human race, according to the Scandinavian research group SINTEF. A quick search of the term “Big Data” yields a tangle of statistics, some as superlative as the term they attempt to define... By 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet, according to the annual IDC Digital Universe study. At that point, the world will be looking at digital knowledge in the neighborhood of 44 zettabytes, or 44 trillion gigabytes, up from just 4.4 zettabytes today..."
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Big Data: Creating the Power to Move Heaven and Earth | MIT Technology Review: :... more data has been created in just the last two years than in the entire previous history of the human race, according to the Scandinavian research group SINTEF. A quick search of the term “Big Data” yields a tangle of statistics, some as superlative as the term they attempt to define... By 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet, according to the annual IDC Digital Universe study. At that point, the world will be looking at digital knowledge in the neighborhood of 44 zettabytes, or 44 trillion gigabytes, up from just 4.4 zettabytes today..."
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How Many Rape Reports Are False?
How Many Rape Reports Are False? - Bloomberg View: "....How many women falsely accuse men of rape? A lot of statistics are floating around the Internet: Two percent, say many feminists, the same as other crimes. Twenty-five percent, say other groups who quarrel with the feminists on many issues, or maybe 40 percent. Here’s the real answer: We don’t know. Anyone who insists that we do know should be corrected or ignored. The number of false accusations is what statisticians call a “dark number” -- that is, there is a true number, but it is unknown, and perhaps unknowable. For a deep dive into the reasons it’s so hard to know, I commend you to Cathy Young’s new piece at Slate, in which she details all the problems that confound investigations into false rape accusations. Here’s what we do know: The 2 percent number is very bad and should never be cited. It apparently traces its lineage back to Susan Brownmiller’s legendary "Against Our Will," and her citation for this figure is a single speech by an appellate judge before a small group of lawyers. His source for this statistic was a single area of New York that started having policewomen conduct all rape interviews. This is not data. It is an anecdote about an anecdote...." (read more at link above)
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What Is All That Data Worth?
What’s All That Data Worth? - WSJ: "...“When those kinds of questions arise, they overwhelm the matter,” said Dennis Beresford, who was FASB’s chairman from 1987 to 1997. The lack of consensus on how to measure data’s value creates an especially big blind spot for investors in tech giants like Facebook Inc., eBay Inc. EBAY -0.50% and Google, which rely on the data they collect for the bulk of their revenue. “A lot of what is going on at the companies is not being reflected in public disclosures or the accounting,” said Glen Kernick, a managing director at investment-banking and valuation advisory firm Duff & Phelps Corp...." (read more at link above)
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Big Data Just Killed Happy Hour (video)
Big Data Just Killed Happy Hour -
One of the hottest fields in high-tech right now is big data -- making sense of huge amounts of information on everything from shopping to dating. And now for beer. Bloomberg's Elliott Gotkine reports. (Source: Bloomberg - Sept 22)
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One of the hottest fields in high-tech right now is big data -- making sense of huge amounts of information on everything from shopping to dating. And now for beer. Bloomberg's Elliott Gotkine reports. (Source: Bloomberg - Sept 22)
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Get Good With Data
good at understanding and presenting data:
Last Call — Medium: "...The first piece of advice is the most widely discussed in journalism circles — get good with numbers. The old ‘story accompanied by a chart’ was merely data next to journalism; increasingly, the data is the journalism. Nate Silver has changed our sense of political prediction. ProPublica has tied databases to storytelling better than anyone in the country. Homicide Watch can report more murders (all of them, in fact), using fewer people, than the Washington Post. Learning to code is the gold standard, but even taking an online class in statistics and getting good at Google spreadsheets will help. Anything you can do to make yourself more familiar with finding, understanding, and presenting data will set you apart from people you’ll be competing with, whether to keep your current job or get a new one..."
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Last Call — Medium: "...The first piece of advice is the most widely discussed in journalism circles — get good with numbers. The old ‘story accompanied by a chart’ was merely data next to journalism; increasingly, the data is the journalism. Nate Silver has changed our sense of political prediction. ProPublica has tied databases to storytelling better than anyone in the country. Homicide Watch can report more murders (all of them, in fact), using fewer people, than the Washington Post. Learning to code is the gold standard, but even taking an online class in statistics and getting good at Google spreadsheets will help. Anything you can do to make yourself more familiar with finding, understanding, and presenting data will set you apart from people you’ll be competing with, whether to keep your current job or get a new one..."
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Data, Prisoners in the United States
Prisoners in the United States | Statista: "No country in the world puts more people in jail than the United States. Currently, more than 2.2 million people in the U.S. sit behind bars. Astonishingly, that means the United States has more prisoners than high school teachers, engineers, physicians or lawyers."
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Biggest Florida Gold Heist, Google Search Catches Suspect After Year-Long Manhunt
Suspect in Biggest Gold Heist in Florida History Caught After Year-Long Manhunt - ABC News: "Border patrol guards, weary of Valdez’s story, plugged his name into the international police database, Interpol, but nothing came up, Bolton said. They then Googled his name and that’s when the pieces started coming together. “They did a Google and found the ‘Wanted’ poster I had posted online,” Bolton told ABCNews.com. The border patrol guards immediately contacted Bolton in Florida, who within minutes had them in touch with the U.S. Marshal Service, who verified that Valdez was indeed the man they were looking for." (read more at link above)
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Big Data, Machine Learning, Google Translate
Big Data, Machine Learning, Google Translate--the data-driven algorithmic black box--
"... New, large, cheap data sets and powerful analytical tools will pay dividends – nobody doubts that. And there are a few cases in which analysis of very large data sets has worked miracles. David Spiegelhalter of Cambridge points to Google Translate, which operates by statistically analysing hundreds of millions of documents that have been translated by humans and looking for patterns it can copy. This is an example of what computer scientists call “machine learning”, and it can deliver astonishing results with no preprogrammed grammatical rules. Google Translate is as close to theory-free, data-driven algorithmic black box as we have – and it is, says Spiegelhalter, “an amazing achievement”. That achievement is built on the clever processing of enormous data sets...."
(read more here: FT.com)
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"... New, large, cheap data sets and powerful analytical tools will pay dividends – nobody doubts that. And there are a few cases in which analysis of very large data sets has worked miracles. David Spiegelhalter of Cambridge points to Google Translate, which operates by statistically analysing hundreds of millions of documents that have been translated by humans and looking for patterns it can copy. This is an example of what computer scientists call “machine learning”, and it can deliver astonishing results with no preprogrammed grammatical rules. Google Translate is as close to theory-free, data-driven algorithmic black box as we have – and it is, says Spiegelhalter, “an amazing achievement”. That achievement is built on the clever processing of enormous data sets...."
(read more here: FT.com)
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Causation, Sampling Bias, Big Problems With Big Data
Problems With Big Data?
The promise that “N = All”, and therefore that sampling bias does not matter, is simply not true in most cases that count. As for the idea that “with enough data, the numbers speak for themselves” – that seems hopelessly naive in data sets where spurious patterns vastly outnumber genuine discoveries. “Big data” has arrived, but big insights have not. The challenge now is to solve new problems and gain new answers – without making the same old statistical mistakes on a grander scale than ever. (source infra)
Big data: are we making a big mistake? - FT.com: "...Big data is a vague term for a massive phenomenon that has rapidly become an obsession with entrepreneurs, scientists, governments and the media... As with so many buzzwords, “big data” is a vague term, often thrown around by people with something to sell... Consultants urge the data-naive to wise up to the potential of big data. A recent report from the McKinsey Global Institute reckoned that the US healthcare system could save $300bn a year – $1,000 per American – through better integration and analysis of the data produced by everything from clinical trials to health insurance transactions to smart running shoes. But while big data promise much to scientists, entrepreneurs and governments, they are doomed to disappoint us if we ignore some very familiar statistical lessons. “There are a lot of small data problems that occur in big data,” says Spiegelhalter. “They don’t disappear because you’ve got lots of the stuff. They get worse.”.... Who cares about causation or sampling bias, though, when there is money to be made?...There’s a huge false positive issue...“We have a new resource here,” says Professor David Hand of Imperial College London. “But nobody wants ‘data’. What they want are the answers.” To use big data to produce such answers will require large strides in statistical methods....we’re flying a little bit blind at the moment...." (read more at the link above)
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The promise that “N = All”, and therefore that sampling bias does not matter, is simply not true in most cases that count. As for the idea that “with enough data, the numbers speak for themselves” – that seems hopelessly naive in data sets where spurious patterns vastly outnumber genuine discoveries. “Big data” has arrived, but big insights have not. The challenge now is to solve new problems and gain new answers – without making the same old statistical mistakes on a grander scale than ever. (source infra)
Big data: are we making a big mistake? - FT.com: "...Big data is a vague term for a massive phenomenon that has rapidly become an obsession with entrepreneurs, scientists, governments and the media... As with so many buzzwords, “big data” is a vague term, often thrown around by people with something to sell... Consultants urge the data-naive to wise up to the potential of big data. A recent report from the McKinsey Global Institute reckoned that the US healthcare system could save $300bn a year – $1,000 per American – through better integration and analysis of the data produced by everything from clinical trials to health insurance transactions to smart running shoes. But while big data promise much to scientists, entrepreneurs and governments, they are doomed to disappoint us if we ignore some very familiar statistical lessons. “There are a lot of small data problems that occur in big data,” says Spiegelhalter. “They don’t disappear because you’ve got lots of the stuff. They get worse.”.... Who cares about causation or sampling bias, though, when there is money to be made?...There’s a huge false positive issue...“We have a new resource here,” says Professor David Hand of Imperial College London. “But nobody wants ‘data’. What they want are the answers.” To use big data to produce such answers will require large strides in statistical methods....we’re flying a little bit blind at the moment...." (read more at the link above)
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Mobile Technology, Big Data, Health
After decades as a technological laggard, medicine has entered its data age. Mobile technologies, sensors, genome sequencing, and advances in analytic software now make it possible to capture vast amounts of information about our individual makeup and the environment around us. The sum of this information could transform medicine, turning a field aimed at treating the average patient into one that’s customized to each person while shifting more control and responsibility from doctors to patients.(source infra)
Can Mobile Technologies and Big Data Improve Health? | MIT Technology Review: ".....The question is: can big data make health care better? “There is a lot of data being gathered. That’s not enough,” says Ed Martin, interim director of the Information Services Unit at the University of California San Francisco School of Medicine. “It’s really about coming up with applications that make data actionable.”
"The business opportunity in making sense of that data—potentially $300 billion to $450 billion a year, according to consultants McKinsey & Company—is driving well-established companies like Apple, Qualcomm, and IBM to invest in technologies from data-capturing smartphone apps to billion-dollar analytical systems. It’s feeding the rising enthusiasm for startups as well. Venture capital firms like Greylock Partners and Kleiner Perkins Caufield & Byers, as well as the corporate venture funds of Google, Samsung, Merck, and others, have invested more than $3 billion in health-care information technology since the beginning of 2013—a rapid acceleration from previous years, according to data from Mercom Capital Group...."(read more at link above)
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Can Mobile Technologies and Big Data Improve Health? | MIT Technology Review: ".....The question is: can big data make health care better? “There is a lot of data being gathered. That’s not enough,” says Ed Martin, interim director of the Information Services Unit at the University of California San Francisco School of Medicine. “It’s really about coming up with applications that make data actionable.”
"The business opportunity in making sense of that data—potentially $300 billion to $450 billion a year, according to consultants McKinsey & Company—is driving well-established companies like Apple, Qualcomm, and IBM to invest in technologies from data-capturing smartphone apps to billion-dollar analytical systems. It’s feeding the rising enthusiasm for startups as well. Venture capital firms like Greylock Partners and Kleiner Perkins Caufield & Byers, as well as the corporate venture funds of Google, Samsung, Merck, and others, have invested more than $3 billion in health-care information technology since the beginning of 2013—a rapid acceleration from previous years, according to data from Mercom Capital Group...."(read more at link above)
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Palantir, Propeller, Data
Palantir snaps up Propeller — its second deal this week: ".... The two deals raise the question as to whether Palantir is embarking on an acquisition spree of consumer-facing apps. I’ve reached out to the company for more color, (update: the company declined to comment further) but until then, have some rampant speculation: The simple explanation seems to be Palantir has decided, ten years in, that it’s easier to buy talented data teams than to recruit them. The complex explanation, oversimplified: Palantir needs to enter new markets leading up to its IPO, as the slow sales cycle of its current markets — government, military and finance — isn’t appealing to Wall Street. Palantir is known for its secrecy (it even counts the CIA among its investors), but in recent months the company has tamped down IPO speculation, telling CNBC it has no plans to go public...."
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Data-Driven Health Care
Inside the Business of Data-Driven Health Care | MIT Technology Review:
COMPANIES TO WATCH
Apple
-Computing hardware and software
-A new health app will be built into Apple’s next-generation operating system
-Vital statistic: 150.3 million iPhones were sold in 2013, for $91 billion in revenue...
Epic Systems
-Electronic records
-Makes the software health-care organizations and hospitals use to manage electronic records
-Vital statistic: 100 million patients’ records are accessible to companies using Epic’s health information exchange, Care Everywhere...
Google
-Web search giant
-A new Android app platform is Google’s second attempt at building a health business
-Vital statistic: There are more than 40,000 health apps available for Android phones, but only a handful have been downloaded by more than 500 users...
Illumina
-Genome sequencing
-Sells genome-sequencing machines and tools for analyzing the data
-Vital statistic: $1.42 billion in fiscal 2013 revenue...
Merck Global Health Innovation Fund
-Venture capital arm of pharmaceutical maker
-Invests in new digital health technologies
-Vital statistic: $500 million has been invested in more than 20 companies....
OUTSIDE READING
A PRIMER ON REIMBURSEMENT
FROM THE ARCHIVES
CONFERENCES
(read more at links above)
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COMPANIES TO WATCH
Apple
-Computing hardware and software
-A new health app will be built into Apple’s next-generation operating system
-Vital statistic: 150.3 million iPhones were sold in 2013, for $91 billion in revenue...
Epic Systems
-Electronic records
-Makes the software health-care organizations and hospitals use to manage electronic records
-Vital statistic: 100 million patients’ records are accessible to companies using Epic’s health information exchange, Care Everywhere...
-Web search giant
-A new Android app platform is Google’s second attempt at building a health business
-Vital statistic: There are more than 40,000 health apps available for Android phones, but only a handful have been downloaded by more than 500 users...
Illumina
-Genome sequencing
-Sells genome-sequencing machines and tools for analyzing the data
-Vital statistic: $1.42 billion in fiscal 2013 revenue...
Merck Global Health Innovation Fund
-Venture capital arm of pharmaceutical maker
-Invests in new digital health technologies
-Vital statistic: $500 million has been invested in more than 20 companies....
OUTSIDE READING
A PRIMER ON REIMBURSEMENT
FROM THE ARCHIVES
CONFERENCES
(read more at links above)
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Internet of Things, Streams of Big Data
The Internet of Things Meets Big Data | Big Think | Think Tank: "Chris Curran, the Chief Technologist of PwC, spoke to Big Think about this great technological shift: "Most of the data we think about from an enterprise perspective is sort of modular, it's transactional, it's a call center call or it's a web transaction or it's a sale or it's a quote or it's a piece of data about a product. But the Internet of Things will be creating streams of data. So one of the analogies is how social media creates streams of data..."..."(read more at link above)
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Mobile Technologies, Big Data, Improve Health?
Can Mobile Technologies and Big Data Improve Health? | MIT Technology Review: "After decades as a technological laggard, medicine has entered its data age. Mobile technologies, sensors, genome sequencing, and advances in analytic software now make it possible to capture vast amounts of information about our individual makeup and the environment around us. The sum of this information could transform medicine, turning a field aimed at treating the average patient into one that’s customized to each person while shifting more control and responsibility from doctors to patients. The question is: can big data make health care better? “There is a lot of data being gathered. That’s not enough,” says Ed Martin, interim director of the Information Services Unit at the University of California San Francisco School of Medicine. “It’s really about coming up with applications that make data actionable.” The business opportunity in making sense of that data—potentially $300 billion to $450 billion a year, according to consultants McKinsey & Company—is driving well-established companies like Apple, Qualcomm, and IBM to invest in technologies from data-capturing smartphone apps to billion-dollar analytical systems. It’s feeding the rising enthusiasm for startups as well. Venture capital firms like Greylock Partners and Kleiner Perkins Caufield & Byers, as well as the corporate venture funds of Google, Samsung, Merck, and others, have invested more than $3 billion in health-care information technology since the beginning of 2013—a rapid acceleration from previous years, according to data from Mercom Capital Group... " (read more at link above)
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GlaxoSmithKline, Data Sharing
GlaxoSmithKline Leads a Surprising Push for Data Sharing | MIT Technology Review: "... In May 2013, the company began posting its own data online. Then it invited others to join ClinicalStudyDataRequest.com, where GSK and six other drugmakers have already uploaded data from nearly 900 clinical trials, and more than a dozen research projects are under way. Trial transparency is appealing thanks to a growing sense that it could make drug development more efficient, saving the industry billions while also getting breakthrough therapies to patients more quickly....." (read more at link above)
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Data Doppelgängers, Personalization
Data Doppelgängers and the Uncanny Valley of Personalization - Sara M. Watson - The Atlantic: "....As our behaviors, bodies, and environments are made legible as data, and as our online experiences mesh with our offline ones, we need to try to unpack these uncanny encounters with data. Throughout history, new technologies provoke moral panic and anxiety—in part because those technologies upend our understanding of time, place, and ourselves. But as we adopt and domesticate them, these technologies become integrated into our lives and embedded in the cultural fabric. The more time we spend time with our data doppelgängers, the more familiar they may become. That’s why it is so important to be able to scrutinize our data and hold accountable the systems collecting our data while those processes are still malleable. The same dominant sociotechnical systems that favor data for its objectivity put our subjectivity at risk. We need to demand more ways to keep our data doppelgängers in check." (read more at link above)
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China, Baidu, Andrew Ng, New Silicon Valley Artificial Intelligence Lab
China's Baidu Hires Andrew Ng, Stanford Professor and Google's Deep Learning Collaborator, for New Silicon Valley Artificial Intelligence Lab | MIT Technology Review: "Baidu has long been referred to as “China’s Google” because it dominates Web search in the country. Today the comparison grew more apt: Baidu has opened a new artificial-intelligence research lab in Silicon Valley that will be overseen by Andrew Ng, a Stanford professor who played a key role at Google in a field called deep learning. He was also a cofounder of the online education company Coursera." (read more at link above)
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Statisticians, Bayesian Inference, Found Air France Flight 447
How Statisticians Found Air France Flight 447 Two Years After It Crashed Into Atlantic | MIT Technology Review: "....Stone and co are statisticians who were brought in to reëxamine the evidence after four intensive searches had failed to find the aircraft. What’s interesting about this story is that their analysis pointed to a location not far from the last known position, in an area that had almost certainly been searched soon after the disaster. The wreckage was found almost exactly where they predicted at a depth of 14,000 feet after only one week’s additional search.... the underlying distribution was the probability of finding the wreckage at a given location. That depended on a number of factors such as the last GPS location transmitted by the plane, how far the aircraft might have traveled after that and also the location of dead bodies found on the surface once their rate of drift in the water had been taken into account...."
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How Companies Use Big Data to Cultivate a Brand (video)
How Companies Can Use Big Data to Cultivate a Brand: Video - Bloomberg:
(Allow video to load after clicking play)
Starcom MediaVest Group's Jeffrey Seah discusses how to attract and cultivate a brand with Zeb Eckert on Bloomberg Television's "On The Move Asia." (Source: Bloomberg May 30)
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Starcom MediaVest Group's Jeffrey Seah discusses how to attract and cultivate a brand with Zeb Eckert on Bloomberg Television's "On The Move Asia." (Source: Bloomberg May 30)
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The Limits of Big Data
Pentland’s idea of a “data-driven society” is problematic. It would encourage us to optimize the status quo rather than challenge it
The Limits of Big Data: A Review of Social Physics by Alex Pentland | MIT Technology Review: "Tapping into big data, researchers and planners are building mathematical models of personal and civic behavior. But the models may hide rather than reveal the deepest sources of social ills." (read more at link above)
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The Limits of Big Data: A Review of Social Physics by Alex Pentland | MIT Technology Review: "Tapping into big data, researchers and planners are building mathematical models of personal and civic behavior. But the models may hide rather than reveal the deepest sources of social ills." (read more at link above)
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Big Data, Thin Data, Thick Data, the Real World
A piece of fabric with stars and stripes in three colors is thin data. An American Flag blowing proudly in the wind is thick data.
Your Big Data Is Worthless if You Don’t Bring It Into the Real World | Opinion | WIRED: "To really understand people, we must also understand the aspects of our experience — what anthropologists refer to as thick data. Thick data captures not just facts but the context of facts. Eighty-six percent of households in America drink more than six quarts of milk per week, for example, but why do they drink milk? And what is it like?...Rather than seeking to understand us simply based on what we do as in the case of big data, thick data seeks to understand us in terms of how we relate to the many different worlds we inhabit. Only by understanding our worlds can anyone really understand “the world” as a whole, which is precisely what companies like Google and Facebook say they want to do."
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Your Big Data Is Worthless if You Don’t Bring It Into the Real World | Opinion | WIRED: "To really understand people, we must also understand the aspects of our experience — what anthropologists refer to as thick data. Thick data captures not just facts but the context of facts. Eighty-six percent of households in America drink more than six quarts of milk per week, for example, but why do they drink milk? And what is it like?...Rather than seeking to understand us simply based on what we do as in the case of big data, thick data seeks to understand us in terms of how we relate to the many different worlds we inhabit. Only by understanding our worlds can anyone really understand “the world” as a whole, which is precisely what companies like Google and Facebook say they want to do."
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Big Data, Big Mistake?
Big data: are we making a big mistake? - FT.com: "Cheerleaders for big data have made four exciting claims, each one reflected in the success of Google Flu Trends: that data analysis produces uncannily accurate results; that every single data point can be captured, making old statistical sampling techniques obsolete; that it is passé to fret about what causes what, because statistical correlation tells us what we need to know; and that scientific or statistical models aren’t needed because, to quote “The End of Theory”, a provocative essay published in Wired in 2008, “with enough data, the numbers speak for themselves”. Unfortunately, these four articles of faith are at best optimistic oversimplifications. At worst, according to David Spiegelhalter, Winton Professor of the Public Understanding of Risk at Cambridge university, they can be “complete bollocks. Absolute nonsense.”
(read more at the link above)
(read more at the link above)
Question the Data, Economic Data Bunk
Rule No. 1: Question the data
Rule No. 2: Know what you’re measuring.
Rule No. 3: Look outside the data
(source infra)
Three Rules to Make Sure Economic Data Aren’t Bunk | FiveThirtyEight: "...Economic indicators are often contradictory and always subject to uncertainty, but that isn’t a reason to dismiss them. Economics deals with subjects we encounter daily: jobs, spending, production, prices. It doesn’t take a Ph.D. or even a bachelor’s degree in economics to understand these concepts and how they interact with one another. It shouldn’t take a degree to interpret an economics report, either...." (read more at link above)
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Rule No. 2: Know what you’re measuring.
Rule No. 3: Look outside the data
(source infra)
Three Rules to Make Sure Economic Data Aren’t Bunk | FiveThirtyEight: "...Economic indicators are often contradictory and always subject to uncertainty, but that isn’t a reason to dismiss them. Economics deals with subjects we encounter daily: jobs, spending, production, prices. It doesn’t take a Ph.D. or even a bachelor’s degree in economics to understand these concepts and how they interact with one another. It shouldn’t take a degree to interpret an economics report, either...." (read more at link above)
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Malaysia Airlines flight MH370, Inmarsat, the Truth is in the Data
BBC News - UK firm behind Malaysia Airlines flight MH370 breakthrough: "Dr Boxall continued: "They [Inmarsat] started from scratch. They've probably crammed almost a year's worth of research into maybe a couple of weeks so it's not a routine calculation they would ever, ever make. "So they've been looking at all the signals they have, all the recordings they have, and processing that many times over to try and pinpoint where the plane's signal came from. Technologically it's really quite astounding." He added that Inmarsat must have run through its calculation a number of times and "wouldn't have released this sort of information without being 100% certain"." (read more at link above)
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Stephen Wolfram, Wolfram Language Introduction video
Stephen Wolfram's Introduction to the Wolfram Language:"
Stephen Wolfram introduces the Wolfram Language in this video that shows how the symbolic programming language enables powerful functional programming, querying of large databases, flexible interactivity, easy deployment, and much, much more.(Feb 24, 2014)
To learn more about the Wolfram Language, visit http://www.wolfram.com/language/
For the latest information visit:
http://reference.wolfram.com/language
http://www.wolfram.com
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Stephen Wolfram introduces the Wolfram Language in this video that shows how the symbolic programming language enables powerful functional programming, querying of large databases, flexible interactivity, easy deployment, and much, much more.(Feb 24, 2014)
To learn more about the Wolfram Language, visit http://www.wolfram.com/language/
For the latest information visit:
http://reference.wolfram.com/language
http://www.wolfram.com
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NSA Spinoff Sqrrl, Commercializing Big Data Software
NSA Spinoff Sqrrl Is Commercializing Big Data Software | MIT Technology Review: "It takes more than a little tradecraft to spin off a startup from the National Security Agency. Chris Lynch, an investor with Atlas Venture, knows this firsthand. Two years ago, he spent weeks trying to sign a deal with nervous NSA programmers who not only were sworn to secrecy but were barred from carrying cell phones at work. There were furtive Skype conversations and parking-lot phone calls that would end after strange clicks. Eventually, $2 million in seed money was enough to lure five programmers from the NSA. These days they’re working at Sqrrl, a company in Cambridge, Massachusetts, that’s selling a commercial version of the database behind some of the spy agency’s most controversial eavesdropping programs. “These guys were government hacks working in a cave, and in a highly structured environment,” says Lynch. “Kind of the opposite of an entrepreneur.”..." (read more at link above)
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Data Without Endangering Privacy
Intel Invents a Way to Combine Data Sets without Endangering Privacy | MIT Technology Review: "....Chipmaker Intel thinks it has a way to let valuable data be combined and analyzed without endangering anyone’s privacy. Its researchers are testing a super-secure data locker where a company could combine its sensitive data with that from another party without either side risking that raw information being seen or stolen...."
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The Big Data We Give Away
Big Data and Privacy -- the issue is not going away --
Obama's NSA phone-record law ignores the other (big) data we're giving away | Dan Gillmor | Comment is free | theguardian.com: " . . . But the future of information hoovering is about much more than "metadata": this is your every move, collected and massaged already by an array of for-profit companies, as well as a new generation of businesses being created to take advantage of the very real benefits – and very frightening downsides – of what's being called the Big Data era. Part of this is the longstanding collection by third parties that exist to know – and sell – everything about us. Companies like Acxiom have way more personal information, and get far less scrutiny, than the online operators, though that ratio is changing as the Googles of the world push for ever-deeper understanding of how we behave and think, how we get to the bus stop and dress for work. Another part is even more hidden. The police need a warrant to install a GPS tracker in your car, but they can just buy your location from businesses that aim, via license-plate photography, to build a nationwide database of everywhere you've driven. This kind of bulk collection is going to spread, because it can. The worst part is, you and I have too little control – if any...."
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Obama's NSA phone-record law ignores the other (big) data we're giving away | Dan Gillmor | Comment is free | theguardian.com: " . . . But the future of information hoovering is about much more than "metadata": this is your every move, collected and massaged already by an array of for-profit companies, as well as a new generation of businesses being created to take advantage of the very real benefits – and very frightening downsides – of what's being called the Big Data era. Part of this is the longstanding collection by third parties that exist to know – and sell – everything about us. Companies like Acxiom have way more personal information, and get far less scrutiny, than the online operators, though that ratio is changing as the Googles of the world push for ever-deeper understanding of how we behave and think, how we get to the bus stop and dress for work. Another part is even more hidden. The police need a warrant to install a GPS tracker in your car, but they can just buy your location from businesses that aim, via license-plate photography, to build a nationwide database of everywhere you've driven. This kind of bulk collection is going to spread, because it can. The worst part is, you and I have too little control – if any...."
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Wikipedia Editing Bots
Read full article below at link (excerpt follows):
The Shadowy World of Wikipedia's Editing Bots | MIT Technology Review: "An interesting corollary is that bots are becoming much more capable at producing articles of all kinds. The first Wikipedia bot, which was developed in 2002, automatically created entries for U.S. towns using a simple text template. Today, there are automated feeds that produce stories about financial results and sporting results using simple templates: “Team A” beat “Team B” by “X amount” today in a match played at “Venue Y.” All that’s required is to cut and paste the relevant information into the correct places. It’s not hard to see how this could become much more sophisticated. And while this kind of automated writing can be hugely useful, particularly for Wikipedia and its well documented problems with manpower, it could also be used maliciously too. So ways of monitoring automated changes to text are likely to become more important in future."
Ref: arxiv.org/abs/1402.0412: Bots vs. Wikipedians, Anons vs. Logged-Ins
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The Shadowy World of Wikipedia's Editing Bots | MIT Technology Review: "An interesting corollary is that bots are becoming much more capable at producing articles of all kinds. The first Wikipedia bot, which was developed in 2002, automatically created entries for U.S. towns using a simple text template. Today, there are automated feeds that produce stories about financial results and sporting results using simple templates: “Team A” beat “Team B” by “X amount” today in a match played at “Venue Y.” All that’s required is to cut and paste the relevant information into the correct places. It’s not hard to see how this could become much more sophisticated. And while this kind of automated writing can be hugely useful, particularly for Wikipedia and its well documented problems with manpower, it could also be used maliciously too. So ways of monitoring automated changes to text are likely to become more important in future."
Ref: arxiv.org/abs/1402.0412: Bots vs. Wikipedians, Anons vs. Logged-Ins
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Search Engines, Smartphones, Data Collection, Privacy
From Search Engines to Smartphones, Technology Gets a Privacy Overhaul | MIT Technology Review: "...Some small companies are now redesigning smartphones and Web browsers to give people more control over that kind of data collection. The founders of these startups claim that many people want an alternative to the data-slurping status quo, and that services such as search engines can be run profitably without harvesting much data...."
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New York Times Chief Data Scientist, Machine Learning, Subscriptions
The New York Times Hires a Chief Data Scientist and Hopes Machine Learning Can Boost Subscriptions | MIT Technology Review: "....The Times doesn’t lack for data—its readers make nine million visits a day to its home page. “But we really needed someone to give us insights about why people subscribe and how to retain them,” says Frons. “Before they pick up the phone and say ‘I want to cancel,’ you could predict by the patterns of their behavior, like not logging in as much, that they might do that.”..."
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Lifelogging, Digital Autobiography
10 things you need to know about – lifelogging | Technology | The Observer: "New apps for smartphones, fitness trackers and wearable cameras make up your own digital autobiography . . . Storing details of everything you do isn't a new concept, but a new breed of apps and gadgets is helping…" (read more at link above)
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Brains, Artificial Intelligence, Processors
What do you need: a calculator or human-like intelligence? --
Processors That Work Like Brains Will Accelerate Artificial Intelligence | MIT Technology Review: "...“Modern computers are inherited from calculators, good for crunching numbers,” says Dharmendra Modha, a senior researcher at IBM Research in Almaden, California. “Brains evolved in the real world.” Modha leads one of two groups that have built computer chips with a basic architecture copied from the mammalian brain under a $100 million project called Synapse, funded by the Pentagon’s Defense Advanced Research Projects Agency...."
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Processors That Work Like Brains Will Accelerate Artificial Intelligence | MIT Technology Review: "...“Modern computers are inherited from calculators, good for crunching numbers,” says Dharmendra Modha, a senior researcher at IBM Research in Almaden, California. “Brains evolved in the real world.” Modha leads one of two groups that have built computer chips with a basic architecture copied from the mammalian brain under a $100 million project called Synapse, funded by the Pentagon’s Defense Advanced Research Projects Agency...."
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Amazon, Google, Shopping Search
The giants are at war -- Amazon (shopping) vs Google (search/ads) --
Amazon vs. Google: It's A War for the Shopping Search - WSJ.com: "...One happy advertiser using Google's new ads is John James, chief executive of Acumen Brands, which owns retailer CountryOutfitter.com. The product-listing ads "perform very well," he says, particularly when searchers know what they are seeking, like the Ariat Rambler Cowboy Boots his company advertises on Google. "They are definitely a way to unlock value compared to old text ads," Mr. James says. At stake is supremacy in the U.S. e-commerce market, which comScore expects to rise 14% to around $210 billion this year. While many think of Amazon and Google as being in separate businesses, the two are locked in fierce competition to be the first search box shoppers turn to when they are browsing products online. As more Internet users begin searches on Amazon's marketplace—which comprises an array of vendors besides itself—Google loses an opportunity to show them ads...."
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Amazon vs. Google: It's A War for the Shopping Search - WSJ.com: "...One happy advertiser using Google's new ads is John James, chief executive of Acumen Brands, which owns retailer CountryOutfitter.com. The product-listing ads "perform very well," he says, particularly when searchers know what they are seeking, like the Ariat Rambler Cowboy Boots his company advertises on Google. "They are definitely a way to unlock value compared to old text ads," Mr. James says. At stake is supremacy in the U.S. e-commerce market, which comScore expects to rise 14% to around $210 billion this year. While many think of Amazon and Google as being in separate businesses, the two are locked in fierce competition to be the first search box shoppers turn to when they are browsing products online. As more Internet users begin searches on Amazon's marketplace—which comprises an array of vendors besides itself—Google loses an opportunity to show them ads...."
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Science, Scientists, Data Loss
Data loss -- it's a problem, a big problem --
Scientists losing data at a rapid rate : Nature News & Comment: "... The authors of the study, which is published today in Current Biology1, looked for the data behind 516 ecology papers published between 1991 and 2011. The researchers selected studies that involved measuring characteristics associated with the size and form of plants and animals, something that has been done in the same way for decades. By contacting the authors of the papers, they found that, whereas data for almost all studies published just two years ago were still accessible, the chance of them being so fell by 17% per year. Availability dropped to as little as 20% for research from the early 1990s...."
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Scientists losing data at a rapid rate : Nature News & Comment: "... The authors of the study, which is published today in Current Biology1, looked for the data behind 516 ecology papers published between 1991 and 2011. The researchers selected studies that involved measuring characteristics associated with the size and form of plants and animals, something that has been done in the same way for decades. By contacting the authors of the papers, they found that, whereas data for almost all studies published just two years ago were still accessible, the chance of them being so fell by 17% per year. Availability dropped to as little as 20% for research from the early 1990s...."
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Fraudulent Web Traffic, the Bots, Statistics
Web traffic statistics? Garbage. It's mostly bots --
Solve Media Blog, Fraudulent Web Traffic Tips the Scale in the United States: "...“Today’s data is a wake up call for unprotected US publishers and advertisers alike - as an industry, we can no longer deny that bot traffic is eating away at the overall quality and effectiveness of our collective saleable audience. Think of it this way - a premium could be charged by publishers who commit to ensuring human verification of audiences - that level of security and guaranteed performance is where publishers should focus first as they attempt to create and sell new advertising products to brands,” said Chris Wysopal, Chief Technology Officer, Veracode and member of Solve Media’s Security Council. Bots crowd web, video and mobile traffic and cause advertisers to pay for impressions, views and clicks that are not being engaged with by real people. Malicious bots undermine the security of the web and cause harm, including stealing publisher content, creating spam assets and phishing..."
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Solve Media Blog, Fraudulent Web Traffic Tips the Scale in the United States: "...“Today’s data is a wake up call for unprotected US publishers and advertisers alike - as an industry, we can no longer deny that bot traffic is eating away at the overall quality and effectiveness of our collective saleable audience. Think of it this way - a premium could be charged by publishers who commit to ensuring human verification of audiences - that level of security and guaranteed performance is where publishers should focus first as they attempt to create and sell new advertising products to brands,” said Chris Wysopal, Chief Technology Officer, Veracode and member of Solve Media’s Security Council. Bots crowd web, video and mobile traffic and cause advertisers to pay for impressions, views and clicks that are not being engaged with by real people. Malicious bots undermine the security of the web and cause harm, including stealing publisher content, creating spam assets and phishing..."
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Rap Genius, Google Search, the Truth
If only Google was 1/2 as good as they think they are at catching spam, scams, linking violations, etc. EVERY DAY, on Google.com, scammy, spammy websites rank high on the first page! --
Why the Rap Genius Story Is Really About Google | Entrepreneur.com: " . . . So why did it take an unaffiliated blogger to out Rap Genius's methods? Either Google either didn't catch the problem or ignored it . . . Keep in mind, Rap Genius's methods were not subtle: They invited bloggers to join their "affiliate program," which meant bloggers placed Rap Genius links in posts in exchange for promotion. So basically Rap Genius purchased links with free promotion. And their link growth exploded. Between September and November 2013, Rap Genius doubled the number of links pointing at their site, adding more than 20,000 to their link profile, according to Majestic SEO's link intelligence tool. And it's exactly the kind of anomaly Google (claims it) catches. So, Google either missed Rap Genius's questionable link strategy, or decided to ignore it. The search giant only acted when a blogger with no Google affiliation revealed Rap Genius's behavior. . . ."
I am not anti-Google, but really, WTF Matt Cutts!
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Why the Rap Genius Story Is Really About Google | Entrepreneur.com: " . . . So why did it take an unaffiliated blogger to out Rap Genius's methods? Either Google either didn't catch the problem or ignored it . . . Keep in mind, Rap Genius's methods were not subtle: They invited bloggers to join their "affiliate program," which meant bloggers placed Rap Genius links in posts in exchange for promotion. So basically Rap Genius purchased links with free promotion. And their link growth exploded. Between September and November 2013, Rap Genius doubled the number of links pointing at their site, adding more than 20,000 to their link profile, according to Majestic SEO's link intelligence tool. And it's exactly the kind of anomaly Google (claims it) catches. So, Google either missed Rap Genius's questionable link strategy, or decided to ignore it. The search giant only acted when a blogger with no Google affiliation revealed Rap Genius's behavior. . . ."
I am not anti-Google, but really, WTF Matt Cutts!
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Google Quality Violation, How to Fix Your Website
Execution, Patience, Perserverance, Follow through --
How to Fix Your Website If You Violate Google's Quality Guidelines | Entrepreneur.com: "...NoFollow is adding a rel=”nofollow” attribute to the tag, which communicates to Google that this link should not influence a target links ranking. To learn more about NoFollow and Google, get it from the horse’s mouth. Next, we contacted website owners via WhoIs.net, contact forms, email and social media, and simply asked them to delete links to our site. We were able to remove almost 70 percent of the harmful links. Then, we added the rest of the bad links to Google’s Disavow Tool. But, after sending several requests for Google to review our site’s negative standing, we got only automatic responses from Google’s Webspam team that our site continued to violate the guidelines...." (read more at link above)
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How to Fix Your Website If You Violate Google's Quality Guidelines | Entrepreneur.com: "...NoFollow is adding a rel=”nofollow” attribute to the tag, which communicates to Google that this link should not influence a target links ranking. To learn more about NoFollow and Google, get it from the horse’s mouth. Next, we contacted website owners via WhoIs.net, contact forms, email and social media, and simply asked them to delete links to our site. We were able to remove almost 70 percent of the harmful links. Then, we added the rest of the bad links to Google’s Disavow Tool. But, after sending several requests for Google to review our site’s negative standing, we got only automatic responses from Google’s Webspam team that our site continued to violate the guidelines...." (read more at link above)
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Links, Rap Genius, Google Rules
When it comes to Links, better follow the Google Rules --
Why the Rap Genius Story Is Really About Google | Entrepreneur.com:
A few rules for companies:
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Why the Rap Genius Story Is Really About Google | Entrepreneur.com:
A few rules for companies:
- Never pay for links.
- Don't barter anything, including promotion or in-kind services, for links. To Google, that's the same as paying.
- Don't frequently publish press releases to build links. Weekly press releases with highly-optimized links will definitely trigger Google's detection tools. Use common sense.
- Don't acquire links by asking for them. Period. You should acquire links by capturing the interest of an audience. That's marketing. And in the end, it's what will always work.
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Avoid Google Trouble, Use Nofollow Tags
Avoid Google trouble -- use nofollow tags --
source: Search Engine Land
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source: Search Engine Land
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