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”Basically, our goal is to organize the world’s information and to make it universally accessible and useful” Larry Page
“People have really gotten comfortable not only sharing more information and different kinds, but more openly and with more people - and that social norm is just something that has evolved over time” Mark Zuckerberg
“It's not an experiment if you know it's going to work” Jeff Bezos
“Software is also eating much of the value chain of industries that are widely viewed as primarily existing in the physical world.” Marc Andreessen
“You will always learn more on the automation of the process than on the product itself” Elon Musk
WSJ 2011, SW is eating the world Marc Andreessen (Cedar Falls, 9 luglio 1971) è un informatico e imprenditore statunitense. È anche meglio conosciuto come coautore di Mosaic, il primo web browser ad essere vastamente utilizzato, e cofondatore di Netscape Communications Corporation. Era amministratore delegato della Opsware, una impresa di software fondata originariamente con il nome di Loudcloud, quando questa è stata acquisita da Hewlett-Packard. Inoltre, è anche cofondatore di Ning, un'impresa che fornisce una piattaforma per la creazione di siti di reti sociali.
A machine can read millions of essays or see millions of eyes within minutes. We have no chance of competing against machines on frequent, high-volume tasks. But there are things we can do that machines can't do. Where machines have made very little progress is in tackling novel situations.
And it's important to recognize that this is true by virtue of speed alone. Right? So imagine if we just built a superintelligent AI that was no smarter than your average team of researchers at Stanford or MIT. Well, electronic circuits function about a million times faster than biochemical ones, so this machine should think about a million times faster than the minds that built it. So you set it running for a week, and it will perform 20,000 years of human-level intellectual work, week after week after week. How could we even understand, much less constrain, a mind making this sort of progress?
In a new paper, researches at Rutgers University in New Jersey and the Atelier for Restoration & Research of Paintings in the Netherlands examined how machine learning can be harnessed to more effectively spot fakes. (source: PSFK)Given audio of President Barack Obama, researchers synthesized a high quality video of him speaking with accurate lip sync, composited into a target video clip. (University of Washinghton)Larger entities, such as Alibaba, are utilizing big data techniques to identify fakes and stop them at their source, ameliorating supply chain issues. The company's software scans roughly 10 million products a dayEntrupy, a startup that uses a microscopic camera connected to a smartphone to take photos of the product for analyzation, recently added a mechanism that uses machine-learning algorithms to detect whether a product is real or not.
Domino’s lets you easily build a new pizza (or reorder your favorite pizza) and track your order all from Facebook MessengerTell H&M’s Kik chatbot about a piece of clothing you have and they’ll build an outfit for youBrands including AirBnB, Evernote, and Spotify started using chatbots on Twitter to provide 24/7 customer serviceBanks have created chatbots to let you check in on your account, such as your current balance and most recent transactions. And there are tax bots that help you track your business and deductible expensesSimply request a new meeting to Meekan and this Slack chatbot will look at everyone’s calendars to find times when everyone is availableChatbots will let you search for and compare flights based on price and location. Kayak’s chatbot even lets you book your flights and hotels entirely from inside Facebook MessengerYou can get the latest headlines from mainstream media sources like CNN, Fox News, or the Guardian. Or you can get the latest tech headlines from TechCrunch or Engadget
Big Data Applied to Tax Evasion Detection (IEEE Research Paper, 2016): the review resulted in the finding of 56 works of which 5 were identified as primary study. Categorized by the studies that address the problem by the use of pattern recognition methodologies, natural language processing and data analytics in auditing. In Maryland, the people charged with rooting out false refund claims are members of the Questionable Return Detection Team (QRDT). Like their counterparts in many other states, these experts use software to identify suspicious returns. They then investigate the returns to pinpoint which ones are fraudulent. Insights from analytics will help Indiana pursue six public policy goals: Increase private sector employment; attract new investment to the state; improve the quality of the state’s workforce; improve the health, safety and well-being of families; increase high school graduation rates; and improve the math and reading skills of elementary students. The state of Indiana acquired an in-memory computing platform to accomplish these goals.The University of Chicago’s Computation Institute builds solutions for big data projects like genomics analysis. Needing a cost-effective way to provide always-on service to labs around the world, it hosts its Globus Transfer and Globus Genomics services on AWS.The Municipal Property Assessment Corporation runs its core property valuation engine 5,000 percent faster at one-tenth the cost using AWS instead of its older IT architecture. MPAC is a public sector organization responsible for providing valuations for more than 5 million properties across Canada. HMRC has replaced conventional debt processing systems with an innovative IT solution capable of mass customizing debt collection interventions based on insights into customer behaviour. Flexible, analytics-based collections have underpinned a key part of HMRC’s Debt Management Change Programme, which is well on its way to delivering targeted benefits of over £3billion additional debt collected by March 2015.
American Express starts looking for indicators that could predict loyalty and developed sophisticated predictive models to analyze historical transactions and 115 variables to forecast potential churn. The company believes it can now identify 24% of accounts that will close within the next four months“BankAmeriDeals” provides cash-back offers to credit and debit-card customers based upon analyses of their prior purchases.Mint.com is a free web-based personal financial management service for the US and Canada. Mint.com uses big data to provide users information about their spending by category and have a look where they spent their money in a given week, month or yearWith a full history of mergers & acquisitions, Nordea needed a financial performance environment allowing end-to-end data lineage and governance ensuring quality, transparency and traceability.Social lending platforms and other Fintech such as Lenddo, Lending Club, Zest, etc. use Big Data platforms to assess solvability of customers
Who fears an algorithmic society?
"The question of whether a
computer can think is no more
interesting than the question of
whether a submarine can swim"
"Any AI smart enough
to pass a Turing test is
smart enough to know
to fail it“
"All this talk about artificial
intelligence is really just hype, it
will take at least fifty years before
we have to let them vote"
“By their very nature, heuristic
shortcuts will produce biases, and
that is true for both humans and
artificial intelligence, but the
heuristics of AI are not necessarily
the human ones”
From the realm of “really helpful” to the realm of
Counterfeiting vs. Anti-
Chatting with bots
Changing the way of
Big Data for enhanced