MIT, White House co-sponsor workshop on big-data privacy

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On Monday, MIT hosted a daylong workshop on big data and privacy, co-sponsored by the White House as part of a 90-day review of data privacy policy that President Barack Obama announced in a Jan. 17 speech on U.S. intelligence gathering. White House Counselor John Podesta, grounded by snow in Washington, delivered his keynote address and took questions over the phone. But Secretary of Commerce Penny Pritzker was on hand, as were MIT President L. Rafael Reif and a host of computer scientists from MIT, Harvard University, and Microsoft Research, who spoke about the technical challenges of protecting privacy in big data sets. In his brief opening remarks, Reif mentioned the promise of big data and the difficulties that managing it responsibly poses, and he offered the example of MIT's online-learning initiative, MITx, to illustrate both. "We want to study the huge quantities of data about how MITx students interact with our digital courses," he said.


How will automation affect the future of work?

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Several years ago, Canary Pete's political cartoon flooded email inboxes and social media pages. The humorous illustration showed a middle-aged executive walking into a typical job interview, with the exception that he had to build his own office chair (since he was applying to work at IKEA). Pete's satire might be short-lived, as last week the robotics industry achieved a new milestone – building an IKEA chair in less than 10 minutes! It is unclear how soon bots will be replacing human assemblers like TaskRabbit, but in the the words of Jackie DeChamps, Chief Operating Officer of IKEA USA,"We are always looking at ways we can innovate and help make our customers' lives at home easier." Addressing the elephant in the room, I debated a colleague earlier this month at The Frontier Conference in New Orleans.


How Artificial Intelligence Can Change Higher Education

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On the day I met Sebastian Thrun in Palo Alto, the State of California legalized self-driving cars. Gov. Jerry Brown arrived at the Google campus in one of the company's computer-controlled Priuses to sign the bill into law. "California is a big deal," said Thrun, the founder of Google's autonomous-car program, "because it tends to be hard to legislate here." He said it with typical understatement. An idea that was in its technological infancy a decade ago, when Thrun and his colleagues were racing to develop a vehicle that could drive itself more than a few miles on a desert test course, was now being officially sanctioned by the country's most populous state.


Salesforce Einstein Discovery - Easy AI and Machine Learning

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Salesforce Einstein Discovery - Easy AI and Machine Learning

@machinelearnbot

This course is for the absolute beginner to Artificial Intelligence (AI), Machine Learning, Deep Learning, and Data Science. If you are feeling overwhelmed by either the tsunami of data that you are tasked with trying to make sense out of, or overwhelmed by the tsunami of media coverage around Artificial Intelligence, Deep Learning, Data Science, and Machine Learning, I am here to share a competitive advantage. There is an AI and Data Discovery platform that can be constructed and configured with clicks instead of code. The disruptive power of this is that Artificial Intelligence is now available to the masses, and not just to the quants and data scientists among us. You can now not only catch the competition, but leap frog past them, by leveraging Salesforce Einstein as your On-Demand Data Scientist.