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As we've reported previously, the Internet of Things is changing data science, and a visiting executive from analytics company SAS went into further detail into how IoT along with artificial intelligence is reshaping the industry. Oliver Schabenberger is the executive VP of SAS's research and development division and recently appointed CTO, and was recently in Sydney to discuss updates to the new SAS Viya analytics platform and to share his thoughts on the future of the analytics industry. He said that IoT has led to the increasing importance of edge analytics, with data now being observed on a continuum, requiring differing techniques to be deployed depending on observation point, accuracy and speed of data movement. "We can no longer just think about processing data in the cloud; we also have to think about event stream processing," he added. He also said that analytics software is quickly transitioning into the cognitive space, where sensing, listening and gesturing will become common forms of input, and reading and writing of human-like responses will become common forms of output.

Avatar breakthrough as AI that can create a perfect 3D face from a single picture is revealed (and they've tried it out on Donald Trump, Hillary Clinton and even Muhammad Ali) The stunning maps made from three million satellite images... The'golden cigar' UFO: Strange object flashes red and blue... The future of flying: NASA tests radical new embedded jet... Would YOU grow cannabis in your kitchen? The stunning maps made from three million satellite images... The'golden cigar' UFO: Strange object flashes red and blue...

The things we really need are getting more expensive. Other stuff is getting cheaper.

Microsoft is bringing Windows 10 desktop to Qualcomm's ARM processors, setting the stage for a new class of cellular-connected, Windows 10 mobile PCs. And the icing on the cake: Microsoft will add an emulation layer to this version of Windows 10 for ARM that will enable x86/Win32 apps to run. Microsoft officials delivered the big news to the company's PC-maker partners at WinHEC in Shenzhen, China, on December 8. At that conference for Microsoft's OEM partners, Microsoft demonstrated a version of Windows 10 running on Qualcomm's Snapdragon 820 processor. Microsoft currently provides Windows 10 Mobile, a variant of Windows 10 for ARM-based phones only.

WinHEC (Windows Hardware Engineering Community) is Microsoft's string of conferences designed to get hardware developers jazzed about developing for the Windows platform. Microsoft's goal, like anyone with an ecosystem, is to get their fair share of resources committed to their platform. At this year's WinHEC 2016 in Shenzhen today, Microsoft laid out what could possibly be the biggest look into the future of the personal computing platform we have seen in a while. Part of that has to do with the upcoming Creator's Update that is coming to Windows 10 next year that will enable new and more immersive user experiences. Microsoft brought both Intel and Qualcomm on stage to talk about the developments from each of the companies and how each of them is working with Microsoft to enable new experiences to users with Windows.

The previous post concentrated on deciding if a categorical Machine Learning model should be released for production or not. This post concentrates on interpreting the scores of a regression model and the implication in using it in a decision management feature. Decision management solutions apply business rules written by humans and automatically apply them to the cases they are presented. Digital masters are more likely to include the output from a machine learning prediction into their decision management systems than those who are just starting their digital journey. If the last inspection was 30 days ago then put the battery on the "inspection due" list.

Loyal readers will recall that last spring we conspired with artificial intelligence expert Randal Olson to develop the ultimate U.S. road trip. The map Olson came up with -- he did all the work, really -- optimized the best way to drive by car to 50 major U.S. landmarks, using machine learning algorithms and Google Maps. We're happy to report that Olson is back at it, just in time for summer road tripping. By leveraging the power of genetic algorithms and other artificial intelligence technology, Olsen's optimized loop route will get you across the country and back in a little over eight days -- starting in Concord, N.H., and dropping you back in Boston, Mass. How did Olson generate his road trip map?