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IoT Central Digest, September 16, 2016

In this issue we interview Autodesk's Bryan Kester. Hey wait a minute, you say, Autodesk is CAD, not IoT. Well read our interview to learn how Autodesk is more IoT than you think. Also, Bill McCabe looks at the skills for IoT and we revisit one of our most popular posts: Internet of Things Landscape 2016 - In One Diagram.  If you're interested in being featured, we always welcome your contributions on all things IoT Infrastructure, IoT Application Development, IoT Data and IoT Security, and more. All members can post on IoT Central. Consider contributing today. Our guidelines are here.

Autodesk's Bryan Kester - Skills for the IoT pro, disagreement with Gartner, and what's next for IoT

By David Oro 

In our latest installment of interviews with IoT practitioners, we interview Bryan Kester, Director of IoT, Autodesk, Inc. Bryan leads the Internet of Things (IoT) Product Group at Autodesk. We asked him questions about Gartner's prediction of IoT maturation, his take on the IoT platform wars, the skills sets needed in this rapidly emerging and changing field, and what's next for IoT. Bryan predicts, "There will be some continued hype and then a subtle, but significant shakeout among both pure play and "me too" vendors. Those that help simplify the systems integration nature of IoT will have a future."

Internet of Things Landscape 2016 - In One Diagram

By David Oro

Matt Turck, a venture capitalist at FirstMark, has mapped out the Internet of Things Landscape for 2016.

Matt notes "The IoT today is largely at this inflection point where “the future is already here but it is not evenly distributed”. From ingestibles, wearables, AR/VR headsets to connected homes and factories, drones, autonomous cars and smart cities, a whole new world (and computing paradigm) is emerging in front of us. But as of right now, it just feels a little patchy, and it doesn’t always look good, or work great – yet."

Deep Learning Applications for Smart cities

By Ajit Joakar

This blog is based on my talk in London at the Re.work Connected City Summit on Deep Learning Applications for Smart cities. The talk is based on a forthcoming paper created with the help of my students atUPM/citysciences on the same theme.

Here are some notes on our approach:

  • When we speak of Machines – the media dramatizes the issue.  Yet,  city officials and planners plan for ten to twenty years in the future. They will have to consider many of these issues in a pragmatic way.
  • Deep Learning / Artificial Intelligence will impact many aspects of Smart cities. We decided to approach the subject in a pragmatic manner and to explore the impact of Deep Learning/AI technology on the lives of future citizens.

How could self-learning machines affect humanity in cities?

The Great IOT Recruiting Rush

Posted by Bill McCabe 

With many IT professionals with business experience in hot industries like healthcare, telecom and wearables looking to make the switch from systems software and other terrestrial IT-based positions to M2M or IOT strategy, leadership and sales, what are the skills you need to work on the IOT.

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