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[slides] @Dyn's Cloud #APM and #NPM at @CloudExpo #AI #ML #Monitoring

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With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track. The upcoming 20th International @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA announces that its Call For Papers for speaking opportunities is open.


Cognitive Technologies and Automated Analytics: Is There a Difference?

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For identical reasons, cognitive technology has made a huge splash in business -- it just topped the International Institute for Analytics (IIA) list of top 2016 analytics trends, and is expected to "subsume" automated analytics. A more useful definition comes from Deloitte, which describes AI as, "computer systems able to perform tasks that normally require human intelligence." Very simply stated, deep learning allows computers to process many layers (10) of complex data sets simultaneously. In fact, as IIA co-founder Tom Davenport notes (via TechTarget), analytics professionals have long used deep learning, neural networks, and related technologies like logistic regression in their products.