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The Internet of Things: Opportunities to Move the Needle

The automated vote-counting machine was designed by Thomas Edison in 1869 to replace roll call voting in the U.S. Congress and was never used. The motor scooter was designed in post-war Italy to be a motorcycle for women and became a revolutionary transport mechanism for a larger population. The Javaprograming language was originally designed in the 1990s for use by set-top boxes. And eBay was created to sell Pez dispensers. History has many examples of how original use case definitions became irrelevant in the face of market economics. Like any other new technology, the Internet of Things (IoT) will create an ecosystem with its share of winners, losers, survivors — and needle movers.

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Topics: industrial big data, analytics, new data types, 2015, big data, advanced analytics, quantitative analytics, instrumentation, IoT, Internet of Things

Mindset over Data Set - Sand Hill Big Data Study

“Meeting adjourned!” the chairman announces. In one swift move, I’m out of my chair and walking toward the door ahead of the other board members when I hear my name, and there’s no mistaking that voice. 

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Topics: industrial big data, analytics, Hadoop, big data, Big Data practicioner, data scientist, data analytics infrastructure, Big Data Prescriptions, business insights, business perspective solutions, predictive analytics

2014 Year in PreReview for Big Data Analytics

In the movie “Minority Report,” set in 2054, Tom Cruise plays the captain of the “PreCrime” police force, which uses “precognitive” abilities of mutants to stop crime before it happens. Silicon Valley futurists have sometimes used this reference in the context of the art of the possible with Big Data. We have another 40 years to go to see how analytics can accurately forecast future events based on human behavior. Meanwhile, imagining the future with some level of accuracy is within our reach today. 

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Topics: industrial big data, PreReview, 2014, analytics, Hadoop, big data, advanced analytics, quantitative analytics, data scientist, analytics as a service, data analytics infrastructure, digital marketing, business insights, business perspective solutions, predictive analytics

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