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Understanding the 5Vs of Big Data

Acuvate

In order to understand at what point ‘data’ transitions into being ‘big data’, and what its key elements are, it is imperative that we study the 5 Vs associated with it: Velocity, Volume, Value, Variety, and Veracity. What is Big Data. Big data volume defines the ‘amount’ of data that is produced.

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Understanding the Innovation Landscape needed for Enabling Technologies in the World’s Energy Transition

Paul Hobcraft

To have any chance to reverse these temperature rises there is an increasing emphasis on innovation solutions within the technology that is required for the Worlds energy system. Artificial Intelligence and Big Data. Also, IRENA produced a substantial main Innovation Landscape report. Behind-the-meter batteries.

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Social Networks and Big Data: the best strategy for getting to know your customers

mjvinnovation

This is because the volume of daily data produced in these virtual environments is a real gold mine for companies prepared to prospect for it. Keep reading to understand how you can benefit from the combination of Social Networks + Big Data. Social Networks: the gold mine of data. And Big Data is the tool for the job. ?

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The Automotive Industry’s Big Data Challenge (Part 1)

Corporate Innovation

In this two-part series, we will discuss the big data challenge facing the automotive industry. The pieces are the result of my work in the industry helping corporations with their innovation and big data strategies. Automakers must change their perspective. Automakers must become serious about big data .

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The Automotive Industry’s Big Data Challenge (Part 1)

Corporate Innovation

In this two-part series, we will discuss the big data challenge facing the automotive industry. The pieces are the result of my work in the industry helping corporations with their innovation and big data strategies. Automakers must change their perspective. Automakers must become serious about big data .

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4 Emerging Technologies Impacting Today’s Digital Transformation

Acuvate

ZDnet defines today’s digital transformation as , “using digital technologies to remake a process to become more efficient or effective. The idea is to use technology not just to replicate an existing service in a digital form, but to use technology to transform that service into something significantly better.”. 4 Big Data.

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So Where Is Innovation Heading?

Paul Hobcraft

We are in the middle of it, some of you may not have noticed its impact and change but it is significant on the understanding of innovation, in it’s future design. Often this era of change is not as well-recognized or being faced up to, as you would expect. It will fundamentally change the type of resources innovation requires.