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Will big data solve the innovation gap?

Jeffrey Phillips

The gap is real, and it means that many companies aren't as profitable or as competitive as they'd like to be. Lately, with the advent of "big data", machine learning and other factors associated with data and more intelligent processes, the argument has been made that these capabilities will solve the innovation gap.

Big Data 170
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Innovation and AI – A Killer Combination?

Destination Innovation

Now big data and artifical intelligence (AI) have changed the playing field. There are now software products which can scour diverse data to find promising starting points for your innovation goals. The process has been described as genetic programming. Innovations often come from seemingly random combinations.

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Real Management Applications of Big Data

InnovationManagement

Big Data has had a big impact on the competitive landscape. Wise management of time is very critical in staying ahead of the competition. Here is an analysis of some of the real management applications of Big Data:

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Infoxication: Why Big Data is the solution

mjvinnovation

Here, let’s reflect on Infoxication at the business level, which has to do with the concept of Big Data, as we will see throughout this article. Find out how your business can take advantage of this phenomenon and how to deal with Big Data in a profitable way and more! As you saw, the problem is a given.

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How Does your Business Stand to Benefit from Big Data?

InnovationManagement

Big data is becoming increasingly vital to business scaling and competition.

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The Automotive Industry’s Big Data Challenge (Part 2)

Corporate Innovation

In this first part of this two-part series, I discussed why the automotive industry, particularly the incumbent OEMs, is facing a big data challenge. To do so, automakers must: Think strategically and own the big data strategy. Establish and enforce data ownership rights among the appropriate constituencies.

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The Automotive Industry’s Big Data Challenge (Part 2)

Corporate Innovation

In this first part of this two-part series, I discussed why the automotive industry, particularly the incumbent OEMs, is facing a big data challenge. To do so, automakers must: Think strategically and own the big data strategy. Establish and enforce data ownership rights among the appropriate constituencies.