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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. There is much less conversation about the fifth dimension.

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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. There is much less conversation about the fifth dimension.

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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. There is much less conversation about the fifth dimension.

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Winners of Nokia’s 2016 Open Innovation Challenge Announced

IdeaConnection

A big round of applause is due to the winners of Nokia’s 2016 Open Innovation Challenge, a global search for the next big ideas in the Internet of Things (IoT). Third prize was awarded to Mobagel for their Decanter(TM) Big Data AI engine. Next Steps .

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10 Technology Driven Hard Trends Shaping 2016

Daniel Burrus

A rapidly increasing number of companies are learning the importance of identifying Hard Trends that are both predictable and measurable. Doubters only need to look at the warning signs learned from Slack that became the fastest-growing workplace software ever this year and, for the most part, this was achieved under IT’s radar.

Trends 40
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Key Innovation Issues for 2016 and Beyond

Integrative Innovation

In the course of this first month of 2016, I was asked a couple of times what my prospects are for the year ahead when it comes to key innovtion issues. In the first place, experimentation is about testing assumptions and hypotheses by means of a scientific learning approach. Interactions are complex and unpredictable.

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Key Issues in Innovation Management – Revisited – Part 2

Tim Kastelle

It will become a hotbed for innovation in 2016 and the coming years. We would expect to see the most intensive innovation focus in big data, given all the attention that has been devoted to the ability of digital data and advanced analytics to generate new products, markets, and revenue streams.