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Daniel Burrus’ Top 20 Tech-Driven Hard Trends Shaping 2017

Daniel Burrus

Artificial Intelligence (AI), Advanced Machine Learning and Cognitive Computing Applications. Advances in Machine Learning and AI, such as IBM’s Watson, coupled with networked intelligent sensors, will create a giant leap forward thanks to exponential advances in computing power, digital storage, and bandwidth.

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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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article thumbnail

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.

article thumbnail

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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Daniel Burrus’ Top 20 Technology-Driven Hard Trends Shaping 2018 and Beyond

Daniel Burrus

1 Artificial Intelligence (AI), Advanced Machine Learning and Cognitive Computing Applications. Business, government and education have moved cybersecurity from an underfunded back-office activity to a major initiative going forward. 3 Big Data and the Use of High-Speed Data Analytics.

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