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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.

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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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Digital Transformation Use Cases in the Oil and Gas Industry

Acuvate

Thus, building a culture of innovation that supports technological disruption is challenging to achieve. Leveraging AI, Big Data, IoT, and Analytics to boost data-driven decision-making. A significant amount of this data gets siloed within different geographies, business lines, and single-operating units.