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The Innovation-Driven Disruption of the Automotive Value Chain (Part 2)

Corporate Innovation

Companies in the automotive value chain are faced with a challenging future. Because of problems such as pollution, climate change and loss of productivity due to long commute times, consumer attitudes towards car ownership and use are changing. Despite their high R&D investments, automotive OEMs are not considered top innovators.

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The Innovation-Driven Disruption of the Automotive Value Chain (Part 2)

Corporate Innovation

Companies in the automotive value chain are faced with a challenging future. Because of problems such as pollution, climate change and loss of productivity due to long commute times, consumer attitudes towards car ownership and use are changing. Despite their high R&D investments, automotive OEMs are not considered top innovators.

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Key Innovation Issues for 2016 and Beyond

Integrative Innovation

Unpredictable environments : Inherently dynamic and unpredictable industries (such as technology, software, fashion or internet retailing) require experimentation without predefined goals, embedded in the operations, to increase variance. A well-suited way to govern this approach is to manage a portfolio of initiatives.

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Applications of Artificial Intelligence (AI) in business

hackerearth

Recent advances in AI have been helped by three factors: Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media. Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. Automotive industry. Manufacturing.