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Technology leads, innovation exploitation is lagging

Paul Hobcraft

Our innovation systems are lagging significantly behind. The whole discovery to final execution, is for most organizations still a very fragmented, often disconnected system. It is highly reliant on manual systems with people often disconnected from the real innovation engagement making decisions on inadequate data or insights.

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Recognizing the Building Blocks of Innovation

Paul Hobcraft

So this post reviews many great contributors to advancing innovation over the years. Then we moved into an era of technology-associated innovation These are building on a higher reliance on AI, Technology, and Digital approaches, connecting more to the customer and more collaborative across organizations.

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Automakers Must Partner Around Big Data

Corporate Innovation

Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience. Further imagine that I opt in to allow my automaker to access my calendar and my Uber data.

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Automakers Must Partner Around Big Data

Corporate Innovation

Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience. Further imagine that I opt in to allow my automaker to access my calendar and my Uber data.

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Automakers Must Partner Around Big Data

Corporate Innovation

Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience. Further imagine that I opt in to allow my automaker to access my calendar and my Uber data.

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Top 5 Myths About Data Analytics You Should Stop Believing

Acuvate

Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. If you are an organization set out to embrace data analytics, here’s a list of the top 5 myths you need to be aware of. Myth 1: Only large companies with big data need data analytics.

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Jumping to a fresh cycle of innovation design

Paul Hobcraft

We design the innovation system we need after we know what we are trying to achieve in the challenge or idea. We need to adapt our system thinking to the challenge identified, not the other way around, that of trying to fit them into a generically designed process. We “pull down” what is needed. It adjusts and you learn.

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