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Key Issues in Innovation Management – Revisited – Part 2

Tim Kastelle

In part 1 of this post , Ralph revisited key innovation issues that were already addressed by us three years ago. It doesn’t always translate to managers, however. Co-Innovation and startup engagement. Most companies are not targeting mobile products and capabilities in their innovation efforts.

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Key Issues in Innovation Management – Revisited – Part 1

Tim Kastelle

At the beginning of 2013, Tim Kastelle and I identified four key issues in innovation management for the time to come. Let’s have a brief look at each of them: Differentiating and integrative innovation concepts. Adapted from: https://nbry.wordpress.com/2014/06/27/massive-platforms-for-cocreation-the-new-normal-22/.

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Why we should focus on Innovation Governance

Paul Hobcraft

-You always face many unknowns and uncertainties within innovation as it is about discovery, exploration and figuring out something that is different and exciting as it builds on what we have got or know. I do recommend a really excellent book, brought out in 2014 that provides a really detailed look at Innovation Governance.

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AI Has Taken the Boardroom by Storm. Here’s What You Must Know.

Planview

Founded in 2014, ANT was built on modern digital operating policies and technologies. Similarly, the AI Factory leverages data, people, process, product, and platform to provide AI solutions for business at speed. Today’s generative AI is built on LLMs that leverage the vast amounts of data available on the web.

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The Case for Dual Innovation

Tim Kastelle

Let’s sum up some relevant findings of these studies, making the case for dual innovation management: BCG: Most Innovative Companies 2014 . This trend is even more pronounced among strong innovators, with those pursuing a centralized approach rising from 68 percent in 2013 to 71 percent in 2014.

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Innovation by numbers: Lessons to learn from the CIA and Netflix

Innovation 360 Group

This caught our attention, and we started to experiment with this software and grounded theory, in order to analyze the huge amount of data that we were collecting as part of a highly complex assignment. Using these tools, we were able to draw out from the massive amount of data some really good hypotheses.

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Companies betting big on open innovation

hackerearth

The collaboration for data-driven products is expected to deliver over one billion euros in annual client benefits by 2022. Deloitte uses its expertise in various industries to connect the dots between innovative technologies or approaches and companies.