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Innovation project or Innovation Capability?

Jeffrey Phillips

No, today I want to talk about the differences and problems when companies focus on innovation as a discrete project, versus what they really need, innovation as a competency or capability. Plus, innovation as a project demonstrates some investment in innovation but controls for cost and risk.

Project 209
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Scaling Innovation Training: How to Start, Maximize, and Scale Innovation Training

IdeaScale

Achieve bigger innovation results through helping others learn and develop their innovation and ideation skill for the first time. I’m always surprised at the number of organizations I speak with that tell me they don’t have any training programs for their employees. Most have never learned the basics of ideation.

Training 124
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Nominal Group Technique Training

InnovationTraining.org

Learn about this group problem-solving and solution generating approach. Learn more about the approach and its uses below in our short NGT training guide. Learn more about the approach and its uses below in our short NGT training guide. NGT has been applied to many different industries and project areas.

Groups 70
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Innovation thinking in Ecosystem and Generative AI design.

Paul Hobcraft

AI Initial Investigative Work: Before diving into full-scale AI generative thinking, preliminary research and development becomes necessary. This step may involve iterative processes of idea generation, refinement, evaluation, and real-life testing and prototyping. This needs to be purposefully built, compared and validated.

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Measuring Innovation Performance

Download this eBook to learn about the 5 basic principles that guide every successful innovation process. Why do only a third of the organizations worldwide have formal innovation metrics in place despite accepting that innovation is critical to survival?

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Where will Innovation Management Software go?

Paul Hobcraft

Increased integration with other business tools, such as project management and collaboration software. Greater use of artificial intelligence and machine learning to automate tasks and provide more intelligent recommendations. Some trends that are likely to continue include: Greater focus on user experience and ease of use.

Software 183
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Achieving an Ecosystem AI-driven innovation engagement process

Paul Hobcraft

AI Initial Investigative Work: Before diving into full-scale AI generative thinking, preliminary research and development becomes necessary. This step may involve iterative processes of idea generation, refinement, evaluation, and real-life testing and prototyping. This needs to be purposefully built, compared and validated.