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The building out of the Composable Innovation Enterprise Framework.

Paul Hobcraft

I have called this the Composable Innovation Enterprise Framework – here is why and what went into this proposal that I feel should be adopted for managing innovation in the future. We need to shift our innovative thinking from static to dynamic.

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Recognizing the Building Blocks of Innovation

Paul Hobcraft

I finished my last post, “ Are we EVER going to embrace innovation? ” With the argument, we need to change the innovation narrative and significantly update the innovation approach and processes to meet today’s and tomorrow’s business challenges.

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The Final Perspective: A Composable Innovation Enterprise Framework

Paul Hobcraft

In my view any new approach to innovation needs to aim to achieve interdependent and interlocking innovation, solving problems that have not been addressed before and offering sustainable value, impact, and returns to all involved or significantly improving on the existing solutions. Nothing can work in isolation.

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Building the innovation stack

Paul Hobcraft

Developing the innovation stack takes the view that innovation is a series of building blocks stacked on top of each other with different layers to work through. Combining these “building blocks” modularly in innovation stacks creates a unique design that adapts to your specific needs and goals.

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Please, we need a different Innovation narrative

Paul Hobcraft

I have been struggling for quite some time with innovation’s increasing difficulties in influencing growth and achieving real impact. I see many comments on the failure of innovation, in its inability to be at the core of an organization’s ambitions for growing and changing. ” constrained them.

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Boosting Innovation: Harnessing AI for New Product & Service Development

Leapfrogging

The Intersection of AI and Innovation Management Defining Innovation Management with AI Innovation management refers to the process and activities that organizations use to manage and nurture new ideas into marketable products and services. It helps organizations to: Anticipate future trends and consumer demands.

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AI-Powered Design Thinking: Accelerating Innovation and Insights

Leapfrogging

It is a non-linear, iterative process that teams use to understand users, challenge assumptions, redefine problems, and create innovative solutions to prototype and test. AI complements human creativity, enabling teams to translate complex data into meaningful insights and innovative solutions.