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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. Many tools, techniques, frameworks, mechanics, and emerging methodologies have allowed different parts of the innovation process to be explored and exploited. The need today is not to dispense with this but to link it fully up.

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Building the innovation stack

Paul Hobcraft

Combining these “building blocks” modularly in innovation stacks creates a unique design that adapts to your specific needs and goals. Today, innovation processes are partly designed this way but are more rigid and hold knowledge often as “islands” within a possible solution.

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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.

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Industry 4.0

eZassi

across an organization As an Innovation Management solution provider, Ezassi helps manufacturers initiate the innovation process by identifying specific Industry 4.0 We then help evaluate, facilitate, and incentivize the key ideas formed by your solver ecosystem as part of the overall innovation process.

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Measuring Innovation Performance

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

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The Future of Design Thinking: Embracing AI Tools for Success

Leapfrogging

Ideate : Generating a range of possible solutions. Adapting to the use of AI not only enhances creativity and productivity but also leads to more informed decision-making and ultimately, better outcomes in new product development, service innovation, and business strategy. Ideate AI models suggest a diverse set of potential solutions.

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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. Defining Design Thinking Design thinking involves five key stages: empathize, define, ideate, prototype, and test.