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Innovation on Steroids: Next Generation AI-Powered Phases and Gates

Leapfrogging

From its inception to the current state, the processes governing the development of new products and services have continuously evolved to incorporate new methodologies and technologies. Traditional Phases and Gates Processes Traditionally, the phases and gates model has been a cornerstone in structuring innovation management.

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Digital technology is changing the innovation ‘game’

Paul Hobcraft

This ‘knowledge is becoming out of date before we can learn from it and sometimes highly dangerous to follow or believe in some rapidly changing times. We need to change our thinking and design in the digital insight part more specifically within and along the innovation process.

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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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Innovation thinking in Ecosystem and Generative AI design.

Paul Hobcraft

Innovation thinking in Ecosystem and Gen AI design I believe there is a real need to construct a different innovation process. We are rapidly seeing the past of innovating simply in terms of operating on our own. Adopting ecosystem thinking combined with Generative AI will augment, automate and rapidly scale innovation.

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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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Unleashing the Power of AI in Innovation Management

Leapfrogging

However, with the advent of artificial intelligence in innovation management , these stages and gates are being reimagined. AI technologies offer unprecedented capabilities in data analysis, pattern recognition, and predictive modeling, which can significantly enhance the efficacy of the Stages and Gates process.

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AI-Powered Design Thinking: Accelerating Innovation and Insights

Leapfrogging

It drives growth, differentiation, and value creation, allowing companies to stay ahead in a rapidly changing market. Businesses that innovate can respond to shifts in consumer behavior, leverage emerging technologies, and enter new markets with agility.