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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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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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The planning out of this Composable Innovation Enterprise Framework

Paul Hobcraft

The potential returns, including increased agility, improved innovation outcomes, enhanced collaboration, and long-term competitiveness, make this radical change worthwhile for organizations aspiring to thrive in today’s dynamic business environment. You need a systematic approach and project staging plan.

Agile 130
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Embrace AI-driven innovation, it is the future.

Paul Hobcraft

For me, the last six months or so I have been spending increasing time working with ChatGPT to gain different ways to look at focus areas I spend in advising and mentoring and where innovation links into my different work. The deployment of AI-driven thinking utterly alters my perspective of “delivering” innovation.

ChatGPT 182
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What to innovate now

Jeffrey Phillips

From new medical devices to new banking products, to new consumer appliances and more, I've worked on a number of innovation projects in a wide range of industries. Over time, as innovation has matured somewhat, many innovation consultants began to reference Doblin's Ten Types model.

Agile 261
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Boosting Innovation: Harnessing AI for New Product & Service Development

Leapfrogging

It is not just an enabler but a catalyst for innovation that can significantly shorten the time-to-market for new products and services. AI systems are adept at sifting through vast amounts of data to uncover insights that can inform every stage of the development process, from ideation to launch.

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Focusing on the Learning Components of the Composable Innovation Framework

Paul Hobcraft

Communal: Understanding and informing through social interactions, attributing, designing, adapting, projecting future value and impact, coherence with existing systems, identifying changes and their implications, and using metaphors for identification. To achieve any validation we need to capture the learning process.

Learning 130