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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. Innovation needs reinventing. There are new ways to capture, extract and deliver value.

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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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Boosting Innovation: Harnessing AI for New Product & Service Development

Leapfrogging

Here’s how AI interplays with different aspects of innovation management: Aspect of Innovation Management AI Integration Ideation AI can generate and evaluate new ideas by analyzing large datasets. Enhance cross-functional collaboration through shared insights and decision-making platforms.

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ChatGPT Workshop Course

InnovationTraining.org

We’ve been coaching professionals on using ChatGPT for their projects in their work. We’ve created a number of demonstration videos and even a short online ChatGPT AI innovation course. We will guide them through the learning and doing of innovating with ChaptGPT as a professional.

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Unleashing the Power of AI in Innovation Management

Leapfrogging

It consists of a series of phases (stages) where specific tasks are performed and milestones (gates) where decisions are made about whether to proceed to the next stage, halt, or redirect the project. However, with the advent of artificial intelligence in innovation management , these stages and gates are being reimagined.

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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.

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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.