Agile ChatGPT Innovation Processes 
Paul Hobcraft
OCTOBER 24, 2024
Pitching the reasons to change to Innovation Ecosystems in thinking and design So after working through the values of the Innovation Ecosystem over a series of three posts I asked Chat GPT to help me in making a pitch for the change from existing internal orientated innovation processes and structures.
Paul Hobcraft
NOVEMBER 10, 2023
Embrace the future if AI-driven innovation. It has only been one year since the launch of ChatGPT, then with a follow-up of GPT-4. As he points out, “Today, Generative AI stands as a testament to the power of human imagination and technological innovation. .”
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Paul Hobcraft
OCTOBER 21, 2024
Crowdsourcing and Co-creation : Encourage the use of crowdsourcing and co-creation models where end-users, customers, and the broader community contribute to the innovation process. This can enhance the relevance and impact of the innovations developed. supported by Chat GPT in constructing this.
Paul Hobcraft
NOVEMBER 21, 2023
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. Earlier this year, I proposed a different framework for the innovation process and thinking.
Ecosystems4Innovating
OCTOBER 17, 2023
Co-creation : This component focuses on how innovation ecosystems involve multiple actors in the process of creating and developing new products, services, or solutions. Various methods, such as design thinking, agile development, user feedback, and prototyping, can support co-creation.
Paul Hobcraft
DECEMBER 1, 2023
Other cognitive abilities, such as critical thinking, creativity, problem-solving skills, and the ability to connect disparate ideas, also play significant roles in the innovative process. Furthermore, innovation is influenced by various external factors, including social, cultural, economic, and technological contexts.
Planview
JUNE 6, 2024
More than a year after the unveiling of ChatGPT, enterprises are cautiously introducing large language model-driven applications for a multitude of once-miraculous tasks. The first question that many businesses face is whether to build their own generative AI (GenAI) solutions or purchase off-the-shelf applications.
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