Collaboration Generative AI Innovation Processes Technology 
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. Innovation needs reinventing. There are new ways to capture, extract and deliver value.
Paul Hobcraft
MARCH 20, 2024
Combining Ecosystems, technology and GenAI to unlock innovation The concepts of ecosystem innovation and generative AI has arrived at the point where we need to question workflows have the real poential openness has become central to our process of thinking and development building.
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Paul Hobcraft
NOVEMBER 10, 2023
In a really fascinating routine or guide to how Generative AI developed, then you should read Bernard Marr’s post It is well worth the read. As he points out, “Today, Generative AI stands as a testament to the power of human imagination and technological innovation.
Paul Hobcraft
SEPTEMBER 25, 2023
From linear to systemic : Innovation used to be seen as a linear process where ideas were generated, tested, and implemented in a sequential manner. Today, innovation is recognized as a systemic phenomenon, where multiple actors interact and collaborate across different domains and levels 1.
Ecosystems4Innovating
NOVEMBER 23, 2023
Innovation needs reinventing. Adopting ecosystem thinking combined with Generative AI will augment, automate and rapidly scale innovation. For me, ecosystem innovation and generative AI have arrived at that pivotal point to significantly influence future innovation design.
Leapfrogging
MARCH 19, 2024
The Intersection of AI and Innovation Management Defining Innovation Management with AI Innovation management refers to the process and activities that organizations use to manage and nurture new ideas into marketable products and services. Tailor products and services to specific market segments.
Leapfrogging
MARCH 19, 2024
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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