Creativity Generative AI Innovation Processes Learning 
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.
Leapfrogging
MARCH 19, 2024
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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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.
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 static to dynamic : Innovation visualizations used to be static, where organizations used charts, diagrams, or models to represent the current state of their innovation processes or outcomes. Innovation foresight is the use of methods and tools to anticipate and shape the future of innovation 2.
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.
Leapfrogging
MARCH 19, 2024
AI technologies are enabling a more data-driven approach to innovation management, enhancing the ability to predict trends, understand consumer behavior, and generate creative ideas at scale. Enhance cross-functional collaboration through shared insights and decision-making platforms.
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