Agile Generative AI System Technical Review 
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. At these gates, decision-makers review progress and determine the feasibility of moving forward to the next stage.
ImagineNation
OCTOBER 7, 2023
Moving into unchartered job and skills territory We don’t yet know what exact technological, or soft skills, new occupations, or jobs will be required in this fast-moving transformation, or how we might further advance generative AI, digitization, and automation.
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Paul Hobcraft
OCTOBER 2, 2023
Exploring the interplay between Humans, Technology and AI for design thinking Why is design thinking regarded as so crucial to the future of innovation in a world of accelerating interplays between humans, technology and generative AI?
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.
Leapfrogging
MARCH 19, 2024
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. AI technologies include machine learning, natural language processing, robotics, and computer vision.
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. It helps organizations to: Anticipate future trends and consumer demands.
Leapfrogging
FEBRUARY 28, 2024
Businesses that innovate can respond to shifts in consumer behavior, leverage emerging technologies, and enter new markets with agility. The integration of AI amplifies these capabilities by improving design thinking with AI , thus accelerating the innovation process.
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