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Fusing Human and Technology to Enable Innovation Ecosystems to Thrive

Paul Hobcraft

. “Fusing” human engagement with technology enablement involves creating a harmonious integration of human collaboration and technological tools to enable an ecosystem’s successful development and operation. You need those things before technology can add any value. Is that possible?

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Energy technology needs more rapid innovation cycles

Paul Hobcraft

I have been consuming the latest flagship report, released today, 10th September 2020, by the IEA called “ Energy Technology Perspectives 2020. To cover the whole energy system what we have been identified today in technology options will multiply, adapt, change, and build out different solutions as we continue to learn and advance.

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We are falling badly behind on our invention in technology for the Energy Transition

Paul Hobcraft

So let me get back to what this post is about, providing critical reference points on technologies we need to improve and innovate. One really rich reference site is the Internation Energy Agency , the IEA who provide some incredible, in-depth knowledge for “Shaping a secure and sustainable energy future for all.”

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We are falling badly behind on our invention in technology for the Energy Transition

Paul Hobcraft

So let me get back to what this post is about, providing critical reference points on technologies we need to improve and innovate. One really rich reference site is the Internation Energy Agency , the IEA who provide some incredible, in-depth knowledge for “Shaping a secure and sustainable energy future for all.”

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Unleashing the Power of AI in Innovation Management

Leapfrogging

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.

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The Future of Design Thinking: Embracing AI Tools for Success

Leapfrogging

As a methodology, it is open to adopting new tools and technologies that enhance the process, including the integration of artificial intelligence in design thinking. What AI Brings to the Table AI contributes significantly to design thinking by offering advanced data analysis, pattern recognition, and predictive modeling capabilities.

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Embracing the Future: Fractional Executives and Generative AI

Tullio Siragusa

Generative AI refers to algorithms that can learn from data and generate original content, be it text, code, or strategic plans. Here are specific examples of how these technologies can be applied: Strategic Planning and Decision Making AI algorithms can analyze vast amounts of data to identify trends, opportunities, and threats.