It has been amazing how AI generative thinking (GenAI) has taken hold. It has only been one year since the launch of ChatGPT, then with a follow-up of GPT-4. 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. It has grown from humble beginnings into a sophisticated technology capable of producing remarkable output.”
As Barnard Marr opens his post “Generative AI has the unique ability to create. It can generate new content like audio, art, and text, all by learning from a set of data without explicit instructions.” I feel “explicit instructions” need to be carefully managed.
For me, the last six months or so I have been working with ChatGPT to learn different ways to look at focus areas I spend in advising and mentoring and where innovation links into my different work.
This is rethinking the innovation process, how ecosystem thinking and design can shape our collaborative worlds differently, looking much harder at innovation ecosystems and applying different triggers of thought in how AI generative thinking will influence and shape much of the Energy Transition, as my endpoints.
Recently, I have been looking specifically at the way the (traditional) innovation management process will change. The deployment of AI-driven thinking utterly alters my perspective of “delivering” innovation.
Continue reading “Embrace AI-driven innovation, it is the future.”
