Why Physics has Relevancy To Artificial Intelligence And Building AI Leadership Brain Trust?

This blog is a continuation of the Building AI Leadership Brain Trust Blog Series which targets board directors and CEO's to accelerate their duty of care to develop stronger skills and competencies in AI in order to ensure their AI programs achieve sustaining results. My last two blogs introduced value of science and stressed its importance to AI, and focused on the importance of AI professionals having some foundation in computing science as a cornerstone for designing and developing AI models and production processes, as well as the richness of complexity sciences and appreciating that integrating diverse disciplines into complex AI programs is key for successful returns on investments (ROI). This blog introduces the importance of physics and explores its relationship to AI as often I see AI solutioning teams missing physics skills in the solutioning constructs - which I believe is a strategic mistake for many complex AI programs. Its important for C levels to understand that AI is not a singular discipline it requires many other skills to get the solution architecture right. So deeply understand the business problem in front of you - and the more complex the problem is the increased value physicists will have in guiding you forward.