Understanding AI In Our AI Brain Trust Leadership Series
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 blog yesterday discussed three key basic concepts to answer: what is AI?, what is an algorithm?, and what is an AI Model? I will continue in the next two blogs to define other key AI concepts and definitions that I believe every CEO or board director must master at the basic AI proficiency levels. After all, how can you lead if you don’t know your basics in one of the most significant disruptors of our lifetime. If you want a good starter on the responsibility and duty of care of C suite leadership on AI, I recommend you read my earlier blog here.
In the Brain Trust Series, I have identified over 50 skills required to help evolve talent in organizations committed to advancing AI literacy. The last few blogs have been discussing the technical skills relevancy. To see the full AI Brain Trust Framework introduced in the first blog, reference here.
We are currently focused on the technical skills in the AI Brain Trust Framework advancing the key AI and machine learning terms.