AI is not perfect, and it is not a silver bullet for your business problems. In this video, I break down the four main types of AI: generative, predictive, computer vision, and automation, and explain where they fail without proper data, testing, and human oversight.

You will learn why 85 percent of AI failures are caused by bad data and how to protect your organization from becoming another statistic. I share four steps every business should take before diving into AI: define your problem, audit your data, test small before scaling, and demand transparency from vendors.

AI will not fix bad systems or bad leadership. It will only make bad happen faster.