Council Post: Past The AI Hype: When Is AI Actually Profitable?

Michael Kauffman is Principal and Chief Legal Officer at Tech DNA, a global leader in technology due diligence. Our company's experience is that when investors realize they lack the technical skills to evaluate ML/AI technology, they tend to throw in the towel and take a target's inflated claims at face value. The good news is that it only requires general business knowledge to assess one of ML/AI's main value drivers: profit proximity. Turns out, the main value of ML/AI comes from which type of business problems ML/AI is applied to. I'll cover a few categories here and explain how each differs in its proximity to profit, which is what really drives value.