I was at a non tech company 7 years ago where we were generating article summaries and performing image recognition. We had some at least one org applying speec

I was at a non tech company 7 years ago where we were generating article summaries and performing image recognition. We had some at least one org applying speech to text for a business use case. I’m not saying there hasn’t been innovation in the past 5 years — absolutely there has. In that industry, 2013-2016 were peak “ML” and “Cloud” where the CIOs at my company and competitors were fully bought into the ML and cloud hype, how it was going to solve all kinds of problems, without understanding what those problems were, and without realizing the complexity of getting meaningful, applicable data for those problems. In the past few years, it feels like more people realized that ML is less mathematical magic and more of different “kinds” of curve fitting.