If you’re a data scientist or you work with machine learning (ML) models, you have tools to label data, technology environments to train models, and a fundamental understanding of MLops and modelops.

Too often, AI vendors tell us - "Machine learning handles that." So what exactly does that mean? Vendors are making what I call Deux es Machina claims about AI - now it's time to back those claims up.

Nobody is going to invest in a technology that they don’t fully get. Helping them understand how and why it works will encourage adoption. It’s hard to get stakeholders to buy into technology they don ...