The Importance of Risk Management in Data Engineering

A lot of breakages in ML systems come from pipeline issues. API mismatches on the front end and then the data stuff on the back end. And also, I guess, increasing awareness that if you do it early on, so if you kind of adopt kind of a much more risk management by design mindsetEarly on there's a lot of benefits to that.