Here are some simple observations: setting up an ML stack/pipeline is incredibly hard, setting up a production ML stack/pipeline is even harder, and setting up an ML stack/pipeline that works across multi-cloud environments is a full-on headache. That’s not just the...
The double whammy when it comes to ML in an enterprise
Observations on the drivers of success and failure Imagine you’re about to have heart surgery. Your surgeon drives to your house, bathes you, drives you to the hospital, preps you for surgery, administers anesthesia, performs the surgery, moves you to the...