When AI/ML model goes to production - it immediately starts to have its own life and meet the reality of the production-mess data streams. Without the proper monitoring - a big mess is just a matter of time, letting the algorithm take decisions on GIGO basis (Garbage-In-Garbage-Out). Looking at the traditional software/infrastructure KPIs will just dont do it. In this session, we'll share a few of the most important KPIs to monitor when you launch your AI/ML in a production environment.