From SQL Analytics to Predictive Decision Systems: Operationalizing ML Models in Business Operation

SQL analytics shows what happened, but modern businesses need to act on what will happen next. The real challenge isn’t building ML models, it’s operationalizing them. That means feature stores to prevent training-serving skew, scalable serving patterns (batch, real-time, streaming), and robust monitoring for drift and performance. Companies that win embed ML directly into decision workflows, closing the loop between prediction and action.