Using Genie to Speed Traditional Machine Learning Tasks

Machine learning on Databricks is becoming accessible to every role — from business analysts who have never written code to seasoned data scientists building production pipelines. This session introduces two complementary capabilities that democratize both the consumption and authoring of ML workloads.Genie for ML brings predictions directly to non-technical users. The agent understands user intent, recognizes when a question calls for ML — forecasting, classification, anomaly detection, regression — and delegates to optimized SQL ML functions behind the scenes. No Python, no notebooks, no training. Genie Code for ML targets the other side: technical users building those workflows, acting as an expert ML copilot that guides even junior data scientists through complex end-to-end ML journeys.Walk away with the patterns to make ML accessible across your organization — without sacrificing the depth experts need.