Sankar Chidambaram

Trust in business decisions erode when reports, AI Agents, and operational systems provide different values for the same KPIs. The solution is a unified semantic fabric in which KPIs are managed as versioned, testable, and reusable assets—like software—implemented entirely within Databricks without added tooling overhead. Organizations no longer need hordes of data and semantic engineers, manually coding pipelines and maintaining definitions. With AI agents automating data transformations, semantic alignment, and business rule updates, organizations can reduce manual engineering effort, accelerate delivery, and lower operating costs while improving data trust. This session showcases how Southern Glazer's Wine & Spirits is implementing an AI-augmented approach to build their Metrics Bank and Semantic Layer in Databricks. You'll discover real-world results: reduced manual engineering effort, accelerated time-to-insight, and scaled decision-making capabilities across the enterprise.