Data That Delivers: Automated Data Engineering & Analytics

In this session, we’ll explore how to wire AI features to real business impact—automating data ingestion, transformation, and analytics to deliver insights that matter. Learn how AI-assisted pipeline authoring and governance patterns (e.g., in Databricks or equivalent platforms) can produce reliable, cost-aware analytics. We’ll demonstrate how these pipelines culminate in KPI-driven dashboards that inform strategic roadmaps and set the stage for future ML and agent-based innovation.

Who Should Attend:

• CIOs/CTOs

  : Discover how to make AI investments auditable and outcome-visible by tying features directly to KPIs.

• Engineering Leaders

  : Learn to build governed, observable pipelines that scale efficiently and cost-effectively.

• Individual Contributors

  : Get hands-on recipes for medallion-style flows, permissioning, and automated quality checks.