KPMG at the Databricks Data + AI Summit 2026

Speakers: Mohana Gudepu, Director, Innovation and Enablement

Finance teams often identify insights but lack streamlined ways to operationalize them. In this demo-driven session, KPMG demonstrates how Engagement Management Coordinators (EMCs) within the Finance organization close the insight-to-action gap using Databricks AI/BI Genie, Databricks Apps and Databricks One. EMCs use conversational analytics to evaluate engagement performance and financial risk across scenarios, while Databricks Apps embed those insights directly into workflows such as forecasting revisions and exception handling. Databricks One provides a consistent business-facing entry point supported by Unity Catalog governance. The session shares adoption strategies, governance considerations, and lessons learned from enabling finance teams to move from analysis to action through guided demonstrations.

Speakers: Fabiana Clemente, Distinguished Engineer 

Synthetic data + AI agents is very hot for Databricks right now. The objective of the talk is to propose exploring the idea of synthetic Lakehouse designed specifically for AI agents rather than traditional approach to data collection. The motivation is that teams want to build and evaluate agents over conversations, documents, tickets, and knowledge bases, but real enterprise data is often sensitive or regulated, which blocks experimentation and validation. We will show how synthetic data can be used as a safe, realistic test to develop and evaluate production grade AI agents. We will explore how to design agent-ready synthetic data and why a synthetic Lakehouse is a practical foundation for testing agents even before touching real data.

Speakers: Bindu Birur, Head of Data Eng & Analytics Delivery

As organizations accelerate their AI and data strategies, traditional data engineering faces growing challenges around scale, complexity, and the need for real-time insights. This session will explore how Agentic AI, powered by Databricks Agent Bricks, is redefining modern data engineering through autonomous, goal-driven agents that streamline data ingestion, transformation, quality management, and orchestration across the data lifecycle. You’ll learn how Agent Bricks activates intelligent agents within the Databricks ecosystem to automate complex data workflows, strengthen governance, and accelerate the delivery of trusted, AI-ready data products at enterprise scale.

Speakers: Grant Jackson, Director of Innovation, KPMG UK

What does it take to turn a complex audit estate into an AI‑ready lakehouse in months, enabling auditors to move faster without losing trust? KPMG migrated nearly 400 SQL Server scripts into Databricks SQL in three months using lakehouse patterns, Lakebridge, and AI‑assisted refactoring — cutting manual effort while maintaining audit‑grade governance, lineage and performance. This session unpacks the blueprint: unified governance on Delta, SQL Serverless to handle extreme peak‑season demand and secure cross‑entity data access built for regulated environments. A focused enablement program onboarded 200+ users rapidly, embedding modern engineering practices and an AI‑first mindset. Finally, we’ll explore how this platform now powers AI/BI Genie and Lakeflow Designer, putting governed natural‑language and low‑code analytics directly into the hands of citizen analysts and front‑line auditors.