Sponsored by: Deloitte | Generating Realistic, High-Fidelity Synthetic Financial Data on Databricks

Access to customer financial data is often slowed by privacy regulations, hindering innovation in risk management and personalization. Deloitte’s dual-model solution on the Databricks Platform generates high-fidelity synthetic data to overcome this challenge. It combines generative adversarial networks for structured data (demographics, creditworthiness) and LLMs for behavioral insights (price sensitivity), complete with an AI-automated quality review. This provides a safe foundation for developing models, testing risk algorithms, and simulating market strategies. This session demonstrates how this approach accelerates financial innovation while reducing compliance risk by replicating customer data utility without exposing sensitive information.