SMBC, a major Japanese multinational financial services institution, has embarked on an initiative to build a GenAI-powered, modern and well-governed cloud data platform on Azure/Databricks. This initiative aims to build an enterprise data foundation encompassing loans, deposits, securities, derivatives, and other data domains. Its primary goals are: To decommission legacy data platforms and reduce data sprawl by migrating 20+ core banking systems to a multi-tenant Azure Databricks architecture To leverage Databrick’s delta-share capabilities to address SMBC’s unique global footprint and data sharing needs To govern data by design using Unity Catalog To achieve global adoption of the frameworks, accelerators, architecture and tool stack to support similar implementations across EMEA Deloitte and SMBC leveraged the Brickbuilder asset “Data as a Service for Banking” to accelerate this highly strategic transformation.

Today, executives are focused on managing regulatory scrutiny and emerging threats. Banks worldwide are leveraging the Databricks Data Intelligence Platform to enhance fraud prevention, ensure compliance and protect sensitive data while improving operational efficiency.This session will highlight how leading banks are implementing AI-driven risk management to identify vulnerabilities, streamline governance and enhance resilience. By utilizing unified data platforms, these institutions can effectively tackle threats and foster trust without hindering growth.Key takeaways: Fraud detection: Best practices for using machine learning to combat fraud Regulatory compliance: Insights on navigating complex regulations Secure operations: Strategies for scalable operations that protect assets and support growth Join us to see how data intelligence is reshaping the banking industry and enabling success in uncertain times!