Sriram Nagarajan

M&T Bank, a leading U.S. financial services institution, has launched an initiative to establish a well-governed data science workbench on Databricks, forming the foundation for its next-gen data science and ML platform within the bank. The program is centered on: (1) building the core platform capabilities and migrating key Treasury & Financial models to Databricks, (2) accelerating innovation by using AI, enabling faster model development and streamlined deployment, (3) standing up a well-governed framework to manage the end-to-end model lifecycle and MLOps processes, and (4) future-proofing the organization with Databricks ML The overarching goal is to setup next-gen ML across the bank—supporting priority regulatory and growth use cases while supporting transition from legacy ML platform. Deloitte is M&T’s strategic implementation partner, leveraging its Brickbuilder agentic AI–enabled asset, “Data Assist,” to reverse engineer legacy platform and forward engineer into Databricks.