Srikumar Kanthadai

As T.Rowe Price grew its $1.78 trillion asset management business with new solutions, partners and enhanced digital + AI capabilities, the legacy master data management (MDM) became a bottleneck. The “trust and latency” gap eroded confidence from business and executives while it increased TCO due to complex ETL pipelines, manual rework and unmanageable technical debt. In this session, T.Rowe Price will share their data product strategy vision and journey of migrating legacy MDM into a cloud-native “Party Master 360” using Semarchy on Snowflake.

Leading financial institutions are already deploying AI to drive measurable ROI. This curated collection showcases the most impactful AI stories currently in production across the industry. Explore how your peers are moving from pilot to scale, leveraging the Snowflake AI Data Cloud to solve complex challenges in risk, customer experience and employee efficiency.

Generative AI observability holds the potential to transform enterprise data teams. In this session, deep dive into the architecture, benefits and challenges of T. Rowe Price’s gen AI use cases for data discovery and data supply chain innovation — resulting in 50% increased efficiency. Learn how the key components of gen AI observability, including observability into unstructured data, vector databases, LLMs and the AI data stack accelerate data quality management.

For financial services organizations, mainframe modernization provides significant value focused on improved agility, enhanced customer experiences, and cost savings. To accelerate this process, T.