As financial services organizations look to adopt new technologies like generative AI, the ability to ingest, transform, and apply both structured and unstructured data becomes critical. In this session, learn how organizations are architecting data pipelines so that they’re more open, resilient and cost-efficient. And hear directly from a customer on best practices and what their build with Snowflake means for their business.

For many financial services organizations, legacy technologies create challenges around how data is accessed, leveraged, and shared both internally across the enterprise, and externally with the ecosystem of customers and partners. In this session, learn how many are partnering with Snowflake and the broader ecosystem to simplify their data foundations, enhance their security and governance controls, and what it means for their business.

No other technology has captured the attention and imagination of the Financial Services industry as much as generative AI. But in 2025, financial institutions will face intense pressure to demonstrate tangible returns on their AI investments. The era of unchecked AI spending will come to a close, as boards and investors demand clear evidence of value.

In this session, hear how organizations are re-thinking their AI strategies with a clearer focus on AI ROI. And learn about how Snowflake’s AI capabilities are enabling customers to build both internal and commercial AI use cases.