As healthcare and life sciences companies 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 they’re more open, resilient and cost-efficient. See how customers are partnering with Snowflake, leveraging connectors and tapping into the broader ecosystem to streamline data access. And hear directly from a customer on best practices for data ingestion and what that means for creating a holistic patient view.

As the volume and complexity of data continues to grow, many healthcare and life sciences companies are now prioritizing enterprise strategies where data is findable, accessible, interoperable and re-usable (FAIR). To meet these data principles, a company’s architecture matters. In this session, learn how organizations are partnering with Snowflake to build strong data foundations — underpinned by open standards, secure data sharing, and security and governance controls.

No other technology has captured the attention and imagination of the healthcare and life sciences industry as much as generative AI. But in 2025, many companies will face intense pressure to demonstrate tangible returns on their AI investments. In this session, hear how organizations are rethinking their AI strategies with a clearer focus on cautious experimentation and proof of AI ROI. And learn about how Snowflake’s AI capabilities are enabling customers to build both internal and commercial AI use cases.