Above all other sectors, financial services is at the cusp of industry-wide transformation with AI as the technological driving force. However, for most organizations, there are many questions and even more unknowns, especially as teams assess which LLMs to adopt and which use cases to prioritize. Many are also reviewing whether their technology and data estate is architected to support AI as cost, security and accuracy remain top of mind.
In this webinar, join Snowflake as we share the design considerations being adopted by industry-leading organizations as they build out their enterprise AI strategy. Learn how teams are preparing their data to be AI-ready by leveraging AI to modernize their data foundations — from data ingest, transformation and governance through to data analysis and collaboration. And hear about the key use cases that are prioritized as teams shift away from proof of concepts and the art of the possible to real, tangible implementations.
Additional takeaways will include:
- How to build a secure, future-proof AI strategy with an architecture that supports best-of-breed LLMs
- How AI can automate or augment front-to-back office workflows, from portfolio analytics to risk management and regulatory reporting
- How to build RAG capabilities to enhance team efficiencies and enable faster decision-making
- How to ensure security and governance when implementing AI
Speakers
Rinesh Patel
Global Head of Financial Services
Snowflake
Bharat Mabbu
General Manager, Generative AI
Clearwater Analytics
Jonathan Regenstein
Head of Financial Services AI
Snowflake