Snowflake’s Head of AI/ML for Financial Services Jonathan Regenstein is hosting an outstanding event on building an enterprise AI strategy today at 12 pm CT. ✅ Design considerations unique to financial services ✅ Today’s LLM landscape, including Snowflake Arctic ✅ Impact GenAI use cases for financial services ✅ How you should expect the AI landscape to evolve Also featuring a live demo of Arctic, the LLM for enterprise intelligence, breakthrough efficiency and true openness — built by Snowflake AI. Register here:
The convergence of AI and financial services heralds a new era of innovation, reminiscent of historical shifts in technological adoption within the industry. As we delve into enterprise AI strategies, considering the complexities of regulatory compliance and data privacy alongside technological advancements is paramount. In light of evolving AI landscapes, how do you foresee the interplay between regulation and innovation shaping the adoption of advanced AI models like LLMs in financial services? Furthermore, with the emergence of Snowflake Arctic, how does it address the specific challenges of scalability and interpretability often encountered in deploying AI solutions within regulated industries?
Enterprise Account Executive, Snowflake
1mohttps://www.snowflake.com/en/data-cloud/arctic/