Arnav Khare

Financial institutions face stringent regulatory requirements for operational resilience, demanding reliable disaster recovery with tight RTO/RPO targets across complex application portfolios. Yet failover procedures often remain manual and prone to error under pressure.

Quantitative researchers have a choice between closed frontier models accessed as a service, open-weight models they can host and modify themselves, and smaller specialized models built for particular tasks. Benchmark scores are only part of that decision.

Analyzing complex datasets can be time-consuming and resource intensive. In this workshop, learn how to move from analysis to action faster and with minimal manual effort.

Financial institutions interact with a large volume of complex documents every day. But deriving accurate insights from annual reports, regulatory filings, insurance policies, and loan applications is a largely manual and time-consuming effort.