Open Source in Finance Forum London 2024

To successfully extract value from data, firms need to make sure they not only have the right financial domain knowledge, the right quantity, and quality of financial data but also a reliable data infrastructure and ML-oriented pipelines orchestrated by MLOps. With a proper MLOps strategy, domain knowledge teams can collaborate closely, properly test models, quickly respond to new data sources, and train and re-train ML models at scale while remaining compliant.