Andrew Zubac

Geopolitical disruption does not stay contained. It ripples through trade routes, commodity flows, supplier networks and market expectations, often creating signals before the full impact is obvious. In this session, we show how connected S&P Global data on Snowflake, queryable with AI, helps teams trace those effects from the physical world to financial markets more quickly. See how connected shipping and cargo data can reveal stress building across critical trade routes, and how supplier momentum can help anticipate downstream pressure on companies and markets. We also demo how Snowflake enables efficient processing of large supply chain data sets at scale.