Predictive Decision Intelligence With Cortex Agents And Kumo AI’s Relational Foundation Model

Leading enterprises are moving beyond hindsight-driven Business Intelligence (BI) to Predictive Decision Intelligence, where insights and predictions are delivered in context at the moment decisions are made.

This session from BUILD 2025 demonstrates how Kumo AI’s Relational Foundation Model (RFM) brings native and instant predictive intelligence directly to your Snowflake data via the Snowflake Cortex Agent API. Unlike large language models designed for text, Kumo’s RFM is a foundation model purpose-built for predictive reasoning over relational data. It understands entities, relationships, and temporal dynamics within and across tables to deliver zero-shot predictions, without the need for feature engineering or model training.

In this session, we’ll show you how to build an Interactive Sales Decision Intelligence Agent, leveraging Snowflake Cortex Agent API, Snowflake Semantic Models, Langchain-Snowflake, and Kumo’s Relational Foundation Model (RFM). A Regional Sales Manager uses the agent to generate predictions that improve sales outcomes by identifying at-risk opportunities, uncovering key drivers of risk, and exploring AI-driven recommended actions, all through an intuitive natural language interface. The technology generalizes to intelligent agents across industries and use cases, empowering users at every level, from executives to frontline workers, to make predictive, data-driven decisions.

Join Joshua Przybylko, Head of Product at Kumo AI, to discover how organizations can evolve traditional BI into AI-powered Predictive Decision Intelligence, enabling every user to ask not just 'what happened' but 'what will happen', and 'why' with trusted, explainable predictions running directly within Snowflake.

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