#354 Beyond BI: Decision Intelligence with Graphs with Jamie Hutton, CTO at Quantexa

In this episode of DataFramed, host Richie engages with Jamie Hutton, CTO of Quantexa, to explore the emerging field of Decision Intelligence (DI) and how graph-based technologies are transforming how organizations make decisions. Hutton explains that DI goes beyond traditional data-driven decision making by incorporating rich contextual relationships between entities—people, businesses, and data points—using entity resolution and graph analytics to create a 'single view of the truth.' This enables better risk detection, fraud prevention, compliance, and business growth opportunities. The conversation highlights how Quantexa’s platform tackles messy, low-quality, and intentionally manipulated data by leveraging graph-based context to improve decision accuracy, even doubling model performance in some cases. A key innovation is 'graph RAG,' which enhances LLMs by grounding them in a structured knowledge graph, significantly reducing hallucinations and improving explainability—critical for regulated industries. Hutton emphasizes that decision intelligence isn’t a one-size-fits-all solution but a layered approach: start with entity resolution, build context graphs, and then apply analytical models and AI. The platform can be deployed as a horizontal context engine or as a vertical solution for specific use cases like fraud detection or customer acquisition. Crucially, Hutton argues that organizations don’t need perfect data to begin—value can be extracted from existing data quality, while the platform itself can identify and help remediate data issues. The episode concludes with forward-looking insights on AI’s role in leveling up teams through codified best practices, agents, and processes that make elite performance accessible to all.