Live from ODSC West (Open Data Science Conference), Amy Hodler of GraphGeeks chats with Wes Madrigal, Co-Founder and CEO of Kurve, to discuss the intersection of graph technology, metadata, and the future of AutoML.

Key Points:

• Solving the 80% Problem: Despite AI advancements, most effort still goes into data discovery. How to automate extracting metadata like foreign keys from data lakes to build a relationship graph.
• Graph-Based Computation: Wes describes a computational graph where tables are nodes and foreign keys are edges. This turns data preparation into a graph traversal problem, making it faster to roll up data to the right granularity.
• The Return of Facts: As GenAI matures, experts are realizing that text-to-SQL and agents fall short without a robust ground truth. Ontologies and relational metadata are seeing a resurgence as the essential facts AI needs to function.

More data and demo at https://kurve.ai/