Graph Chat with Wes Madrigal, CEO & Co-Founder of Kurve

We weren’t sure: Before Amy Hodler and I first reached out to Wes Madrigal for a potential interview, there was a pause. Both of us had been in the graph tech space for a while, but neither of us had ever heard of the guy – was he gonna be relevant enough to our audience?

We reached out anyway, and when we finally shook hands with Wes in San Francisco, it turns out he had a mentorship connection with Paco Nathan. 🙄 (All graph edges lead back to Paco Nathan.) In that moment, we knew that not only would Wes’s ideas be interesting to graph tech folks, but it also wasn’t just gonna be recycled from the LPG marketing machine.

tl;dr: We were in for a treat.

As part of this ongoing Graph Chat video series, Amy Hodler from GraphGeeks interviewed Wes Madrigal, CEO & Co-Founder of Kurve, at ODSC West in San Francisco. Catch their discussion below!

Graph Chat Interview: Automating Data Discovery with Wes Madrigal

In this Graph Chat, Wes Madrigal and Amy Hodler discuss the intersection of graph technology, metadata, and the future of AutoML.

Some of the key points they covered:

• 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 about Kurve

Kurve is an AI-powered developer tool that automates data discovery, featuring engineering and interoperability management. Kurve’s patented technology rapidly accelerates the throughput and performance of AI and machine learning models.

Kurve’s AI and algorithms meet your data wherever it lives, running across your existing storage or compute infrastructure, and inferring meaning and enabling action from raw tabular data sources. Kurve infers a unified metadata ontology from structured data sources, learning relationships between datasets from the column level to the semantic level.

Need an IDE to help you be more productive with your graph analytics? Check out gdotv – a graph technology IDE with a no-fuss free trial – and level up your graph game today.

Subscribe for More Graph Chats

The Graph Chat video series by GraphGeeks aims to ask diverse leaders and practitioners about where the future of graph technology is headed. This and other episodes were sponsored by gdotv – the graph database IDE. Check out the full playlist of Graph Chats for more.

Special thanks to Amy Hodler (Studio Exec, Producer, On-Screen Talent), Denise Gosnell (Audio Engineer), David Hughes (Camera and Audio Support Wizard) and Bryce Merkl Sasaki (Cinematographer).

If you enjoyed this Graph Chat interview with Wes Madrigal, subscribe to the GraphGeeks YouTube channel for more great discussions with leaders across the graph technology space.