# Kumo AI & Relational Deep Learning | Data Brew | Episode 34

Page: https://stenobird.com/podcast/data-brew-by-databricks/kumo-ai-relational-deep-learning-data-brew-episode-34
Text version: https://stenobird.com/podcast/data-brew-by-databricks/kumo-ai-relational-deep-learning-data-brew-episode-34.md
Podcast: [Data Brew by Databricks](https://stenobird.com/podcast/data-brew-by-databricks)
Published: 2024-10-14T16:00:00+00:00
Episode link: https://www.buzzsprout.com/1370119/episodes/15897509-kumo-ai-relational-deep-learning-data-brew-episode-34.mp3
Audio file: https://www.buzzsprout.com/1370119/episodes/15897509-kumo-ai-relational-deep-learning-data-brew-episode-34.mp3
Processing state: processed
JSON: https://stenobird.com/v1/public/podcasts/data-brew-by-databricks/episodes/kumo-ai-relational-deep-learning-data-brew-episode-34
Duration seconds: 2607

## Resource

In this episode, Jure Leskovec, Co-founder of Kumo AI and Professor of Computer Science at Stanford University, discusses Relational Deep Learning (RDL) and its role in automating feature engineering. Highlights include: - How RDL enhances predictive modeling. - Applications in fraud detection and recommendation systems. - The use of graph neural networks to simplify complex data structures.

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## Transcript

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