Making Data Simple Fresh off a high-profile appearance on CNBC! Jure Leskovec, Chief Scientist at Kumo and a Stanford Professor who's fundamentally reshaped how we understand networks {Replay}
Fresh off a high-profile appearance on CNBC’s Worldwide Exchange discussing how AI will move beyond chatbots to autonomous agents that reshape jobs and productivity! Replay this episode where Jure digs into why structured data is still lagging behind the AI revolution and what comes next for predictive AI on relational data.
Data’s everywhere, but so often it feels… stuck. Joining us today is Jure Leskovec, Chief Scientist at Kumo and a Stanford Professor who's fundamentally reshaped how we understand networks—from Pinterest's recommendations to tracking the spread of disease. Jure was just on CNBC, and now he’s back on the show to dive even deeper into how structured data is lagging behind the AI revolution. We’ll explore how techniques like Graph Neural Networks are finally unlocking its potential, and how this all plays out in real-world applications.
- 00:57 Meet Jure Leskovec
- 02:31 Knowing When to Move On
- 04:01 Academia versus Industry
- 07:30 Learnings from Pinterest
- 10:28 The Kumo Pitch
- 17:57 The Secret Sauce
- 25:51 Monetization
- 27:12 Only the Enterprise?
- 29:49 The Sandbox to Try Before Buy
- 31:42 The Best Use Cases
- 35:00 Summarizing
- 37:38 Predicting AI
- 40:15 What's True and No One Agrees
- 41:19 Learning
LinkedIn: https://www.linkedin.com/in/leskovec/
Website: https://kumo.ai/
CNBC appearance: https://www.youtube.com/watch?v=G98bFN4HE1w
Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.