Catalog & Cocktails: The Honest, No-BS Data Podcast

A podcast by data.world

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255 Episodes

  1. Juan's on Vacation

    Published: 6/1/2023
  2. UPDATED RELEASE: Automating Data Governance, it’s the only way to go w/ Ben Clinch from BT Group

    Published: 5/29/2023
  3. Takeaways with Ben Clinch from BT Group

    Published: 5/25/2023
  4. Using data to change the game w/ Maddy Want from Fanatics

    Published: 5/18/2023
  5. Takeaways with Maddy Want from Fanatics

    Published: 5/18/2023
  6. Live from the Knowledge Graph Conference with Katariina Kari from IKEA

    Published: 5/11/2023
  7. Takeaways with Katariina Kari from Ikea

    Published: 5/11/2023
  8. Unpacking Responsible AI with Ricardo Baeza-Yates

    Published: 5/4/2023
  9. Takeaways with Ricardo Baeza-Yates

    Published: 5/4/2023
  10. What is the DNA of a data organization? w/ Alex Vayner from KPMG US

    Published: 4/27/2023
  11. Takeaways with Alex Vayner from KPMG US

    Published: 4/27/2023
  12. KG + LLM = Happily Ever After? w/ Tony Seale, Knowledge Graph Engineer

    Published: 4/20/2023
  13. Do’s and Don’t for the Next Gen Data Leaders w/ Veronika Durgin, VP of Data at Saks 5th Avenue

    Published: 4/13/2023
  14. Takeaways with Veronika Durgin, VP of Data at Saks 5th Avenue

    Published: 4/13/2023
  15. Passing the buck; Business or Data?

    Published: 4/6/2023
  16. Takeaways with Benny Benford

    Published: 4/6/2023
  17. SHOW ME THE METRICS w/ Abhi Sivasailam

    Published: 3/30/2023
  18. Takeaways with Abhi Sivasailam

    Published: 3/30/2023
  19. Takeaways from Gartner D&A with Juan and Tim

    Published: 3/23/2023
  20. School of Building Data and Business Relationships w/ Kristin Schooley

    Published: 3/16/2023

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Catalog and Cocktails is an honest, no-BS, non-sales-y conversation about data and analytics. This is your unfiltered chat about everything interesting in data and metadata management, DataOps, architecture, and beyond. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from visionary leaders across the data space.