104 Episodes

  1. Season 3 Compressed Edition with Sam and Audra

    Published: 20/07/2022
  2. Accelerating Computation, Machine Learning, and Data Mesh with Sophie Watson

    Published: 6/07/2022
  3. Democratization and Cognition with Margot Gerritsen, Rachel Chalmers, and Patricia Boswell

    Published: 29/06/2022
  4. Vector Search, the AI Stack and more with Bob van Luijt

    Published: 22/06/2022
  5. Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin

    Published: 8/06/2022
  6. Data Observability with Barr Moses, Einat Orr, and Shinji Kim

    Published: 1/06/2022
  7. Apache Pinot and Real-Time Analytics with Neha Pawar

    Published: 25/05/2022
  8. Real-Time Data, Enabling Developers, and User Experience with DeVaris Brown

    Published: 11/05/2022
  9. Data Meshes, Fabrics, and Discovery with Zhamak Dehghani, David Thomas, and Shirshanka Das

    Published: 4/05/2022
  10. Investing in Communities, Differentiating, and Trusting Your Gut with Erica Brescia

    Published: 27/04/2022
  11. Data on Kubernetes with Kelsey Hightower, Lachlan Evenson, and Patrick McFadin

    Published: 20/04/2022
  12. Deep Fakes, Responsible Data Science, and Trust with David Danks

    Published: 13/04/2022
  13. Cloud Innovation, Analytics, and Data Transformation with Monica Kumar

    Published: 30/03/2022
  14. Data Lakehouses, Interoperability, and Accessibility with Tomer Shiran

    Published: 16/03/2022
  15. Interoperability, Governance, and Divergent Teams with Prukalpa Sankar

    Published: 2/03/2022
  16. Trust, Automation, and Trade-Offs with Joseph Jacks

    Published: 16/02/2022
  17. Open Source, Adoptability, and Name Changes with Martin Traverso

    Published: 2/02/2022
  18. Season Two Finale and Recap with Open||Source||Data Producer Audra Montenegro

    Published: 29/10/2021
  19. Embeddings, Feature stores, and MLOps with Simba Khadder

    Published: 14/10/2021
  20. Abundance, Metadata, and Automation with Mark Grover

    Published: 30/09/2021

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What can we learn from ai-native development through stimulating conversations with developers, regulators, academics and people like you that drive forward development, seek to understand impact, and are working to mitigate risk in this new world? Join Charna Parkey and the community shaping the future of open source data, open source software, data in AI, and much more.

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