104 Epizód

  1. Season 3 Compressed Edition with Sam and Audra

    Közzétéve: 2022. 07. 20.

  2. Accelerating Computation, Machine Learning, and Data Mesh with Sophie Watson

    Közzétéve: 2022. 07. 06.

  3. Democratization and Cognition with Margot Gerritsen, Rachel Chalmers, and Patricia Boswell

    Közzétéve: 2022. 06. 29.

  4. Vector Search, the AI Stack and more with Bob van Luijt

    Közzétéve: 2022. 06. 22.

  5. Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin

    Közzétéve: 2022. 06. 08.

  6. Data Observability with Barr Moses, Einat Orr, and Shinji Kim

    Közzétéve: 2022. 06. 01.

  7. Apache Pinot and Real-Time Analytics with Neha Pawar

    Közzétéve: 2022. 05. 25.

  8. Real-Time Data, Enabling Developers, and User Experience with DeVaris Brown

    Közzétéve: 2022. 05. 11.

  9. Data Meshes, Fabrics, and Discovery with Zhamak Dehghani, David Thomas, and Shirshanka Das

    Közzétéve: 2022. 05. 04.

  10. Investing in Communities, Differentiating, and Trusting Your Gut with Erica Brescia

    Közzétéve: 2022. 04. 27.

  11. Data on Kubernetes with Kelsey Hightower, Lachlan Evenson, and Patrick McFadin

    Közzétéve: 2022. 04. 20.

  12. Deep Fakes, Responsible Data Science, and Trust with David Danks

    Közzétéve: 2022. 04. 13.

  13. Cloud Innovation, Analytics, and Data Transformation with Monica Kumar

    Közzétéve: 2022. 03. 30.

  14. Data Lakehouses, Interoperability, and Accessibility with Tomer Shiran

    Közzétéve: 2022. 03. 16.

  15. Interoperability, Governance, and Divergent Teams with Prukalpa Sankar

    Közzétéve: 2022. 03. 02.

  16. Trust, Automation, and Trade-Offs with Joseph Jacks

    Közzétéve: 2022. 02. 16.

  17. Open Source, Adoptability, and Name Changes with Martin Traverso

    Közzétéve: 2022. 02. 02.

  18. Season Two Finale and Recap with Open||Source||Data Producer Audra Montenegro

    Közzétéve: 2021. 10. 29.

  19. Embeddings, Feature stores, and MLOps with Simba Khadder

    Közzétéve: 2021. 10. 14.

  20. Abundance, Metadata, and Automation with Mark Grover

    Közzétéve: 2021. 09. 30.

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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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