104 Episodo

  1. Season 3 Compressed Edition with Sam and Audra

    Publicado: 20/7/2022

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

    Publicado: 6/7/2022

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

    Publicado: 29/6/2022

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

    Publicado: 22/6/2022

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

    Publicado: 8/6/2022

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

    Publicado: 1/6/2022

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

    Publicado: 25/5/2022

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

    Publicado: 11/5/2022

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

    Publicado: 4/5/2022

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

    Publicado: 27/4/2022

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

    Publicado: 20/4/2022

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

    Publicado: 13/4/2022

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

    Publicado: 30/3/2022

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

    Publicado: 16/3/2022

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

    Publicado: 2/3/2022

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

    Publicado: 16/2/2022

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

    Publicado: 2/2/2022

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

    Publicado: 29/10/2021

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

    Publicado: 14/10/2021

  20. Abundance, Metadata, and Automation with Mark Grover

    Publicado: 30/9/2021

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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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