96 Avsnitt

  1. Making Graph Data Easier with Open Initiatives with Denise Gosnell

    Publicerades: 2023-02-15
  2. Advising Big Data and The Future of AI/ML with Ben Lorica

    Publicerades: 2023-02-01
  3. Functional Programming and an Ideal Data Stack Building Experience with Holden Karau

    Publicerades: 2023-01-18
  4. Workflow Engines and Building a Domain Specific Language for Data Quality with Tom Baeyens

    Publicerades: 2023-01-04
  5. Enabling Edge Workers, AI & ML, and The Future of Data Science with Matthew Rocklin

    Publicerades: 2022-12-14
  6. OSPOs, Measuring Community Success, and Self Knowledge with Nithya Ruff

    Publicerades: 2022-12-07
  7. IoT Databases, Digital Twins, and Real Holodecks with Jonathan Beri

    Publicerades: 2022-11-23
  8. Healthcare Infrastructure, ALS Research and Reliable Data with Indu Navar

    Publicerades: 2022-11-09
  9. Shifting Left on Data with DeVaris Brown, Tomer Shiran, and Erica Brescia

    Publicerades: 2022-11-02
  10. Serial Entrepreneurship, Metadata Capture Systems, and Osquery with Tony Gauda

    Publicerades: 2022-10-26
  11. Code Intelligence, GraphQL, and Closing the Remediation Gap with Beyang Liu

    Publicerades: 2022-10-12
  12. Stream Processing, Observability, and the User Experience with Eric Sammer

    Publicerades: 2022-09-28
  13. Season 3 Compressed Edition with Sam and Audra

    Publicerades: 2022-07-20
  14. Accelerating Computation, Machine Learning, and Data Mesh with Sophie Watson

    Publicerades: 2022-07-06
  15. Democratization and Cognition with Margot Gerritsen, Rachel Chalmers, and Patricia Boswell

    Publicerades: 2022-06-29
  16. Vector Search, the AI Stack and more with Bob van Luijt

    Publicerades: 2022-06-22
  17. Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin

    Publicerades: 2022-06-08
  18. Data Observability with Barr Moses, Einat Orr, and Shinji Kim

    Publicerades: 2022-06-01
  19. Apache Pinot and Real-Time Analytics with Neha Pawar

    Publicerades: 2022-05-25
  20. Real-Time Data, Enabling Developers, and User Experience with DeVaris Brown

    Publicerades: 2022-05-11

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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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