96 Epizód

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Közzétéve: 2022. 05. 11.

3 / 5

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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