96 Episodes

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

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

    Published: 2/1/2023
  3. Functional Programming and an Ideal Data Stack Building Experience with Holden Karau

    Published: 1/18/2023
  4. Workflow Engines and Building a Domain Specific Language for Data Quality with Tom Baeyens

    Published: 1/4/2023
  5. Enabling Edge Workers, AI & ML, and The Future of Data Science with Matthew Rocklin

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

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

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

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

    Published: 11/2/2022
  10. Serial Entrepreneurship, Metadata Capture Systems, and Osquery with Tony Gauda

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

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

    Published: 9/28/2022
  13. Season 3 Compressed Edition with Sam and Audra

    Published: 7/20/2022
  14. Accelerating Computation, Machine Learning, and Data Mesh with Sophie Watson

    Published: 7/6/2022
  15. Democratization and Cognition with Margot Gerritsen, Rachel Chalmers, and Patricia Boswell

    Published: 6/29/2022
  16. Vector Search, the AI Stack and more with Bob van Luijt

    Published: 6/22/2022
  17. Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin

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

    Published: 6/1/2022
  19. Apache Pinot and Real-Time Analytics with Neha Pawar

    Published: 5/25/2022
  20. Real-Time Data, Enabling Developers, and User Experience with DeVaris Brown

    Published: 5/11/2022

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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.