104 Epizód

  1. FMOps and a Founders Automated Future with Jaya Gupta

    Közzétéve: 2023. 06. 28.

  2. MLOPs: Privacy, Security, Cost, and Latency - a Sneak Peek with Bart Farrell

    Közzétéve: 2023. 06. 14.

  3. Web3 and Putting Reputation on Code with ML with Omoju Miller

    Közzétéve: 2023. 05. 31.

  4. The Human Right to Privacy and Caring About UX Design with Yuliia Tkachova

    Közzétéve: 2023. 05. 17.

  5. Determinism in Complex Environments and Workflow Services with Maxim Fateev

    Közzétéve: 2023. 05. 03.

  6. The AI-Native Stack in Practice with Charna Parkey and Sam Bean

    Közzétéve: 2023. 03. 15.

  7. The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik

    Közzétéve: 2023. 03. 01.

  8. Special Episode: Data on Kubernetes and Cassandra Forward with Patrick McFadin

    Közzétéve: 2023. 02. 22.

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

    Közzétéve: 2023. 02. 15.

  10. Advising Big Data and The Future of AI/ML with Ben Lorica

    Közzétéve: 2023. 02. 01.

  11. Functional Programming and an Ideal Data Stack Building Experience with Holden Karau

    Közzétéve: 2023. 01. 18.

  12. Workflow Engines and Building a Domain Specific Language for Data Quality with Tom Baeyens

    Közzétéve: 2023. 01. 04.

  13. Enabling Edge Workers, AI & ML, and The Future of Data Science with Matthew Rocklin

    Közzétéve: 2022. 12. 14.

  14. OSPOs, Measuring Community Success, and Self Knowledge with Nithya Ruff

    Közzétéve: 2022. 12. 07.

  15. IoT Databases, Digital Twins, and Real Holodecks with Jonathan Beri

    Közzétéve: 2022. 11. 23.

  16. Healthcare Infrastructure, ALS Research and Reliable Data with Indu Navar

    Közzétéve: 2022. 11. 09.

  17. Shifting Left on Data with DeVaris Brown, Tomer Shiran, and Erica Brescia

    Közzétéve: 2022. 11. 02.

  18. Serial Entrepreneurship, Metadata Capture Systems, and Osquery with Tony Gauda

    Közzétéve: 2022. 10. 26.

  19. Code Intelligence, GraphQL, and Closing the Remediation Gap with Beyang Liu

    Közzétéve: 2022. 10. 12.

  20. Stream Processing, Observability, and the User Experience with Eric Sammer

    Közzétéve: 2022. 09. 28.

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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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