104 Episodo

  1. FMOps and a Founders Automated Future with Jaya Gupta

    Publicado: 28/6/2023

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

    Publicado: 14/6/2023

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

    Publicado: 31/5/2023

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

    Publicado: 17/5/2023

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

    Publicado: 3/5/2023

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

    Publicado: 15/3/2023

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

    Publicado: 1/3/2023

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

    Publicado: 22/2/2023

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

    Publicado: 15/2/2023

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

    Publicado: 1/2/2023

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

    Publicado: 18/1/2023

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

    Publicado: 4/1/2023

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

    Publicado: 14/12/2022

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

    Publicado: 7/12/2022

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

    Publicado: 23/11/2022

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

    Publicado: 9/11/2022

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

    Publicado: 2/11/2022

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

    Publicado: 26/10/2022

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

    Publicado: 12/10/2022

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

    Publicado: 28/9/2022

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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.

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