Open||Source||Data

Podcast készítő Charna Parkey - Keddek

Keddek

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91 Epizód

  1. Throwback: Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin

    Közzétéve: 2023. 10. 18.
  2. Reframing Machine Learning and AI-Assisted Development with Jorge Torres

    Közzétéve: 2023. 09. 27.
  3. A Sam Ramji Feature: The Evolution of Open Source, Kubernetes, and AI's Forward Journey

    Közzétéve: 2023. 09. 06.
  4. The Importance of Open Source Data for Generative AI, Now and in the Future with Abby Kearns

    Közzétéve: 2023. 08. 23.
  5. The Value of Reproducibility and Ease of AI Deployment with Daniel Lenton

    Közzétéve: 2023. 08. 09.
  6. ML Engineering Teams and Niche Chat Bot Experiences with Demetrios Brinkmann

    Közzétéve: 2023. 07. 26.
  7. Building With Trust, Inspiration, and Reputation with Jaya Gupta, Yuliia Tkachova, and Omoju Miller

    Közzétéve: 2023. 07. 12.
  8. FMOps and a Founders Automated Future with Jaya Gupta

    Közzétéve: 2023. 06. 28.
  9. MLOPs: Privacy, Security, Cost, and Latency - a Sneak Peek with Bart Farrell

    Közzétéve: 2023. 06. 14.
  10. Web3 and Putting Reputation on Code with ML with Omoju Miller

    Közzétéve: 2023. 05. 31.
  11. The Human Right to Privacy and Caring About UX Design with Yuliia Tkachova

    Közzétéve: 2023. 05. 17.
  12. Determinism in Complex Environments and Workflow Services with Maxim Fateev

    Közzétéve: 2023. 05. 03.
  13. The AI-Native Stack in Practice with Charna Parkey and Sam Bean

    Közzétéve: 2023. 03. 15.
  14. The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik

    Közzétéve: 2023. 03. 01.
  15. Special Episode: Data on Kubernetes and Cassandra Forward with Patrick McFadin

    Közzétéve: 2023. 02. 22.
  16. Making Graph Data Easier with Open Initiatives with Denise Gosnell

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

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

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

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

    Közzétéve: 2022. 12. 14.

2 / 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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