Open||Source||Data

A podcast by Charna Parkey - Tuesdays

Tuesdays

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89 Episodes

  1. A Sam Ramji Feature: The Evolution of Open Source, Kubernetes, and AI's Forward Journey

    Published: 9/6/2023
  2. The Importance of Open Source Data for Generative AI, Now and in the Future with Abby Kearns

    Published: 8/23/2023
  3. The Value of Reproducibility and Ease of AI Deployment with Daniel Lenton

    Published: 8/9/2023
  4. ML Engineering Teams and Niche Chat Bot Experiences with Demetrios Brinkmann

    Published: 7/26/2023
  5. Building With Trust, Inspiration, and Reputation with Jaya Gupta, Yuliia Tkachova, and Omoju Miller

    Published: 7/12/2023
  6. FMOps and a Founders Automated Future with Jaya Gupta

    Published: 6/28/2023
  7. MLOPs: Privacy, Security, Cost, and Latency - a Sneak Peek with Bart Farrell

    Published: 6/14/2023
  8. Web3 and Putting Reputation on Code with ML with Omoju Miller

    Published: 5/31/2023
  9. The Human Right to Privacy and Caring About UX Design with Yuliia Tkachova

    Published: 5/17/2023
  10. Determinism in Complex Environments and Workflow Services with Maxim Fateev

    Published: 5/3/2023
  11. The AI-Native Stack in Practice with Charna Parkey and Sam Bean

    Published: 3/15/2023
  12. The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik

    Published: 3/1/2023
  13. Special Episode: Data on Kubernetes and Cassandra Forward with Patrick McFadin

    Published: 2/22/2023
  14. Making Graph Data Easier with Open Initiatives with Denise Gosnell

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

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

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

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

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

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

    Published: 11/23/2022

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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.