96 Épisodes

  1. An Innovative Approach to AI & NLP with Milos Rusic

    Publié: 27/02/2024
  2. New Beginnings: Open||Source||Data in Transition

    Publié: 20/12/2023
  3. The Intersection of Open Source and AI with Stefano Maffulli & Stephen O’Grady

    Publié: 13/12/2023
  4. Throwback: The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik

    Publié: 15/11/2023
  5. How We Should Think About Data Reliability for Our LLMs with Mona Rakibe

    Publié: 01/11/2023
  6. Throwback: Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin

    Publié: 18/10/2023
  7. Reframing Machine Learning and AI-Assisted Development with Jorge Torres

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

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

    Publié: 23/08/2023
  10. The Value of Reproducibility and Ease of AI Deployment with Daniel Lenton

    Publié: 09/08/2023
  11. ML Engineering Teams and Niche Chat Bot Experiences with Demetrios Brinkmann

    Publié: 26/07/2023
  12. Building With Trust, Inspiration, and Reputation with Jaya Gupta, Yuliia Tkachova, and Omoju Miller

    Publié: 12/07/2023
  13. FMOps and a Founders Automated Future with Jaya Gupta

    Publié: 28/06/2023
  14. MLOPs: Privacy, Security, Cost, and Latency - a Sneak Peek with Bart Farrell

    Publié: 14/06/2023
  15. Web3 and Putting Reputation on Code with ML with Omoju Miller

    Publié: 31/05/2023
  16. The Human Right to Privacy and Caring About UX Design with Yuliia Tkachova

    Publié: 17/05/2023
  17. Determinism in Complex Environments and Workflow Services with Maxim Fateev

    Publié: 03/05/2023
  18. The AI-Native Stack in Practice with Charna Parkey and Sam Bean

    Publié: 15/03/2023
  19. The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik

    Publié: 01/03/2023
  20. Special Episode: Data on Kubernetes and Cassandra Forward with Patrick McFadin

    Publié: 22/02/2023

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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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