104 Epizód

  1. Season 7 Finale: Open Source, AI in Real Life & Developments

    Közzétéve: 2025. 09. 23.

  2. Can You Build AI Without Bias? | John Pasmore

    Közzétéve: 2025. 07. 29.

  3. How Open Data and AI Are Transforming Environmental Monitoring | Gracie Ermi

    Közzétéve: 2025. 07. 15.

  4. Multi-Agent Systems and Human-Agent Collaboration | Rodrigo Nader

    Közzétéve: 2025. 07. 01.

  5. Why AI Can’t Scale Without Infrastructure Fixes | Darrick Horton

    Közzétéve: 2025. 06. 17.

  6. Building Open-Source LLMs with Philosophy | Anastasia Stasenko

    Közzétéve: 2025. 06. 03.

  7. Democratizing Cloud Infrastructure | Kevin Carter

    Közzétéve: 2025. 05. 20.

  8. AI and the Future of Media Consumption | Pete Pachal

    Közzétéve: 2025. 05. 06.

  9. Your AI Roadmap: Building a Career, Revenue and a Future in AI | Dr. Joan Bajorek

    Közzétéve: 2025. 04. 22.

  10. Cooperative Systems, Data Transparency & Quality and the Year of Small AI | Dr. Jason Corso

    Közzétéve: 2025. 04. 08.

  11. Building the Future of Streaming Data | Alex Gallego

    Közzétéve: 2025. 04. 03.

  12. What is Neuro-Symbolic AI? | Emin Can Turan

    Közzétéve: 2025. 03. 11.

  13. How to Empower Non-Technical Teams with Data Insights | Suzanne El-Moursi

    Közzétéve: 2025. 02. 25.

  14. Open Source AI and Copyright: Building Ethical Models | Kent Keirsey

    Közzétéve: 2025. 02. 11.

  15. Building Trust in AI: From Open Source to Global Impact with host, Charna Parkey

    Közzétéve: 2024. 10. 08.

  16. AI Regulations in Financial Services with Vinay Kumar

    Közzétéve: 2024. 09. 24.

  17. The importance and the Challenges & Solutions of AI Literacy with Brian Magerko

    Közzétéve: 2024. 08. 13.

  18. Demystifying AI Governance: A Practical Guide for Organizations with Heather Domin

    Közzétéve: 2024. 07. 30.

  19. Transforming Food Systems with Regenerative AI with Ethan Soloviev

    Közzétéve: 2024. 07. 16.

  20. Redefining AI Ethics: The Key Role of Explainability with Beth Rudden

    Közzétéve: 2024. 07. 02.

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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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