Open||Source||Data

A podcast by Charna Parkey - Tuesdays

Tuesdays

Categories:

89 Episodes

  1. AI Regulations in Financial Services with Vinay Kumar

    Published: 9/24/2024
  2. The importance and the Challenges & Solutions of AI Literacy with Brian Magerko

    Published: 8/13/2024
  3. Demystifying AI Governance: A Practical Guide for Organizations with Heather Domin

    Published: 7/30/2024
  4. Transforming Food Systems with Regenerative AI with Ethan Soloviev

    Published: 7/16/2024
  5. Redefining AI Ethics: The Key Role of Explainability with Beth Rudden

    Published: 7/2/2024
  6. Eliminating AI Bias Through Inclusive Data Annotation with Andrea Brown

    Published: 6/18/2024
  7. Regulation's Role in Driving Responsible AI with Asa Whillock

    Published: 6/4/2024
  8. Transforming Client Experience with AI with Robbi Armstrong

    Published: 5/21/2024
  9. Navigating Open Source Talent, AI & Policy Challenges with Amanda Brock

    Published: 5/7/2024
  10. Using AI to Impact Performance Feedback Equity with Tacita Morway

    Published: 4/23/2024
  11. The Ethical Path to High-Quality AI Data with Fabiana Clemente

    Published: 4/9/2024
  12. Disrupting Data Analysis with Avi Press

    Published: 3/26/2024
  13. Tech, Trust, and Transformation with Paula Paul

    Published: 3/12/2024
  14. An Innovative Approach to AI & NLP with Milos Rusic

    Published: 2/27/2024
  15. New Beginnings: Open||Source||Data in Transition

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

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

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

    Published: 11/1/2023
  19. Throwback: Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin

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

    Published: 9/27/2023

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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.