Open||Source||Data

En podcast af Charna Parkey - Tirsdage

Tirsdage

Kategorier:

89 Episoder

  1. Trust, Automation, and Trade-Offs with Joseph Jacks

    Udgivet: 16.2.2022
  2. Open Source, Adoptability, and Name Changes with Martin Traverso

    Udgivet: 2.2.2022
  3. Season Two Finale and Recap with Open||Source||Data Producer Audra Montenegro

    Udgivet: 29.10.2021
  4. Embeddings, Feature stores, and MLOps with Simba Khadder

    Udgivet: 14.10.2021
  5. Abundance, Metadata, and Automation with Mark Grover

    Udgivet: 30.9.2021
  6. Metadata, Communities, and Architecture with Shirshanka Das

    Udgivet: 16.9.2021
  7. Data Management Pain Points and Future Solutions for Data Discovery

    Udgivet: 2.9.2021
  8. ModelOps, ML Monitoring, and Busy Humans with Elena Samuylova

    Udgivet: 19.8.2021
  9. Cloud-Native, Open-Source, and Collaborative with Eric Brewer and Melody Meckfessel

    Udgivet: 5.8.2021
  10. MLOps, AIOps, and Data Startups with Jocelyn Goldfein

    Udgivet: 22.7.2021
  11. Git-Like Branch and Merge for Data with Einat Orr

    Udgivet: 8.7.2021
  12. Data Discoverability, Products, and User Diversity with Shinji Kim

    Udgivet: 24.6.2021
  13. Data Observability, Customer-Led Growth, and Confidence with Barr Moses

    Udgivet: 10.6.2021
  14. Open Source Data & Its Role in the Future of Technology: Season 1 Recap

    Udgivet: 22.4.2021
  15. Data Visualization, Democratization, and Javascript with Melody Meckfessel

    Udgivet: 25.3.2021
  16. DataOps, MLOps, and Self Service: How Data Teams are Changing

    Udgivet: 11.3.2021
  17. Fabrics, Meshes, and Graphs with Deloitte Principal Dave Thomas

    Udgivet: 25.2.2021
  18. Metadata, Graphs, and Responsible AI with Paco Nathan

    Udgivet: 11.2.2021
  19. Data Analytics: Hard Skills vs Soft Skills and the Gift of Thinking Different

    Udgivet: 28.1.2021
  20. Global Connectivity: Share and Democratize Through Open Data

    Udgivet: 14.1.2021

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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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