96 Épisodes

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

    Publié: 22/04/2021
  2. Data Visualization, Democratization, and Javascript with Melody Meckfessel

    Publié: 25/03/2021
  3. DataOps, MLOps, and Self Service: How Data Teams are Changing

    Publié: 11/03/2021
  4. Fabrics, Meshes, and Graphs with Deloitte Principal Dave Thomas

    Publié: 25/02/2021
  5. Metadata, Graphs, and Responsible AI with Paco Nathan

    Publié: 11/02/2021
  6. Data Analytics: Hard Skills vs Soft Skills and the Gift of Thinking Different

    Publié: 28/01/2021
  7. Global Connectivity: Share and Democratize Through Open Data

    Publié: 14/01/2021
  8. From DBA to SRE: 2021 Predictions for Data on Kubernetes

    Publié: 23/12/2020
  9. Open Source’s Impact in Academia with Open@RIT's Stephen Jacobs

    Publié: 10/12/2020
  10. Data Meshes: Big Data Architecture Becoming Distributed, Declarative and Domain Oriented

    Publié: 25/11/2020
  11. Data on Kubernetes: Platform, Resource, and Ecosystem tooling with Microsoft Azure’s Lachlan Evenson

    Publié: 12/11/2020
  12. Data, Kubernetes, and Our Best Selves with Google’s Kelsey Hightower

    Publié: 29/10/2020
  13. Culture and Cognition in DevOps with Alchemist Accelerator’s Rachel Chalmers

    Publié: 15/10/2020
  14. Open Source Sustainability with AWS Exec + Tech Columnist Matt Asay

    Publié: 01/10/2020
  15. Storytelling in Product Development with Google’s Patricia Boswell

    Publié: 15/09/2020
  16. Introducing Open||Source||Data with Sam Ramji

    Publié: 03/09/2020

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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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