104 Afleveringen

  1. Metadata, Communities, and Architecture with Shirshanka Das

    Gepubliceerd: 16-9-2021
  2. Data Management Pain Points and Future Solutions for Data Discovery

    Gepubliceerd: 2-9-2021
  3. ModelOps, ML Monitoring, and Busy Humans with Elena Samuylova

    Gepubliceerd: 19-8-2021
  4. Cloud-Native, Open-Source, and Collaborative with Eric Brewer and Melody Meckfessel

    Gepubliceerd: 5-8-2021
  5. MLOps, AIOps, and Data Startups with Jocelyn Goldfein

    Gepubliceerd: 22-7-2021
  6. Git-Like Branch and Merge for Data with Einat Orr

    Gepubliceerd: 8-7-2021
  7. Data Discoverability, Products, and User Diversity with Shinji Kim

    Gepubliceerd: 24-6-2021
  8. Data Observability, Customer-Led Growth, and Confidence with Barr Moses

    Gepubliceerd: 10-6-2021
  9. Open Source Data & Its Role in the Future of Technology: Season 1 Recap

    Gepubliceerd: 22-4-2021
  10. Data Visualization, Democratization, and Javascript with Melody Meckfessel

    Gepubliceerd: 25-3-2021
  11. DataOps, MLOps, and Self Service: How Data Teams are Changing

    Gepubliceerd: 11-3-2021
  12. Fabrics, Meshes, and Graphs with Deloitte Principal Dave Thomas

    Gepubliceerd: 25-2-2021
  13. Metadata, Graphs, and Responsible AI with Paco Nathan

    Gepubliceerd: 11-2-2021
  14. Data Analytics: Hard Skills vs Soft Skills and the Gift of Thinking Different

    Gepubliceerd: 28-1-2021
  15. Global Connectivity: Share and Democratize Through Open Data

    Gepubliceerd: 14-1-2021
  16. From DBA to SRE: 2021 Predictions for Data on Kubernetes

    Gepubliceerd: 23-12-2020
  17. Open Source’s Impact in Academia with Open@RIT's Stephen Jacobs

    Gepubliceerd: 10-12-2020
  18. Data Meshes: Big Data Architecture Becoming Distributed, Declarative and Domain Oriented

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

    Gepubliceerd: 12-11-2020
  20. Data, Kubernetes, and Our Best Selves with Google’s Kelsey Hightower

    Gepubliceerd: 29-10-2020

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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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