104 Episodes

  1. Metadata, Communities, and Architecture with Shirshanka Das

    Published: 16/09/2021

  2. Data Management Pain Points and Future Solutions for Data Discovery

    Published: 2/09/2021

  3. ModelOps, ML Monitoring, and Busy Humans with Elena Samuylova

    Published: 19/08/2021

  4. Cloud-Native, Open-Source, and Collaborative with Eric Brewer and Melody Meckfessel

    Published: 5/08/2021

  5. MLOps, AIOps, and Data Startups with Jocelyn Goldfein

    Published: 22/07/2021

  6. Git-Like Branch and Merge for Data with Einat Orr

    Published: 8/07/2021

  7. Data Discoverability, Products, and User Diversity with Shinji Kim

    Published: 24/06/2021

  8. Data Observability, Customer-Led Growth, and Confidence with Barr Moses

    Published: 10/06/2021

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

    Published: 22/04/2021

  10. Data Visualization, Democratization, and Javascript with Melody Meckfessel

    Published: 25/03/2021

  11. DataOps, MLOps, and Self Service: How Data Teams are Changing

    Published: 11/03/2021

  12. Fabrics, Meshes, and Graphs with Deloitte Principal Dave Thomas

    Published: 25/02/2021

  13. Metadata, Graphs, and Responsible AI with Paco Nathan

    Published: 11/02/2021

  14. Data Analytics: Hard Skills vs Soft Skills and the Gift of Thinking Different

    Published: 28/01/2021

  15. Global Connectivity: Share and Democratize Through Open Data

    Published: 14/01/2021

  16. From DBA to SRE: 2021 Predictions for Data on Kubernetes

    Published: 23/12/2020

  17. Open Source’s Impact in Academia with Open@RIT's Stephen Jacobs

    Published: 10/12/2020

  18. Data Meshes: Big Data Architecture Becoming Distributed, Declarative and Domain Oriented

    Published: 25/11/2020

  19. Data on Kubernetes: Platform, Resource, and Ecosystem tooling with Microsoft Azure’s Lachlan Evenson

    Published: 12/11/2020

  20. Data, Kubernetes, and Our Best Selves with Google’s Kelsey Hightower

    Published: 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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