Open||Source||Data
Podcast készítő Charna Parkey - Keddek
96 Epizód
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Data Meshes, Fabrics, and Discovery with Zhamak Dehghani, David Thomas, and Shirshanka Das
Közzétéve: 2022. 05. 04. -
Investing in Communities, Differentiating, and Trusting Your Gut with Erica Brescia
Közzétéve: 2022. 04. 27. -
Data on Kubernetes with Kelsey Hightower, Lachlan Evenson, and Patrick McFadin
Közzétéve: 2022. 04. 20. -
Deep Fakes, Responsible Data Science, and Trust with David Danks
Közzétéve: 2022. 04. 13. -
Cloud Innovation, Analytics, and Data Transformation with Monica Kumar
Közzétéve: 2022. 03. 30. -
Data Lakehouses, Interoperability, and Accessibility with Tomer Shiran
Közzétéve: 2022. 03. 16. -
Interoperability, Governance, and Divergent Teams with Prukalpa Sankar
Közzétéve: 2022. 03. 02. -
Trust, Automation, and Trade-Offs with Joseph Jacks
Közzétéve: 2022. 02. 16. -
Open Source, Adoptability, and Name Changes with Martin Traverso
Közzétéve: 2022. 02. 02. -
Season Two Finale and Recap with Open||Source||Data Producer Audra Montenegro
Közzétéve: 2021. 10. 29. -
Embeddings, Feature stores, and MLOps with Simba Khadder
Közzétéve: 2021. 10. 14. -
Abundance, Metadata, and Automation with Mark Grover
Közzétéve: 2021. 09. 30. -
Metadata, Communities, and Architecture with Shirshanka Das
Közzétéve: 2021. 09. 16. -
Data Management Pain Points and Future Solutions for Data Discovery
Közzétéve: 2021. 09. 02. -
ModelOps, ML Monitoring, and Busy Humans with Elena Samuylova
Közzétéve: 2021. 08. 19. -
Cloud-Native, Open-Source, and Collaborative with Eric Brewer and Melody Meckfessel
Közzétéve: 2021. 08. 05. -
MLOps, AIOps, and Data Startups with Jocelyn Goldfein
Közzétéve: 2021. 07. 22. -
Git-Like Branch and Merge for Data with Einat Orr
Közzétéve: 2021. 07. 08. -
Data Discoverability, Products, and User Diversity with Shinji Kim
Közzétéve: 2021. 06. 24. -
Data Observability, Customer-Led Growth, and Confidence with Barr Moses
Közzétéve: 2021. 06. 10.
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.