Open||Source||Data
Podcast autorstwa Charna Parkey - Wtorki
96 Odcinki
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Data Meshes, Fabrics, and Discovery with Zhamak Dehghani, David Thomas, and Shirshanka Das
Opublikowany: 4.05.2022 -
Investing in Communities, Differentiating, and Trusting Your Gut with Erica Brescia
Opublikowany: 27.04.2022 -
Data on Kubernetes with Kelsey Hightower, Lachlan Evenson, and Patrick McFadin
Opublikowany: 20.04.2022 -
Deep Fakes, Responsible Data Science, and Trust with David Danks
Opublikowany: 13.04.2022 -
Cloud Innovation, Analytics, and Data Transformation with Monica Kumar
Opublikowany: 30.03.2022 -
Data Lakehouses, Interoperability, and Accessibility with Tomer Shiran
Opublikowany: 16.03.2022 -
Interoperability, Governance, and Divergent Teams with Prukalpa Sankar
Opublikowany: 2.03.2022 -
Trust, Automation, and Trade-Offs with Joseph Jacks
Opublikowany: 16.02.2022 -
Open Source, Adoptability, and Name Changes with Martin Traverso
Opublikowany: 2.02.2022 -
Season Two Finale and Recap with Open||Source||Data Producer Audra Montenegro
Opublikowany: 29.10.2021 -
Embeddings, Feature stores, and MLOps with Simba Khadder
Opublikowany: 14.10.2021 -
Abundance, Metadata, and Automation with Mark Grover
Opublikowany: 30.09.2021 -
Metadata, Communities, and Architecture with Shirshanka Das
Opublikowany: 16.09.2021 -
Data Management Pain Points and Future Solutions for Data Discovery
Opublikowany: 2.09.2021 -
ModelOps, ML Monitoring, and Busy Humans with Elena Samuylova
Opublikowany: 19.08.2021 -
Cloud-Native, Open-Source, and Collaborative with Eric Brewer and Melody Meckfessel
Opublikowany: 5.08.2021 -
MLOps, AIOps, and Data Startups with Jocelyn Goldfein
Opublikowany: 22.07.2021 -
Git-Like Branch and Merge for Data with Einat Orr
Opublikowany: 8.07.2021 -
Data Discoverability, Products, and User Diversity with Shinji Kim
Opublikowany: 24.06.2021 -
Data Observability, Customer-Led Growth, and Confidence with Barr Moses
Opublikowany: 10.06.2021
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.