Open||Source||Data
Ein Podcast von Charna Parkey - Dienstags
96 Folgen
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Data Meshes, Fabrics, and Discovery with Zhamak Dehghani, David Thomas, and Shirshanka Das
Vom: 4.5.2022 -
Investing in Communities, Differentiating, and Trusting Your Gut with Erica Brescia
Vom: 27.4.2022 -
Data on Kubernetes with Kelsey Hightower, Lachlan Evenson, and Patrick McFadin
Vom: 20.4.2022 -
Deep Fakes, Responsible Data Science, and Trust with David Danks
Vom: 13.4.2022 -
Cloud Innovation, Analytics, and Data Transformation with Monica Kumar
Vom: 30.3.2022 -
Data Lakehouses, Interoperability, and Accessibility with Tomer Shiran
Vom: 16.3.2022 -
Interoperability, Governance, and Divergent Teams with Prukalpa Sankar
Vom: 2.3.2022 -
Trust, Automation, and Trade-Offs with Joseph Jacks
Vom: 16.2.2022 -
Open Source, Adoptability, and Name Changes with Martin Traverso
Vom: 2.2.2022 -
Season Two Finale and Recap with Open||Source||Data Producer Audra Montenegro
Vom: 29.10.2021 -
Embeddings, Feature stores, and MLOps with Simba Khadder
Vom: 14.10.2021 -
Abundance, Metadata, and Automation with Mark Grover
Vom: 30.9.2021 -
Metadata, Communities, and Architecture with Shirshanka Das
Vom: 16.9.2021 -
Data Management Pain Points and Future Solutions for Data Discovery
Vom: 2.9.2021 -
ModelOps, ML Monitoring, and Busy Humans with Elena Samuylova
Vom: 19.8.2021 -
Cloud-Native, Open-Source, and Collaborative with Eric Brewer and Melody Meckfessel
Vom: 5.8.2021 -
MLOps, AIOps, and Data Startups with Jocelyn Goldfein
Vom: 22.7.2021 -
Git-Like Branch and Merge for Data with Einat Orr
Vom: 8.7.2021 -
Data Discoverability, Products, and User Diversity with Shinji Kim
Vom: 24.6.2021 -
Data Observability, Customer-Led Growth, and Confidence with Barr Moses
Vom: 10.6.2021
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.
