Open||Source||Data
En podcast af Charna Parkey - Tirsdage
Kategorier:
89 Episoder
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Healthcare Infrastructure, ALS Research and Reliable Data with Indu Navar
Udgivet: 9.11.2022 -
Shifting Left on Data with DeVaris Brown, Tomer Shiran, and Erica Brescia
Udgivet: 2.11.2022 -
Serial Entrepreneurship, Metadata Capture Systems, and Osquery with Tony Gauda
Udgivet: 26.10.2022 -
Code Intelligence, GraphQL, and Closing the Remediation Gap with Beyang Liu
Udgivet: 12.10.2022 -
Stream Processing, Observability, and the User Experience with Eric Sammer
Udgivet: 28.9.2022 -
Season 3 Compressed Edition with Sam and Audra
Udgivet: 20.7.2022 -
Accelerating Computation, Machine Learning, and Data Mesh with Sophie Watson
Udgivet: 6.7.2022 -
Democratization and Cognition with Margot Gerritsen, Rachel Chalmers, and Patricia Boswell
Udgivet: 29.6.2022 -
Vector Search, the AI Stack and more with Bob van Luijt
Udgivet: 22.6.2022 -
Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin
Udgivet: 8.6.2022 -
Data Observability with Barr Moses, Einat Orr, and Shinji Kim
Udgivet: 1.6.2022 -
Apache Pinot and Real-Time Analytics with Neha Pawar
Udgivet: 25.5.2022 -
Real-Time Data, Enabling Developers, and User Experience with DeVaris Brown
Udgivet: 11.5.2022 -
Data Meshes, Fabrics, and Discovery with Zhamak Dehghani, David Thomas, and Shirshanka Das
Udgivet: 4.5.2022 -
Investing in Communities, Differentiating, and Trusting Your Gut with Erica Brescia
Udgivet: 27.4.2022 -
Data on Kubernetes with Kelsey Hightower, Lachlan Evenson, and Patrick McFadin
Udgivet: 20.4.2022 -
Deep Fakes, Responsible Data Science, and Trust with David Danks
Udgivet: 13.4.2022 -
Cloud Innovation, Analytics, and Data Transformation with Monica Kumar
Udgivet: 30.3.2022 -
Data Lakehouses, Interoperability, and Accessibility with Tomer Shiran
Udgivet: 16.3.2022 -
Interoperability, Governance, and Divergent Teams with Prukalpa Sankar
Udgivet: 2.3.2022
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.