Open||Source||Data
Podcast készítő Charna Parkey - Keddek
96 Epizód
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Making Graph Data Easier with Open Initiatives with Denise Gosnell
Közzétéve: 2023. 02. 15. -
Advising Big Data and The Future of AI/ML with Ben Lorica
Közzétéve: 2023. 02. 01. -
Functional Programming and an Ideal Data Stack Building Experience with Holden Karau
Közzétéve: 2023. 01. 18. -
Workflow Engines and Building a Domain Specific Language for Data Quality with Tom Baeyens
Közzétéve: 2023. 01. 04. -
Enabling Edge Workers, AI & ML, and The Future of Data Science with Matthew Rocklin
Közzétéve: 2022. 12. 14. -
OSPOs, Measuring Community Success, and Self Knowledge with Nithya Ruff
Közzétéve: 2022. 12. 07. -
IoT Databases, Digital Twins, and Real Holodecks with Jonathan Beri
Közzétéve: 2022. 11. 23. -
Healthcare Infrastructure, ALS Research and Reliable Data with Indu Navar
Közzétéve: 2022. 11. 09. -
Shifting Left on Data with DeVaris Brown, Tomer Shiran, and Erica Brescia
Közzétéve: 2022. 11. 02. -
Serial Entrepreneurship, Metadata Capture Systems, and Osquery with Tony Gauda
Közzétéve: 2022. 10. 26. -
Code Intelligence, GraphQL, and Closing the Remediation Gap with Beyang Liu
Közzétéve: 2022. 10. 12. -
Stream Processing, Observability, and the User Experience with Eric Sammer
Közzétéve: 2022. 09. 28. -
Season 3 Compressed Edition with Sam and Audra
Közzétéve: 2022. 07. 20. -
Accelerating Computation, Machine Learning, and Data Mesh with Sophie Watson
Közzétéve: 2022. 07. 06. -
Democratization and Cognition with Margot Gerritsen, Rachel Chalmers, and Patricia Boswell
Közzétéve: 2022. 06. 29. -
Vector Search, the AI Stack and more with Bob van Luijt
Közzétéve: 2022. 06. 22. -
Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin
Közzétéve: 2022. 06. 08. -
Data Observability with Barr Moses, Einat Orr, and Shinji Kim
Közzétéve: 2022. 06. 01. -
Apache Pinot and Real-Time Analytics with Neha Pawar
Közzétéve: 2022. 05. 25. -
Real-Time Data, Enabling Developers, and User Experience with DeVaris Brown
Közzétéve: 2022. 05. 11.
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.