Open||Source||Data
En podcast af Charna Parkey - Tirsdage
96 Episoder
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Making Graph Data Easier with Open Initiatives with Denise Gosnell
Udgivet: 15.2.2023 -
Advising Big Data and The Future of AI/ML with Ben Lorica
Udgivet: 1.2.2023 -
Functional Programming and an Ideal Data Stack Building Experience with Holden Karau
Udgivet: 18.1.2023 -
Workflow Engines and Building a Domain Specific Language for Data Quality with Tom Baeyens
Udgivet: 4.1.2023 -
Enabling Edge Workers, AI & ML, and The Future of Data Science with Matthew Rocklin
Udgivet: 14.12.2022 -
OSPOs, Measuring Community Success, and Self Knowledge with Nithya Ruff
Udgivet: 7.12.2022 -
IoT Databases, Digital Twins, and Real Holodecks with Jonathan Beri
Udgivet: 23.11.2022 -
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
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.