Open||Source||Data
Podcast autorstwa Charna Parkey - Wtorki
96 Odcinki
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Making Graph Data Easier with Open Initiatives with Denise Gosnell
Opublikowany: 15.02.2023 -
Advising Big Data and The Future of AI/ML with Ben Lorica
Opublikowany: 1.02.2023 -
Functional Programming and an Ideal Data Stack Building Experience with Holden Karau
Opublikowany: 18.01.2023 -
Workflow Engines and Building a Domain Specific Language for Data Quality with Tom Baeyens
Opublikowany: 4.01.2023 -
Enabling Edge Workers, AI & ML, and The Future of Data Science with Matthew Rocklin
Opublikowany: 14.12.2022 -
OSPOs, Measuring Community Success, and Self Knowledge with Nithya Ruff
Opublikowany: 7.12.2022 -
IoT Databases, Digital Twins, and Real Holodecks with Jonathan Beri
Opublikowany: 23.11.2022 -
Healthcare Infrastructure, ALS Research and Reliable Data with Indu Navar
Opublikowany: 9.11.2022 -
Shifting Left on Data with DeVaris Brown, Tomer Shiran, and Erica Brescia
Opublikowany: 2.11.2022 -
Serial Entrepreneurship, Metadata Capture Systems, and Osquery with Tony Gauda
Opublikowany: 26.10.2022 -
Code Intelligence, GraphQL, and Closing the Remediation Gap with Beyang Liu
Opublikowany: 12.10.2022 -
Stream Processing, Observability, and the User Experience with Eric Sammer
Opublikowany: 28.09.2022 -
Season 3 Compressed Edition with Sam and Audra
Opublikowany: 20.07.2022 -
Accelerating Computation, Machine Learning, and Data Mesh with Sophie Watson
Opublikowany: 6.07.2022 -
Democratization and Cognition with Margot Gerritsen, Rachel Chalmers, and Patricia Boswell
Opublikowany: 29.06.2022 -
Vector Search, the AI Stack and more with Bob van Luijt
Opublikowany: 22.06.2022 -
Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin
Opublikowany: 8.06.2022 -
Data Observability with Barr Moses, Einat Orr, and Shinji Kim
Opublikowany: 1.06.2022 -
Apache Pinot and Real-Time Analytics with Neha Pawar
Opublikowany: 25.05.2022 -
Real-Time Data, Enabling Developers, and User Experience with DeVaris Brown
Opublikowany: 11.05.2022
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.