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