Open||Source||Data
Un pódcast de Charna Parkey - Martes
96 Episodo
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Making Graph Data Easier with Open Initiatives with Denise Gosnell
Publicado: 15/2/2023 -
Advising Big Data and The Future of AI/ML with Ben Lorica
Publicado: 1/2/2023 -
Functional Programming and an Ideal Data Stack Building Experience with Holden Karau
Publicado: 18/1/2023 -
Workflow Engines and Building a Domain Specific Language for Data Quality with Tom Baeyens
Publicado: 4/1/2023 -
Enabling Edge Workers, AI & ML, and The Future of Data Science with Matthew Rocklin
Publicado: 14/12/2022 -
OSPOs, Measuring Community Success, and Self Knowledge with Nithya Ruff
Publicado: 7/12/2022 -
IoT Databases, Digital Twins, and Real Holodecks with Jonathan Beri
Publicado: 23/11/2022 -
Healthcare Infrastructure, ALS Research and Reliable Data with Indu Navar
Publicado: 9/11/2022 -
Shifting Left on Data with DeVaris Brown, Tomer Shiran, and Erica Brescia
Publicado: 2/11/2022 -
Serial Entrepreneurship, Metadata Capture Systems, and Osquery with Tony Gauda
Publicado: 26/10/2022 -
Code Intelligence, GraphQL, and Closing the Remediation Gap with Beyang Liu
Publicado: 12/10/2022 -
Stream Processing, Observability, and the User Experience with Eric Sammer
Publicado: 28/9/2022 -
Season 3 Compressed Edition with Sam and Audra
Publicado: 20/7/2022 -
Accelerating Computation, Machine Learning, and Data Mesh with Sophie Watson
Publicado: 6/7/2022 -
Democratization and Cognition with Margot Gerritsen, Rachel Chalmers, and Patricia Boswell
Publicado: 29/6/2022 -
Vector Search, the AI Stack and more with Bob van Luijt
Publicado: 22/6/2022 -
Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin
Publicado: 8/6/2022 -
Data Observability with Barr Moses, Einat Orr, and Shinji Kim
Publicado: 1/6/2022 -
Apache Pinot and Real-Time Analytics with Neha Pawar
Publicado: 25/5/2022 -
Real-Time Data, Enabling Developers, and User Experience with DeVaris Brown
Publicado: 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.