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