Open||Source||Data
Een podcast door Charna Parkey
104 Afleveringen
-
FMOps and a Founders Automated Future with Jaya Gupta
Gepubliceerd: 28-6-2023 -
MLOPs: Privacy, Security, Cost, and Latency - a Sneak Peek with Bart Farrell
Gepubliceerd: 14-6-2023 -
Web3 and Putting Reputation on Code with ML with Omoju Miller
Gepubliceerd: 31-5-2023 -
The Human Right to Privacy and Caring About UX Design with Yuliia Tkachova
Gepubliceerd: 17-5-2023 -
Determinism in Complex Environments and Workflow Services with Maxim Fateev
Gepubliceerd: 3-5-2023 -
The AI-Native Stack in Practice with Charna Parkey and Sam Bean
Gepubliceerd: 15-3-2023 -
The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik
Gepubliceerd: 1-3-2023 -
Special Episode: Data on Kubernetes and Cassandra Forward with Patrick McFadin
Gepubliceerd: 22-2-2023 -
Making Graph Data Easier with Open Initiatives with Denise Gosnell
Gepubliceerd: 15-2-2023 -
Advising Big Data and The Future of AI/ML with Ben Lorica
Gepubliceerd: 1-2-2023 -
Functional Programming and an Ideal Data Stack Building Experience with Holden Karau
Gepubliceerd: 18-1-2023 -
Workflow Engines and Building a Domain Specific Language for Data Quality with Tom Baeyens
Gepubliceerd: 4-1-2023 -
Enabling Edge Workers, AI & ML, and The Future of Data Science with Matthew Rocklin
Gepubliceerd: 14-12-2022 -
OSPOs, Measuring Community Success, and Self Knowledge with Nithya Ruff
Gepubliceerd: 7-12-2022 -
IoT Databases, Digital Twins, and Real Holodecks with Jonathan Beri
Gepubliceerd: 23-11-2022 -
Healthcare Infrastructure, ALS Research and Reliable Data with Indu Navar
Gepubliceerd: 9-11-2022 -
Shifting Left on Data with DeVaris Brown, Tomer Shiran, and Erica Brescia
Gepubliceerd: 2-11-2022 -
Serial Entrepreneurship, Metadata Capture Systems, and Osquery with Tony Gauda
Gepubliceerd: 26-10-2022 -
Code Intelligence, GraphQL, and Closing the Remediation Gap with Beyang Liu
Gepubliceerd: 12-10-2022 -
Stream Processing, Observability, and the User Experience with Eric Sammer
Gepubliceerd: 28-9-2022
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.
