Open||Source||Data
A podcast by Charna Parkey
104 Episodio
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FMOps and a Founders Automated Future with Jaya Gupta
Pubblicato: 28/06/2023 -
MLOPs: Privacy, Security, Cost, and Latency - a Sneak Peek with Bart Farrell
Pubblicato: 14/06/2023 -
Web3 and Putting Reputation on Code with ML with Omoju Miller
Pubblicato: 31/05/2023 -
The Human Right to Privacy and Caring About UX Design with Yuliia Tkachova
Pubblicato: 17/05/2023 -
Determinism in Complex Environments and Workflow Services with Maxim Fateev
Pubblicato: 03/05/2023 -
The AI-Native Stack in Practice with Charna Parkey and Sam Bean
Pubblicato: 15/03/2023 -
The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik
Pubblicato: 01/03/2023 -
Special Episode: Data on Kubernetes and Cassandra Forward with Patrick McFadin
Pubblicato: 22/02/2023 -
Making Graph Data Easier with Open Initiatives with Denise Gosnell
Pubblicato: 15/02/2023 -
Advising Big Data and The Future of AI/ML with Ben Lorica
Pubblicato: 01/02/2023 -
Functional Programming and an Ideal Data Stack Building Experience with Holden Karau
Pubblicato: 18/01/2023 -
Workflow Engines and Building a Domain Specific Language for Data Quality with Tom Baeyens
Pubblicato: 04/01/2023 -
Enabling Edge Workers, AI & ML, and The Future of Data Science with Matthew Rocklin
Pubblicato: 14/12/2022 -
OSPOs, Measuring Community Success, and Self Knowledge with Nithya Ruff
Pubblicato: 07/12/2022 -
IoT Databases, Digital Twins, and Real Holodecks with Jonathan Beri
Pubblicato: 23/11/2022 -
Healthcare Infrastructure, ALS Research and Reliable Data with Indu Navar
Pubblicato: 09/11/2022 -
Shifting Left on Data with DeVaris Brown, Tomer Shiran, and Erica Brescia
Pubblicato: 02/11/2022 -
Serial Entrepreneurship, Metadata Capture Systems, and Osquery with Tony Gauda
Pubblicato: 26/10/2022 -
Code Intelligence, GraphQL, and Closing the Remediation Gap with Beyang Liu
Pubblicato: 12/10/2022 -
Stream Processing, Observability, and the User Experience with Eric Sammer
Pubblicato: 28/09/2022
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.
