Open||Source||Data
Podcast készítő Charna Parkey - Keddek

Kategóriák:
91 Epizód
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Throwback: Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin
Közzétéve: 2023. 10. 18. -
Reframing Machine Learning and AI-Assisted Development with Jorge Torres
Közzétéve: 2023. 09. 27. -
A Sam Ramji Feature: The Evolution of Open Source, Kubernetes, and AI's Forward Journey
Közzétéve: 2023. 09. 06. -
The Importance of Open Source Data for Generative AI, Now and in the Future with Abby Kearns
Közzétéve: 2023. 08. 23. -
The Value of Reproducibility and Ease of AI Deployment with Daniel Lenton
Közzétéve: 2023. 08. 09. -
ML Engineering Teams and Niche Chat Bot Experiences with Demetrios Brinkmann
Közzétéve: 2023. 07. 26. -
Building With Trust, Inspiration, and Reputation with Jaya Gupta, Yuliia Tkachova, and Omoju Miller
Közzétéve: 2023. 07. 12. -
FMOps and a Founders Automated Future with Jaya Gupta
Közzétéve: 2023. 06. 28. -
MLOPs: Privacy, Security, Cost, and Latency - a Sneak Peek with Bart Farrell
Közzétéve: 2023. 06. 14. -
Web3 and Putting Reputation on Code with ML with Omoju Miller
Közzétéve: 2023. 05. 31. -
The Human Right to Privacy and Caring About UX Design with Yuliia Tkachova
Közzétéve: 2023. 05. 17. -
Determinism in Complex Environments and Workflow Services with Maxim Fateev
Közzétéve: 2023. 05. 03. -
The AI-Native Stack in Practice with Charna Parkey and Sam Bean
Közzétéve: 2023. 03. 15. -
The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik
Közzétéve: 2023. 03. 01. -
Special Episode: Data on Kubernetes and Cassandra Forward with Patrick McFadin
Közzétéve: 2023. 02. 22. -
Making Graph Data Easier with Open Initiatives with Denise Gosnell
Közzétéve: 2023. 02. 15. -
Advising Big Data and The Future of AI/ML with Ben Lorica
Közzétéve: 2023. 02. 01. -
Functional Programming and an Ideal Data Stack Building Experience with Holden Karau
Közzétéve: 2023. 01. 18. -
Workflow Engines and Building a Domain Specific Language for Data Quality with Tom Baeyens
Közzétéve: 2023. 01. 04. -
Enabling Edge Workers, AI & ML, and The Future of Data Science with Matthew Rocklin
Közzétéve: 2022. 12. 14.
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.