Open||Source||Data
En podcast af Charna Parkey - Tirsdage
Kategorier:
89 Episoder
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A Sam Ramji Feature: The Evolution of Open Source, Kubernetes, and AI's Forward Journey
Udgivet: 6.9.2023 -
The Importance of Open Source Data for Generative AI, Now and in the Future with Abby Kearns
Udgivet: 23.8.2023 -
The Value of Reproducibility and Ease of AI Deployment with Daniel Lenton
Udgivet: 9.8.2023 -
ML Engineering Teams and Niche Chat Bot Experiences with Demetrios Brinkmann
Udgivet: 26.7.2023 -
Building With Trust, Inspiration, and Reputation with Jaya Gupta, Yuliia Tkachova, and Omoju Miller
Udgivet: 12.7.2023 -
FMOps and a Founders Automated Future with Jaya Gupta
Udgivet: 28.6.2023 -
MLOPs: Privacy, Security, Cost, and Latency - a Sneak Peek with Bart Farrell
Udgivet: 14.6.2023 -
Web3 and Putting Reputation on Code with ML with Omoju Miller
Udgivet: 31.5.2023 -
The Human Right to Privacy and Caring About UX Design with Yuliia Tkachova
Udgivet: 17.5.2023 -
Determinism in Complex Environments and Workflow Services with Maxim Fateev
Udgivet: 3.5.2023 -
The AI-Native Stack in Practice with Charna Parkey and Sam Bean
Udgivet: 15.3.2023 -
The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik
Udgivet: 1.3.2023 -
Special Episode: Data on Kubernetes and Cassandra Forward with Patrick McFadin
Udgivet: 22.2.2023 -
Making Graph Data Easier with Open Initiatives with Denise Gosnell
Udgivet: 15.2.2023 -
Advising Big Data and The Future of AI/ML with Ben Lorica
Udgivet: 1.2.2023 -
Functional Programming and an Ideal Data Stack Building Experience with Holden Karau
Udgivet: 18.1.2023 -
Workflow Engines and Building a Domain Specific Language for Data Quality with Tom Baeyens
Udgivet: 4.1.2023 -
Enabling Edge Workers, AI & ML, and The Future of Data Science with Matthew Rocklin
Udgivet: 14.12.2022 -
OSPOs, Measuring Community Success, and Self Knowledge with Nithya Ruff
Udgivet: 7.12.2022 -
IoT Databases, Digital Twins, and Real Holodecks with Jonathan Beri
Udgivet: 23.11.2022
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.