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