Open||Source||Data

91 Episodes

1. Throwback: Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin

   Published: 10/18/2023
2. Reframing Machine Learning and AI-Assisted Development with Jorge Torres

   Published: 9/27/2023
3. A Sam Ramji Feature: The Evolution of Open Source, Kubernetes, and AI's Forward Journey

   Published: 9/6/2023
4. The Importance of Open Source Data for Generative AI, Now and in the Future with Abby Kearns

   Published: 8/23/2023
5. The Value of Reproducibility and Ease of AI Deployment with Daniel Lenton

   Published: 8/9/2023
6. ML Engineering Teams and Niche Chat Bot Experiences with Demetrios Brinkmann

   Published: 7/26/2023
7. Building With Trust, Inspiration, and Reputation with Jaya Gupta, Yuliia Tkachova, and Omoju Miller

   Published: 7/12/2023
8. FMOps and a Founders Automated Future with Jaya Gupta

   Published: 6/28/2023
9. MLOPs: Privacy, Security, Cost, and Latency - a Sneak Peek with Bart Farrell

   Published: 6/14/2023
10. Web3 and Putting Reputation on Code with ML with Omoju Miller

    Published: 5/31/2023
11. The Human Right to Privacy and Caring About UX Design with Yuliia Tkachova

    Published: 5/17/2023
12. Determinism in Complex Environments and Workflow Services with Maxim Fateev

    Published: 5/3/2023
13. The AI-Native Stack in Practice with Charna Parkey and Sam Bean

    Published: 3/15/2023
14. The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik

    Published: 3/1/2023
15. Special Episode: Data on Kubernetes and Cassandra Forward with Patrick McFadin

    Published: 2/22/2023
16. Making Graph Data Easier with Open Initiatives with Denise Gosnell

    Published: 2/15/2023
17. Advising Big Data and The Future of AI/ML with Ben Lorica

    Published: 2/1/2023
18. Functional Programming and an Ideal Data Stack Building Experience with Holden Karau

    Published: 1/18/2023
19. Workflow Engines and Building a Domain Specific Language for Data Quality with Tom Baeyens

    Published: 1/4/2023
20. Enabling Edge Workers, AI & ML, and The Future of Data Science with Matthew Rocklin

    Published: 12/14/2022