Open||Source||Data

En podkast av Charna Parkey

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104 Episoder

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
Healthcare Infrastructure, ALS Research and Reliable Data with Indu Navar
Publisert: 9.11.2022
Shifting Left on Data with DeVaris Brown, Tomer Shiran, and Erica Brescia
Publisert: 2.11.2022
Serial Entrepreneurship, Metadata Capture Systems, and Osquery with Tony Gauda
Publisert: 26.10.2022
Code Intelligence, GraphQL, and Closing the Remediation Gap with Beyang Liu
Publisert: 12.10.2022
Stream Processing, Observability, and the User Experience with Eric Sammer
Publisert: 28.9.2022

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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.

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104 Episoder

FMOps and a Founders Automated Future with Jaya Gupta

MLOPs: Privacy, Security, Cost, and Latency - a Sneak Peek with Bart Farrell

Web3 and Putting Reputation on Code with ML with Omoju Miller

The Human Right to Privacy and Caring About UX Design with Yuliia Tkachova

Determinism in Complex Environments and Workflow Services with Maxim Fateev

The AI-Native Stack in Practice with Charna Parkey and Sam Bean

The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik

Special Episode: Data on Kubernetes and Cassandra Forward with Patrick McFadin

Making Graph Data Easier with Open Initiatives with Denise Gosnell

Advising Big Data and The Future of AI/ML with Ben Lorica

Functional Programming and an Ideal Data Stack Building Experience with Holden Karau

Workflow Engines and Building a Domain Specific Language for Data Quality with Tom Baeyens

Enabling Edge Workers, AI & ML, and The Future of Data Science with Matthew Rocklin

OSPOs, Measuring Community Success, and Self Knowledge with Nithya Ruff

IoT Databases, Digital Twins, and Real Holodecks with Jonathan Beri

Healthcare Infrastructure, ALS Research and Reliable Data with Indu Navar

Shifting Left on Data with DeVaris Brown, Tomer Shiran, and Erica Brescia

Serial Entrepreneurship, Metadata Capture Systems, and Osquery with Tony Gauda

Code Intelligence, GraphQL, and Closing the Remediation Gap with Beyang Liu

Stream Processing, Observability, and the User Experience with Eric Sammer