Open||Source||Data

En podkast av Charna Parkey

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104 Episoder

Season 3 Compressed Edition with Sam and Audra
Publisert: 20.7.2022
Accelerating Computation, Machine Learning, and Data Mesh with Sophie Watson
Publisert: 6.7.2022
Democratization and Cognition with Margot Gerritsen, Rachel Chalmers, and Patricia Boswell
Publisert: 29.6.2022
Vector Search, the AI Stack and more with Bob van Luijt
Publisert: 22.6.2022
Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin
Publisert: 8.6.2022
Data Observability with Barr Moses, Einat Orr, and Shinji Kim
Publisert: 1.6.2022
Apache Pinot and Real-Time Analytics with Neha Pawar
Publisert: 25.5.2022
Real-Time Data, Enabling Developers, and User Experience with DeVaris Brown
Publisert: 11.5.2022
Data Meshes, Fabrics, and Discovery with Zhamak Dehghani, David Thomas, and Shirshanka Das
Publisert: 4.5.2022
Investing in Communities, Differentiating, and Trusting Your Gut with Erica Brescia
Publisert: 27.4.2022
Data on Kubernetes with Kelsey Hightower, Lachlan Evenson, and Patrick McFadin
Publisert: 20.4.2022
Deep Fakes, Responsible Data Science, and Trust with David Danks
Publisert: 13.4.2022
Cloud Innovation, Analytics, and Data Transformation with Monica Kumar
Publisert: 30.3.2022
Data Lakehouses, Interoperability, and Accessibility with Tomer Shiran
Publisert: 16.3.2022
Interoperability, Governance, and Divergent Teams with Prukalpa Sankar
Publisert: 2.3.2022
Trust, Automation, and Trade-Offs with Joseph Jacks
Publisert: 16.2.2022
Open Source, Adoptability, and Name Changes with Martin Traverso
Publisert: 2.2.2022
Season Two Finale and Recap with Open||Source||Data Producer Audra Montenegro
Publisert: 29.10.2021
Embeddings, Feature stores, and MLOps with Simba Khadder
Publisert: 14.10.2021
Abundance, Metadata, and Automation with Mark Grover
Publisert: 30.9.2021

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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

Season 3 Compressed Edition with Sam and Audra

Accelerating Computation, Machine Learning, and Data Mesh with Sophie Watson

Democratization and Cognition with Margot Gerritsen, Rachel Chalmers, and Patricia Boswell

Vector Search, the AI Stack and more with Bob van Luijt

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

Data Observability with Barr Moses, Einat Orr, and Shinji Kim

Apache Pinot and Real-Time Analytics with Neha Pawar

Real-Time Data, Enabling Developers, and User Experience with DeVaris Brown

Data Meshes, Fabrics, and Discovery with Zhamak Dehghani, David Thomas, and Shirshanka Das

Investing in Communities, Differentiating, and Trusting Your Gut with Erica Brescia

Data on Kubernetes with Kelsey Hightower, Lachlan Evenson, and Patrick McFadin

Deep Fakes, Responsible Data Science, and Trust with David Danks

Cloud Innovation, Analytics, and Data Transformation with Monica Kumar

Data Lakehouses, Interoperability, and Accessibility with Tomer Shiran

Interoperability, Governance, and Divergent Teams with Prukalpa Sankar

Trust, Automation, and Trade-Offs with Joseph Jacks

Open Source, Adoptability, and Name Changes with Martin Traverso

Season Two Finale and Recap with Open||Source||Data Producer Audra Montenegro

Embeddings, Feature stores, and MLOps with Simba Khadder

Abundance, Metadata, and Automation with Mark Grover