Open||Source||Data

A podcast by Charna Parkey - Marți

96 Episoade

Data Meshes, Fabrics, and Discovery with Zhamak Dehghani, David Thomas, and Shirshanka Das
Publicat: 04.05.2022
Investing in Communities, Differentiating, and Trusting Your Gut with Erica Brescia
Publicat: 27.04.2022
Data on Kubernetes with Kelsey Hightower, Lachlan Evenson, and Patrick McFadin
Publicat: 20.04.2022
Deep Fakes, Responsible Data Science, and Trust with David Danks
Publicat: 13.04.2022
Cloud Innovation, Analytics, and Data Transformation with Monica Kumar
Publicat: 30.03.2022
Data Lakehouses, Interoperability, and Accessibility with Tomer Shiran
Publicat: 16.03.2022
Interoperability, Governance, and Divergent Teams with Prukalpa Sankar
Publicat: 02.03.2022
Trust, Automation, and Trade-Offs with Joseph Jacks
Publicat: 16.02.2022
Open Source, Adoptability, and Name Changes with Martin Traverso
Publicat: 02.02.2022
Season Two Finale and Recap with Open||Source||Data Producer Audra Montenegro
Publicat: 29.10.2021
Embeddings, Feature stores, and MLOps with Simba Khadder
Publicat: 14.10.2021
Abundance, Metadata, and Automation with Mark Grover
Publicat: 30.09.2021
Metadata, Communities, and Architecture with Shirshanka Das
Publicat: 16.09.2021
Data Management Pain Points and Future Solutions for Data Discovery
Publicat: 02.09.2021
ModelOps, ML Monitoring, and Busy Humans with Elena Samuylova
Publicat: 19.08.2021
Cloud-Native, Open-Source, and Collaborative with Eric Brewer and Melody Meckfessel
Publicat: 05.08.2021
MLOps, AIOps, and Data Startups with Jocelyn Goldfein
Publicat: 22.07.2021
Git-Like Branch and Merge for Data with Einat Orr
Publicat: 08.07.2021
Data Discoverability, Products, and User Diversity with Shinji Kim
Publicat: 24.06.2021
Data Observability, Customer-Led Growth, and Confidence with Barr Moses
Publicat: 10.06.2021

4 / 5

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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96 Episoade

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

Metadata, Communities, and Architecture with Shirshanka Das

Data Management Pain Points and Future Solutions for Data Discovery

ModelOps, ML Monitoring, and Busy Humans with Elena Samuylova

Cloud-Native, Open-Source, and Collaborative with Eric Brewer and Melody Meckfessel

MLOps, AIOps, and Data Startups with Jocelyn Goldfein

Git-Like Branch and Merge for Data with Einat Orr

Data Discoverability, Products, and User Diversity with Shinji Kim

Data Observability, Customer-Led Growth, and Confidence with Barr Moses