Open||Source||Data

A podcast by Charna Parkey - Marți

96 Episoade

Making Graph Data Easier with Open Initiatives with Denise Gosnell
Publicat: 15.02.2023
Advising Big Data and The Future of AI/ML with Ben Lorica
Publicat: 01.02.2023
Functional Programming and an Ideal Data Stack Building Experience with Holden Karau
Publicat: 18.01.2023
Workflow Engines and Building a Domain Specific Language for Data Quality with Tom Baeyens
Publicat: 04.01.2023
Enabling Edge Workers, AI & ML, and The Future of Data Science with Matthew Rocklin
Publicat: 14.12.2022
OSPOs, Measuring Community Success, and Self Knowledge with Nithya Ruff
Publicat: 07.12.2022
IoT Databases, Digital Twins, and Real Holodecks with Jonathan Beri
Publicat: 23.11.2022
Healthcare Infrastructure, ALS Research and Reliable Data with Indu Navar
Publicat: 09.11.2022
Shifting Left on Data with DeVaris Brown, Tomer Shiran, and Erica Brescia
Publicat: 02.11.2022
Serial Entrepreneurship, Metadata Capture Systems, and Osquery with Tony Gauda
Publicat: 26.10.2022
Code Intelligence, GraphQL, and Closing the Remediation Gap with Beyang Liu
Publicat: 12.10.2022
Stream Processing, Observability, and the User Experience with Eric Sammer
Publicat: 28.09.2022
Season 3 Compressed Edition with Sam and Audra
Publicat: 20.07.2022
Accelerating Computation, Machine Learning, and Data Mesh with Sophie Watson
Publicat: 06.07.2022
Democratization and Cognition with Margot Gerritsen, Rachel Chalmers, and Patricia Boswell
Publicat: 29.06.2022
Vector Search, the AI Stack and more with Bob van Luijt
Publicat: 22.06.2022
Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin
Publicat: 08.06.2022
Data Observability with Barr Moses, Einat Orr, and Shinji Kim
Publicat: 01.06.2022
Apache Pinot and Real-Time Analytics with Neha Pawar
Publicat: 25.05.2022
Real-Time Data, Enabling Developers, and User Experience with DeVaris Brown
Publicat: 11.05.2022

3 / 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

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

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