Open||Source||Data
A podcast by Charna Parkey - Martedì
96 Episodio
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Making Graph Data Easier with Open Initiatives with Denise Gosnell
Pubblicato: 15/02/2023 -
Advising Big Data and The Future of AI/ML with Ben Lorica
Pubblicato: 01/02/2023 -
Functional Programming and an Ideal Data Stack Building Experience with Holden Karau
Pubblicato: 18/01/2023 -
Workflow Engines and Building a Domain Specific Language for Data Quality with Tom Baeyens
Pubblicato: 04/01/2023 -
Enabling Edge Workers, AI & ML, and The Future of Data Science with Matthew Rocklin
Pubblicato: 14/12/2022 -
OSPOs, Measuring Community Success, and Self Knowledge with Nithya Ruff
Pubblicato: 07/12/2022 -
IoT Databases, Digital Twins, and Real Holodecks with Jonathan Beri
Pubblicato: 23/11/2022 -
Healthcare Infrastructure, ALS Research and Reliable Data with Indu Navar
Pubblicato: 09/11/2022 -
Shifting Left on Data with DeVaris Brown, Tomer Shiran, and Erica Brescia
Pubblicato: 02/11/2022 -
Serial Entrepreneurship, Metadata Capture Systems, and Osquery with Tony Gauda
Pubblicato: 26/10/2022 -
Code Intelligence, GraphQL, and Closing the Remediation Gap with Beyang Liu
Pubblicato: 12/10/2022 -
Stream Processing, Observability, and the User Experience with Eric Sammer
Pubblicato: 28/09/2022 -
Season 3 Compressed Edition with Sam and Audra
Pubblicato: 20/07/2022 -
Accelerating Computation, Machine Learning, and Data Mesh with Sophie Watson
Pubblicato: 06/07/2022 -
Democratization and Cognition with Margot Gerritsen, Rachel Chalmers, and Patricia Boswell
Pubblicato: 29/06/2022 -
Vector Search, the AI Stack and more with Bob van Luijt
Pubblicato: 22/06/2022 -
Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin
Pubblicato: 08/06/2022 -
Data Observability with Barr Moses, Einat Orr, and Shinji Kim
Pubblicato: 01/06/2022 -
Apache Pinot and Real-Time Analytics with Neha Pawar
Pubblicato: 25/05/2022 -
Real-Time Data, Enabling Developers, and User Experience with DeVaris Brown
Pubblicato: 11/05/2022
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.