Open||Source||Data
En podkast av Charna Parkey - Tirsdager
Kategorier:
89 Episoder
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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 -
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
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.