Open||Source||Data
A podcast by Charna Parkey
104 Episodes
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Eliminating AI Bias Through Inclusive Data Annotation with Andrea Brown
Published: 6/18/2024 -
Regulation's Role in Driving Responsible AI with Asa Whillock
Published: 6/4/2024 -
Transforming Client Experience with AI with Robbi Armstrong
Published: 5/21/2024 -
Navigating Open Source Talent, AI & Policy Challenges with Amanda Brock
Published: 5/7/2024 -
Using AI to Impact Performance Feedback Equity with Tacita Morway
Published: 4/23/2024 -
The Ethical Path to High-Quality AI Data with Fabiana Clemente
Published: 4/9/2024 -
Disrupting Data Analysis with Avi Press
Published: 3/26/2024 -
Tech, Trust, and Transformation with Paula Paul
Published: 3/12/2024 -
An Innovative Approach to AI & NLP with Milos Rusic
Published: 2/27/2024 -
New Beginnings: Open||Source||Data in Transition
Published: 12/20/2023 -
The Intersection of Open Source and AI with Stefano Maffulli & Stephen O’Grady
Published: 12/13/2023 -
Throwback: The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik
Published: 11/15/2023 -
How We Should Think About Data Reliability for Our LLMs with Mona Rakibe
Published: 11/1/2023 -
Throwback: Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin
Published: 10/18/2023 -
Reframing Machine Learning and AI-Assisted Development with Jorge Torres
Published: 9/27/2023 -
A Sam Ramji Feature: The Evolution of Open Source, Kubernetes, and AI's Forward Journey
Published: 9/6/2023 -
The Importance of Open Source Data for Generative AI, Now and in the Future with Abby Kearns
Published: 8/23/2023 -
The Value of Reproducibility and Ease of AI Deployment with Daniel Lenton
Published: 8/9/2023 -
ML Engineering Teams and Niche Chat Bot Experiences with Demetrios Brinkmann
Published: 7/26/2023 -
Building With Trust, Inspiration, and Reputation with Jaya Gupta, Yuliia Tkachova, and Omoju Miller
Published: 7/12/2023
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.
