The Data Exchange Podcast: Chris Wiggins on training the next-generation of data scientists on ethics and fairness in ML.
Identifying and mitigating liabilities and risks associated with AI
The Data Exchange Podcast: Andrew Burt on the need for a law firm focused on AI compliance, governance, and incident…
How machine learning is being used in quantitative finance
The Data Exchange Podcast: Arun Verma on alternative data sources, machine learning, and model risk management.
Understanding machine learning model governance
The Data Exchange Podcast: Harish Doddi on building enterprise solutions for model operations and model governance.
Improving performance and scalability of data science libraries
The Data Exchange Podcast: Wes McKinney on the importance of having a shared infrastructure for data science.
Why TinyML will be huge
The Data Exchange Podcast: Pete Warden on the many applications of machine learning in embedded devices.
An open source platform for training deep learning models
The Data Exchange Podcast: Evan Sparks on accelerating the adoption of deep learning in the enterprise.
Algorithms that continually invent both problems and solutions
The Data Exchange Podcast: Kenneth Stanley on his work at Uber AI and starting a new group focused on open-endedness…
Computational Models and Simulations of Epidemic Infectious Diseases
The Data Exchange Podcast: Bruno Gonçalves on the world of epidemic models and the role they play in decision making.
Human-in-the-loop machine learning
The Data Exchange Podcast: Rob Munro on natural language technologies, and building products in the age of machine learning.