The Data Exchange Podcast: Denise Gosnell on tools for unlocking the interconnectedness of your data.
Machines for unlocking the deluge of COVID-19 papers, articles, and conversations
The Data Exchange Podcast: Amy Heineike on deploying language technologies to a wide range of domains.
Designing machine learning models for both consumer and industrial applications
The Data Exchange Podcast: Christopher Nguyen on taking a relationship-centric approach to designing data applications.
Building open source developer tools for language applications
The Data Exchange Podcast: Matthew Honnibal on spaCy, Thinc, Prodigy and natural language technologies.
Viewing machine learning and data science applications as sociotechnical systems
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.