The Data Exchange Podcast: Nicolas Hohn on challenges and best practices for using RL and machine learning in the enterprise.
How Companies Are Investing in AI Risk and Liability Minimization
The Data Exchange Podcast: Andrew Burt on the state of AI risk mitigation and responsible AI.
The Future of Machine Learning Lies in Better Abstractions
The Data Exchange Podcast: Travis Addair on how higher levels of abstractions enable non-experts to build efficient machine learning models.
Why You Should Optimize Your Deep Learning Inference Platform
The Data Exchange Podcast: Yonatan Geifman and Ran El-Yaniv on the benefits that accrue from using an inference acceleration platform.
AI Beyond Automation
The Data Exchange Podcast: Jerry Overton on building an Artificial Intelligence Center of Excellence to incubate serious AI talent.
Injecting Software Engineering Practices and Rigor into Data Governance
The Data Exchange Podcast: Steve Touw on why data governance needs to go from the boardroom into code.
Building a data store for unstructured data and deep learning applications
The Data Exchange Podcast: Davit Buniatyan on tensorial data stores optimized for deep learning.
How Technology Companies Are Using Ray
The Data Exchange Podcast: Zhe Zhang describes how companies are using Ray in large-scale production applications.
Data quality is key to great AI products and services
The Data Exchange Podcast: Abe Gong on building tools that help teams improve and maintain data quality.
Machine Learning in Healthcare
The Data Exchange Podcast: Parisa Rashidi on deep learning, Responsible AI, and MLOps in healthcare.