The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Delivering AI Systems in Highly Regulated Environments with Miriam Friedel - #653
Oct 30, 2023
Miriam Friedel, Senior Director of ML Engineering at Capital One, shares her insights on deploying AI tools in regulated environments. She discusses creating a culture of collaboration and the importance of standardized tooling. Miriam highlights strategies like using open-source tools for compliance and speed, and dives into the challenges of maintaining consistency across large organizations. Her thoughts on building a 'unicorn' team and making smart build vs. buy decisions for MLOps offer a fresh perspective on the future of enterprise AI.
44:05
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Quick takeaways
- Building standardized tooling and processes is crucial for delivering machine learning tools in highly regulated environments.
- Nurturing a culture of collaboration and diverse skill sets within ML engineering teams contributes to their success and effectiveness.
Deep dives
Building ML Engineering Tools at Capital One
Miriam Friedel, Senior Director of ML Engineering at Capital One, discusses her journey from theoretical physics to ML engineering. She highlights the importance of understanding mathematical concepts and ensuring accurate calculations in ML engineering. Miriam explains how her team at Capital One focuses on building tooling, libraries, and components to support data scientists and scale ML models effectively. She provides examples of tools they have developed, such as Rubicon for experiment tracking and Kubeflow pipeline components for data scientists unfamiliar with Kubeflow. Miriam also emphasizes the balance between enabling creativity and innovation while providing guidance and standardization within the ML engineering process.
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