Advancing Machine Learning at Capital One with Dave Castillo - #328

This article from Practical AI features an interview with Dave Castillo, Managing VP for ML at Capital One. The focus is on Capital One's journey in adopting and scaling machine learning across the enterprise. The discussion covers the transition from a research-focused approach to a company-wide implementation, highlighting platform development, unexpected use cases, and challenges encountered. The interview promises insights into Capital One's ML ecosystem, its design philosophy, and the hurdles faced in building a comprehensive platform. The article is likely to be of interest to those involved in ML, particularly those working on enterprise-level deployments.

• •Capital One is transitioning from lab-based ML to enterprise-wide adoption.
• •The article explores the platform ecosystem and design vision.
• •The interview discusses pain points in building the ML platform.