Sep 23–26, 2019
David Castillo

David Castillo
Managing Vice President & Head of the Center for Machine Learning, Capital One

Website

Dave Castillo joined Capital One in 2018 and is a Managing Vice President in the Center for Machine Learning, an in-house center of excellence for machine learning, where he leads AI and machine learning initiatives in research and consulting across lines of business, as well as the development of tools, technologies, frameworks, and partnerships with industry and academia.

Prior to joining Capital One, Dave was Head of Data Science, Data Engineering, and Innovation for Early Warning where he was responsible for data ingestion, data transformation, profile assembly, feature extraction, and the development and deployment of machine learning models. Before Early Warning, Dave was CTO of Voltari, where he oversaw Cloud and Data Center Operations, Media Operations, Technology, Data Management Platform, and the Demand Side Platform (DSP) for real-time media buying and placement using automated self-training machine learning models. He also founded two startups specializing in automated predictive modeling for customer acquisition, retention, retargeting and segmentation in the digital and mobile marketing channels. He also held the position as Chief Software Engineer for Motorola’s IRIDIUM project and he began his career developing AI applications for NASA in vision, robotics, NLP, and case-based reasoning.

Dave holds a Ph.D., Masters, and Bachelor degrees in Engineering from University of Central Florida, Arizona State University, and the University of Arizona, respectively. He is also an active Adjunct Professor of Computer Science for the University of Maryland University College.

Sessions

1:15pm1:55pm Thursday, September 26, 2019
Location: 1E 10/11
Secondary topics:  Culture and Organization, Ethics
David Castillo (Capital One)
The head of Capital One's Center for Machine Learning will share best practices for building a Responsible AI program in the enterprise, from multidisciplinary internal working groups to research & development. Read more.

Contact us

confreg@oreilly.com

For conference registration information and customer service

partners@oreilly.com

For more information on community discounts and trade opportunities with O’Reilly conferences

strataconf@oreilly.com

For information on exhibiting or sponsoring a conference

Contact list

View a complete list of Strata Data Conference contacts