Center for Machine Learning at Capital One - Vision, Enablers & Research

Dallas AI
Dallas AI
Public group
Respond by
Wednesday, March 4, 2020
5:00 PM

Capital One Plano Conference Center

· Plano, TX

How to find us

Parking garage street address: 7941 Preston Rd Plano, TX 75024

Location image of event venue

Details

[masked]pm: Food & Networking[masked]pm: Main Talk (Dave Castillo, Paul Hurlocker & Bayan Bruss)[masked]pm: Wrap up

Join us for an exciting evening with the senior leadership at Capital One Center for Machine Learning (C4ML), an ML center of excellence developing next generation AI and ML solutions. Dave Castillo (Managing VP & Head of C4ML) will share his vision, enablers and importance of research behind the success of this center of excellence. In addition, Paul Hurlocker (VP-Platforms) will share his thoughts on platforms to democratize and accelerate ML adoption, and Bayan Bruss (Director-Research ) will talk about explainable AI, one of the research areas at C4ML. The talk is suitable for both technical as well as business audience.

About the speakers:

Dr. David Castillo
Dr. David (Dave) Castillo leads Capital One’s Center for Machine Learning and Emerging Technology (C4ML-ET). In this role Dave is responsible for driving excellence in Applied ML Research, University ML Research, ML technologies (tools and platforms), ML Consulting, and ML awareness within Capital One. Dave is a strong advocate of Responsible AI and has a keen interest in Automated Machine Learning and Timeseries ML.

For more than 25 years, Dr. Castillo has been involved with developing applications involving big data, artificial intelligence, machine learning, and large-scale distributed computing across a wide variety of industries. He has spent a great deal of time in Real-time ML for bidding on real-time auctions and delivering personalized advertising to online and mobile devices. He is a promoter of analyzing data streams “in flight” to extract meaningful content and for creating and delivering model features in near real-time. David is also experienced in developing and deploying fully automated self-learning models.

Dr. Castillo began his career developing artificial intelligence applications for NASA. He has since held positions as Chief Software Engineer for Motorola’s Iridium system, Chief Information Officer at KAST (an AI company), Chief Analytics Architect for Adenyo/Motricity, Chief Technology Officer at Voltari, and Chief Data Scientist for Early Warning Services. He has founded two startups in the areas of automated machine learning for online and mobile marketing and advertising.

Dr. Castillo holds a Bachelor’s in Engineering from the University of Arizona, a Master’s in Engineering from Arizona State University and earned a doctorate in Engineering from University of Central Florida. He is an active speaker and participant in industry events and an Adjunct Professor of Computer Science at the University of Maryland University College.

Paul Hurlocker
https://www.linkedin.com/in/paulhurlocker/

Bayan Bruss
https://www.linkedin.com/in/bayan-bruss/