Hume Seminar Series: MLOps: Machine Learning at Speed and Scale with Amazon Web Services

About the Event

AWS is the largest AI provider in the U.S. In the private sector we provide AI/ML services to companies like Facebook, NFL and Netflix. We’re seeing the largest commercial AI companies build their production systems on AWS, with a keen focus on MLOps and toolchain consolidation. AWS has also partnered with public sector entities over the last decade to bring these lessons learned to innovate new methodologies around AI governance, assurance, and scaling ML organizations to better support the organization. In
this 60 minute session, learn how AWS thinks about machine learning and the strategies that can be leveraged to accelerate and scale ML programs across multi‐disciplinary teams.

About the Speaker

Mr. Joseph Risi

Joseph Risi is a Senior Solutions Architect Specialist in Artificial Intelligence & Machine Learning at AWS. Joseph brings over 13 years of experience in supporting the public sector’s defense, intelligence, and civilian agencies, both domestically and abroad. Prior to joining AWS, Joseph worked at BAE Systems and Booz Allen Hamilton where he supported various application development and data science teams, to include an overseas assignment in the United Kingdom. In conjunction with his early career at BAE Systems, Joseph completed his Bachelors of Science and Masters of Science in Information Technology at George Mason University, then later completed his Masters of Business Administration also at George
Mason University. Outside of work, Joseph has a passion for mentoring and teaching, serving as a mentor on FIRST Robotics teams for several years and as an adjunct professor at George Mason University for seven years.