Steven Flinn

Steven Flinn is an author, inventor, and founder and CEO of ManyWorlds, Inc., which delivers consultative value to clients at the intersection of strategy, decision science, and technology, as well as designing patented machine learning-based solutions. Mr. Flinn has extensive advisory experience with Global 1000 enterprises, as well as selected high-impact start-ups, based on his book, Optimizing Data-to-Learning-to-Action, which demonstrates how organizations can achieve peak performance through targeted enhancements in data-to-learning-to-action processes, and his previous book, The Learning Layer, which predicted, and established the imperative for, applying machine learning-based capabilities in the enterprise. Mr. Flinn has been awarded over 70 patents for his inventions in the field of machine learning and its applications including foundational aspects of recommender systems such as solutions to the “filter bubble” problem, inferential people matching, and explainable AI, as well as core aspects of autoML and next generation systems that can imagine and automatically act on their imaginative ideas. Prior to ManyWorlds, he was a Chief Information Officer and Vice President of IT Strategy globally at Royal Dutch Shell. His formal education includes a graduate degree from Northwestern University’s Kellogg School of Business, a graduate degree from Stanford University’s School of Engineering in decision science/mathematical modeling, and an undergraduate double major degree in economics and mathematics.