Danny Smith
Danny Smith is AWS Principal Strategist for Artificial Intelligence and Machine Learning, with global responsibility for Automotive, Industrial, and Manufacturing Industries. He serves as a strategic advisor for customers at the intersection of artificial intelligence and digital transformation, helping them improve decision making by leveraging advanced algorithms and technology to improve outcomes. Lately most of his conversations are on democratizing machine learning and especially over the last 18+ months on the potential and reality of generative AI. Immediately prior to this role Danny led the launch of AWS’s no-code machine learning service Amazon SageMaker Canvas, aimed at democratizing machine learning for line-of-business users. Canvas has been the fastest growing ML service in Amazon history to date. His career focus has been on helping leaders make better decisions whether in the board room or on the shop floor using data and advanced algorithms, and has led advisory teams at Ceridian, SAS Institute, Oracle, and other companies. He started his career in the industrial supply chain space and continues to have a fondness for it, especially freight trains. Danny has a B.S. in Industrial Management from the Georgia Institute of Technology and a M.S. in Decision Sciences from Georgia State University.