
Rachel Wagner-Kaiser, Ph.D., is a director and data scientist at KPMG. She has 15 years of experience in data and AI, and specializes in building AI and natural language processing solutions for real-world problems constrained by limited or messy data. Rachel works across industries to lead KPMG’s technical teams to design, build, deploy, and maintain NLP solutions. Her expertise has helped companies organize and decode their unstructured data to solve a variety of business problems and drive value through automation. She is also author of the upcoming book “Teaching Computers to Read”.