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Most algorithms reason by applying knowledge expressed as rules and generate high predictive power for problems that are well understood and problems with comprehensive samplings of data. What happens when you have knowledge with exceptions, incomplete data, error-ridden data, or a changing environment? How do you reason with uncertainty?
Come find out how Boeing is uncovering and approaching these types of problems and generating actionable insights using Machine Learning and Artificial Intelligence.