To effectively implement anticipatory intelligence and predictive analytics, a solution must continue to learn and apply information from every data source. Transfer learning is one of the emerging tools that helps anticipatory intelligence algorithms take what they know from one situation and apply it to other situations – in other words, to make these systems smarter. In this session, Luminoso CEO Catherine Havasi will discuss how transfer learning can be applied to improve predictive analytics models across multiple languages and industries.