Description: What pain points of customer experiences those startup companies address? How did they address? How they compete with bigger insurers? Their vision of future insurance

Description: The Future of Insurance is described, as seen by some heads of start-up FinTech companies.

Description: Natural Language Process (NLP) techniques can be used to find insights in large unstructured data sets and Word Embeddings are pervasive on a wide spectrum of NLP applications. These word representations improve downstream tasks such as Sentiment Analysis, Recommender System, and Topic Modeling. Learn how NLP transforms the Insurance Industry; and how word embeddings and pre-trained models improve the effectiveness and performance of NLP applications. NLP is increasing in importance for insurance companies. Additional application examples are available in session 36.

Description: Learn the fundamentals, promises and myths of blockchain technology; why it's important and relevant today, and how it's evolving our relationships with data, analytics and the science of product development and maintenance. Discuss examples and details with Susan Joseph, and Truman Esmond, VP Solutions and Partnerships for AAIS and Technical Lead for openIDL, AAIS's blockchain network for regulatory reporting.