Applying Natural Language Understanding to Complex Insurance Problem

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Insurance companies consume massive amounts of data via their underwriting, contracts, and claims processes. While this poses an ongoing challenge for insurers, they have found both opportunity and value in the variety of artificial intelligence (AI) technologies available to them. AI can include anything from image and voice recognition to robotics and predictive analytics, but it is natural language understanding (NLU) that has proven most applicable to the complex tasks associated with corporate and commercial insurance.