Читать книгу The Innovation Ultimatum - Steve Brown - Страница 30

Computers that understand human language perform many useful business tasks. Sentiment detection assesses text to determine if it conveys positive or negative emotion, for example, to highlight positive online product reviews or surface negative customer emails that require a swift response. NLU is also used to detect profanity, hate speech, threats, abuse, and other conversation that may be deemed inappropriate.

Natural language understanding is used to analyze documents and provide decision support. Scriptbook, a startup from Antwerp, Belgium, reviews movie screenplays to predict their likely box office failure or success. The software helps studios to make greenlight decisions on scripts. Scriptbook analyzed the scripts of 62 movies released in 2015 and 2016. Thirty of these movies were box office successes; 32 were failures and lost money. Scriptbook's AI correctly predicted all 30 of the box office hits and correctly called 22 of the movies that were duds. With 52 correct calls made on 62 movies, the AI scored far better than the Hollywood moguls had. Scriptbook also uses NLU to predict a film's likely MPAA rating, the likeability of characters, and the countries where a movie will find most success, all based on its script.

LawGeex, an Israeli company, uses natural language processing to automate the review of legal contracts and nondisclosure agreements. LawGeex challenged 20 U.S.-trained lawyers to identify legal issues in five real-life nondisclosure agreements (NDAs), faster than their AI. The test was overseen by an independent lawyer and performed with input from legal experts and law professors. The lawyers took an average of 92 minutes to review all five NDAs and achieved an average accuracy rate of 85%. The LawGeex AI scored an accuracy of 94%, equal to the best lawyer's score, and completed the entire task in just 26 seconds. Lawyers that I've told about this AI are generally delighted. Reviewing NDAs is not a favorite part of their work and they are excited to offload routine tasks and focus more time on higher value, higher revenue work.

Natural language understanding speeds data entry. AIs identify email addresses, physical addresses, dates of birth, and phone numbers from nonstandard forms, automatically. This technology, sometimes combined with handwriting recognition (thanks again, AI!), makes short work of data entry.

Voice recognition combines speech-to-text capabilities with NLU. This technology automatically creates subtitles for videos and presentations. Microsoft now includes this capability with some versions of its PowerPoint application.