Natural language processing (NLP) - once on the frontier of AI as a research topic with maddeningly low accuracy - is rapidly becoming a requirement for mainstream consumer and enterprise applications. Today, one can build a system that allows natural language text or speech input without knowing much more than a few API specs.
In this webinar we will cover the basics of speech recognition, semantic analysis for text analysis, and recent advances in natural language generation. Participants will learn how modern approaches have gone beyond counting words with statistical models to predicting speech the way people fill in sentences with context while listening. We will also present examples of commercially available NLP APIs to help participants experiment with NLP in their own applications.
Adrian Bowles
Founder, STORM Insights, Inc.
Adrian is an industry analyst and recovering academic, providing research and advisory services for buyers, sellers, and investors in emerging technology markets. His coverage areas include cognitive computing, big data / analytics, the Internet of things, and cloud computing. Adrian co-authored Cognitive Computing and Big Data Analytics (Wiley, 2015) and is currently writing a book on the business and societal impact of these emerging technologies. He has held executive positions at several consulting and analyst firms. Adrian also held academic appointments in computer science at Drexel University and SUNY-Bingamton, and adjunct faculty positions in the business schools at NYU and Boston College. He began his career with research and application development roles at IBM and GTE Laboratories. Adrian earned his BA in Psychology and MS in Computer Science from SUNY-Binghamton, and his Ph.D. in Computer Science from Northwestern University.