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About the Webinar
Are you ready for NLP? The technology is ready for you.
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, enterprise, and public sector applications. Today, one can build a system that allows natural language text or speech input without knowing much more than a few API specs. From chatbots to search engine translation services to applications that scour social media posts looking for business opportunities or terror threats, Natural Language Understanding (NLU) is delivering value today.
In this webinar, we will cover the basics of NLU processing and knowledge representation, semantic analysis for text analytics, and recent advances in translation functionality driven by machine learning. 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 right away.
About the Speaker
Founder, Storm Insights
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-Binghamton, 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.