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Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA
Gang Wang

Gang Wang
Technology Innovation Architect, Intuit

Website

Gang Wang is an Engineering Fellow at Intuit, responsible for the core tax engine that is used by 33 million US tax filers every year across mobile, web, and desktops. He has initiated and been leading the design and implementation of the next generation intelligent tax engine. His work focuses on large scale intelligent systems, knowledge engineering, enterprise architecture for mission critical financial applications. Gang is well published academically having written 26 papers, articles and book chapters. His publications cover speech recognition, natural language understanding, computer architecture, and electronic design automation, and financial software. He also holds 23 issued patents in US and Europe. Gang has a Ph.D. in Electrical and Computer Engineering from University of California at Santa Barbara.

Sessions

4:00pm–4:40pm Wednesday, September 20, 2017
Verticals and applications
Location: Franciscan AB
Secondary topics:  Algorithms, Enterprise adoption
Gang Wang (Intuit)
Average rating: ****.
(4.75, 4 ratings)
Taxes are one of consumers' most complex financial transactions, thanks to a tax code that is 80,000 pages long. Gang Wang explains how Intuit built the industry’s only Tax Knowledge Engine, a constraint-based engine that encodes changing financial regulations and provides the foundation for a host of artificial intelligence technologies that save customers time and money. Read more.