From Modern AI to Cognitive Computing: A Roadmap for Designing and Deploying Smarter Applications

Adopting elements of modern AI and cognitive computing – including advanced natural language processing, natural interface technologies such as gesture and emotion-recognition, and machine learning – is rapidly becoming a necessity for new applications. As people in all industries are exposed to better, more personalized and responsive experiences with software, they will begin to demand more from every system they use. Cognitive computing - defined as systems that understand, reason and learn - is the next frontier. In this session we will separate the hype from the reality and help attendees prepare to:

Classify and map application attributes to AI technologies and tools; including data attributes, end-user attributes, and context attributes such as weather and location
Prioritize applications in an existing portfolio for AI-enhancements
Assess organizational readiness for leveraging AI

Adrian Bowles 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.