June 8, 2017 This webinar has passed. The recording will be made available On Demand within the next two US business days.
TIME: 2 PM Eastern / 11 AM Pacific
PRICE: Free for all attendees
About the Webinar
The state of the art and practice for machine learning (ML) has matured rapidly in the past 3 years, making it an ideal time to take a look at what works and what doesn’t.
In this webinar, we will review case studies from 3 industries:
Participants will learn to look for characteristics of business processes and of data that make them well – or ill – suited to augmentation or automation with ML.
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.