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About the Webinar
Machine learning is experiencing a renaissance. While many of the fundamental concepts behind supervised and unsupervised ML and brain-inspired deep learning techniques are not new, the pace of commercial advancement has picked up significantly in recent years and shows no sign of abating. Rapid improvement in technologies that support ML – from scalable parallel architectures to commercial cloud environments to neuromorphic hardware architectures – are driving significant investments with demonstrable results. After a brief overview of the major ML approaches, participants in this webinar will learn:
- How to choose the right ML approach or mix of approaches for specific applications,
- How the ML vendor market is maturing (using a new model of the ML landscape), and
- How to evaluate opportunities for ML integration in their own environments
About the Speaker
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.
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