Smart Data Webinar: Streaming Analytics for IoT Oriented Applications
Channel: DATAVERSITY
Date: 2017-06-02

About the webinar:
The growth of connected devices on the Internet of Things (IOT) is already creating huge volumes of sensor- and system-oriented data. The pace will no doubt continue to increase for years to come. Finding and leveraging opportunities from this data faster and more effectively than your competition requires the effective use of streaming analytics. We simply don’t have time to apply legacy techniques and can’t interrupt the flow to analyze it. The good news is that tools and techniques enable us to get usable analytics in near-real time today, and to integrate current streams of data with historical archives to create prescriptive systems that direct next best action scenarios.

This webinar will present an overview of streaming analytics technologies and tools, and help participants identify opportunities for streaming analytics-enabled IOT applications.

About the speaker: Adrien Bowles

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.