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Smart Data Slides: AI at the Edge

By   /  January 15, 2018  /  No Comments

To view the On Demand recording from this presentation, click HERE>>

Smart Data Webinar Series

About the Webinar

The Fog or Edge Computing model complements Cloud Computing with small, typically sensor-enabled and IOT connected devices that process distributed data at its source. As this model matures, we see an uptake on a 3-tier architecture with Intelligent Gateways to aggregate sensor input before communicating with data centers or a Cloud. Two forces will drive the practice of distributing Intelligence (Understanding/Reasoning/Learning) to the Gateway. The first is the presence of the Gateway itself, which enables a standards-based approach to distributing intelligence and moving it closer to the edge. The second is the trend for simplifying system requirements by processing training data or model validation with big data prior to deployment, and using small footprint devices for operational systems.

This webinar will present an overview of the relevant technologies and trends. Participants will learn about the state of the art today, and how to identify apps in their own environment that would be good candidates for Intelligent Edge solutions.

About the Speaker

Adrian Bowles

Founder, Storm Insights

Adrian Bowels croppedAdrian 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.

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