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Monday, September 12 • 3:00pm - 3:50pm
Harnessing IoT Through Analytics at the Edge

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The massive growth of IoT infrastructures and the edge devices that comprise them has made it inefficient - and in some instances, flat out illogical - to transport all data back to a centralized core for analysis. Successful analytics initiatives in the modern IoT world will thus be those that apply predictive models and run analytics at the edge - directly at the source of data. This not only eliminates the time, effort and expense required to transport data, but it allows for immediate action to be taken in response to insights. In this in-depth session, Shawn Rogers, chief researcher officer for Dell Statistica, and John K. Thompson, general manager, Dell Statistica, will discuss the benefits of, challenges associated with, and primary use cases for modern edge analytics. Attendees will learn the value of edge analytics and how to implement it within their organization.

Speakers
avatar for Shawn Rogers

Shawn Rogers

Chief Research Officer, Dell Statistica
Shawn Rogers is Chief Research Officer at Dell Statistica. Shawn is an internationally recognized thought leader, speaker, author and instructor on the topics of IoT, big data, analytics, cloud, data integration, data warehousing and social analytics. | | Shawn has more than 20 years of hands-on IT experience. Prior to joining Dell he was Vice President Research for Business Intelligence and Analytics at Enterprise Management Associates... Read More →
avatar for John K. Thompson

John K. Thompson

General Manager, Dell Statistica
John K. Thompson is an international technology executive with more than 25 years of experience in building and growing software companies. Currently, John leads the advanced analytics business unit of the Dell Software Group. | | John’s technology expertise includes all aspects of advanced analytics and information management including – descriptive, predictive and prescriptive analytics, analytical applications, deep learning... Read More →


Monday September 12, 2016 3:00pm - 3:50pm
DataWeek: Data Stage