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Activity Number: 44
Type: Invited
Date/Time: Sunday, August 3, 2014 : 4:00 PM to 5:50 PM
Sponsor: ASA
Abstract #311229
Title: Industrial Internet, an Opportunity for Statisticians to Become Data Scientists
Author(s): Bill Ruh*+
Companies: GE Software Center
Keywords: Internet of Things ; Industrial Internet ; Data Science ; Data Scientists ; Big Data ; Statisticians
Abstract:

During the past decade, vast amounts of data have become available and accessible for analysis in consumer Internet applications. In addition to this big data trend, there is a revolution happening in industrial and manufacturing sectors. We will explore the opportunity for statisticians to become data scientists through the tremendous growth in data collected from sensors connected to machines. This critical data helps determine the health of industrial assets and determine if they are operating optimally or effectively deployed. Statistical analysis is used to predict future problems and develop machine-learning algorithms to identify complex anomalies. We will examine examples of the use of statistical modeling to provide insights into asset and operations optimization in sectors such as Energy and Healthcare and how statisticians can contribute to the understanding of the data. We will look at the boundaries of statistical analytics and the areas of development required for Statisticians to become Data Scientists. By merging big iron with big data to create brilliant machines, the Industrial Internet is changing the way we power, build, move and cure the world.


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