About Sarah Ewing
Sarah Ewing is a senior data scientist at Atos North America. She serves as a member of the Atos Scientific Community, a global network comprised of 150 of the top scientists, engineers and forward thinkers from across the Group. In her role, Ewing creates predictive maintenance algorithms on millisecond data for integral processes at a common household brand. She has experience in data science spanning various industries, including medical, nuclear, psychological and engineering. She has authored more than 13 peer-reviewed publications relating to data science and analytics.
Prior to Atos, she worked for the federal government as a senior statistician creating models for the United States Nuclear Regulatory Commission (NRC). Ewing has a master’s degree in statistics from the University of Idaho. In her spare time, she serves on the board for Middleton Food Pantry, helping to eliminate hunger in the community by distributing food to those in need.
Articles posted by Sarah Ewing
Proactive maintenance is in the data
In the giant space of the Industrial Internet of Things (IIOT) detecting when equipment starts to break, before it breaks, is a cost-effective way to move from equipment downtime into proactive maintenance. Proactive maintenance is the act of preventing failures through harnessing data to engage equipment and processes with helpful measures before a point of no return. This moves maintenance from…