Senior Manager Product Marketing, Aspen Technology, Inc.
Michael leads growth initiatives for the AspenTech Asset Performance Management business. He previously worked in multiple sales and marketing leadership positions at GE in power services and renewables. Prior to GE, he spent 12 years at AMD and held leadership roles in engineering, software development, marketing and product management.
Michael holds a BS in electrical engineering from Texas A&M University and an MBA from the University of Texas.
April 03, 2019
Author: Michael Saucier
Optimize mineral recovery with relevant multivariate analytics that decipher data from the entire mine-to-mill process.
February 05, 2019
Make run-to-failure an outdated asset maintenance method with prescriptive analytics and machine learning.
January 22, 2019
Prevent expensive and time-consuming clean-ups and turnarounds on continuous casting with machine learning.
January 02, 2019
Haul trucks are one of the most expensive assets for mining companies. Prescriptive analytics can keep them running longer at lower costs.
November 20, 2018
Wind and solar farms must have prescriptive analytics to effectively operate and maintain optimal performance. Learn how you can reduce unplanned downtime and increase profitability at remote sites.
September 25, 2018
Prescriptive analytics are proving to be critical for improving performance metrics such as operating ratio, safety and on-time service in this highly competitive industry.
August 28, 2018
Prescriptive analytics based on machine learning and multivariate analysis are enabling power plants to optimize equipment life and extend their outage intervals. Free yourself from the recommended sc...