Michael Risse
Michael Risse is the CMO and vice president at Seeq Corporation, a company building advanced analytics applications for engineers and analysts that accelerate insights into industrial process data. He was formerly a consultant with big data platform and application companies, and prior to that worked with Microsoft for 20 years. Michael is a graduate of the University of Wisconsin at Madison, and he lives in Seattle.
Articles
3 data analysis tips: Adapt data, leverage employee skills, innovate
Industry 4.0 requires an appropriate use of data structures, people skills and analytic tools.
How raw data is made ready for applying analytics
Subject matter experts best positioned to judiciously transform process data for analysis
Use IIoT to improve OEE, increasing ROI
Case-use examples illustrate the point
Workloads in the cloud for industrial manufacturers
Cover story: Cloud adoption in industrial and manufacturing organizations is growing. See five use cases of how manufacturers use the cloud and the potential benefits.
Optimizing asset performance in refineries
Advanced analytics use machine learning to simplify user experience, generate process data insights.
Refineries need machine learning to improve operations
Machine learning and other advanced technologies are embedded in advanced analytics software to empower engineers and other experts.
The data historian’s history told
Momentum around time-series data storage suggests a new chapter for a legacy offering.
Big Data analysis or data acquisition?
Centralized data architectures are adapting to new opportunities for data collection and analytics.
Basic steps to take when applying analytics processing
Upstream oil & gas operations improved using data analytics.