Analytics

Five steps to select predictive analytics software

Industrial organizations benefit from predictive analytics; engineers can use this advice to select the best predictive analytics solution for their operations.

Your questions answered: Current issues in industrial analytics

Mike Malone, principal process engineer at Toray Plastics America, answered additional webcast questions about data engineering and machine learning as they relate to analytics.

Industrial analytics from the edge up

工业制造商正在使用边缘控制器s and industrial PCs (IPCs) to implement practical analytics initiatives from the edge up, instead of from the enterprise down.

Securing smart manufacturing and workforce confidence

The importance of real-time IT/OT data access when it comes to improving efficiency and productivity.

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

Most-viewed university articles in 2019

The most-viewed articles from university sources included stories on drag-and-drop analytics, robotic actuators, nanocrystals, and prolonging power plant life with AI. Links to each article below.

Interoperability and how to sustain it

Vocabulary and concepts for the age of analytics

Evolution of modern manufacturing: more data

Automation future: The Industrial Internet of Things (IIoT) and Industry 4.0 are widely known concepts, have not been widely adopted. On the way, physical device data connectivity can increase information flow to add efficiency, eliminate errors and increase uptime

Optimizing asset performance in refineries

Advanced analytics use machine learning to simplify user experience, generate process data insights.