News

In the process manufacturing world, a significant increase in IIoT implementations has expanded organizations’ accessibility to both operational and equipment data.

Enabling access to machine learning algorithms in easy-to-use advanced analytics applications accelerates insights in process data. A specialty chemical manufacturer used ML tools to predict over 90% of quality deviations and save more than $500,000 per year in quality downgrades.

Allison is an integral part of the Seeq team both internally and externally. Her technical competence and deep domain knowledge of the chemical and petrochemical spaces have helped Seeq land new and grow existing business.

John Cox, Seeq, explains why advanced analytics provides the specialized functionality required to accelerate insights when working with time-series data. 

Day two’s plenary discussion at CIM’s Virtual COM 2021 explores adapting to a cloud-based environment

Are these common myths keeping your utility from adopting advanced analytics?

Here’s how advanced analytics software finds the root cause of, and the solution for, operational delays in batch processes.

Chemical manufacturers increasingly are scrutinizing their suppliers’ actions

Research shows that digital transformation is the primary driver of automation technology spending across the discrete, batch, and continuous process industries. But which technologies get the most focus when it comes to continuous processing?

The IoT platforms market is at the height of its confusion before a period of consolidation, standardization, and simplicity for users.