News Roundup: Physics, Machines and Data- September 2020

Author: Jon Herlocker


Our team is always keeping an eye on news surrounding digital twins, machine learning, data analytics and more. Here are a few articles that we found especially interesting during the month of September.

Industry 4.0 & the Water Sector – Water Finance & Management

This article in Water Finance & Management hits the nail on the head when it comes to IIoT and the water industry. It outlines six major technological elements of Industry 4.0, and how “integration of these elements into operable production systems has the promise to link global value chains.” It also outlines why Industry 4.0 is “massively important for water.” With the capabilities existing today, the article notes, “It’s now a matter of architecting, implementing, deploying and then operating and maintaining.” Tools like AI, ML, big data analytics, and more are the building blocks of the 4th industrial revolution. They will provide increased productivity, more resilience, and a direct return on investment to those who take full advantage.  

(Be sure to check out our Tignis TV interview with Steve Allbee, former U.S. EPA Project Director, for more insights into the critical role of asset management in the water and wastewater treatment industry.)

Make the most of digital twins and IoT – Riviera 

Many industries around the world are opening their eyes to the power of digital twin and machine learning technology, and the cruise industry is no exception. This article in Riviera highlights how Rolls-Royce Power Systems is looking to “provide condition-based asset management based on how an engine is actually operated.” Rolls-Royce is using machine learning techniques – specifically a neural network – to detect and classify anomalies and build a body of knowledge which is continually updated for all customers of a particular engine class. 

When Tackling Manufacturing’s Long Tail, Speed Is Key – Forbes

In this valuable Forbes article, Natan Linder, CEO of Tulip, breaks down the “long tail” problem in manufacturing operations, why it’s often difficult and expensive to solve, and four things manufacturers should be paying very close attention to in order to tame the tail in their operations. By doing so, manufacturers can break through inefficiencies and make a big impact on their future operations. Linder recommends that “Focusing your attention on the large aggregate value you can coax from the many discrete operational challenges you face everyday is…a way to balance fast business results with foundation setting for a digital future.”