Articles and News

The newly updated Fourth Edition of A Guide to the Automation Body of Knowledge is the only officially authorized book covering ISA’s body of knowledge core competencies. This revised guide provides an overview of important automation concepts and processes, while also describing the technical skills required to implement them in today’s industrial environment.

Factories generate enormous quantities of sensor data, yet most of it is never translated into timely operational decisions, leaving significant production capacity unrealized. The next industrial advantage will belong to companies and countries that build infrastructure capable of interpreting this data in real time and using it to improve factory operations.

Advanced digital tools can optimize performance and reduce costs, but only when based on accurate, connected data. This article discusses how data can be captured and structured to facilitate all the promises of a digitally integrated facility.

America’s manufacturing expansion faces not only a labor shortage but a loss of institutional knowledge as experienced workers retire. Factories must capture human decisions alongside machine data to create a sovereign knowledge repository that helps future workers diagnose problems, act faster, and avoid repeating mistakes.

A manufacturer’s response to the hiring challenge should have two parts: upskill the workforce you have and partner with education to build the skilled workforce you'll need.

Unified Namespace (UNS) is becoming a critical enabler for the next generation of manufacturing. It provides an a real-time, contextualized representation of the factory.

As industrial organizations race to capitalize on AI and other digital transformation initiatives, data readiness is emerging as the critical differentiator between organizations that experiment with AI and those that successfully scale it.

Femtosecond lasers are used to manufacture components for AI data center equipment, including parts used in advanced optical connections that speed up data transfer.

The two companies are developing a solid-state transformer for direct current applications in AI-ready data centers.

"Critical infrastructure depends on systems being available when people need them most," said Dave Joyce, CEO of Macrium Software.

Your plant already runs on low-code. It has for thirty years, and it was called Excel.

The role will focus on WAGO's automation, connectivity and monitoring portfolio, with a goal to close the gap between IT and OT systems inside modern data center facilities.

Middleware became a control system, and it did so without inheriting any of the discipline we spent seventy years wrapping around control systems.

Market expansion reflects the accelerating demand for low-latency digital infrastructure as real-time computing requirements continue to rise across connected ecosystems.

Scaling engineering now depends on treating knowledge transfer as critical operational infrastructure, not just documentation management.

An industry analyst report recognizes Siemens as a Visionary in the current AI platforms for Data Science and Machine Learning.

The transition from static, siloed automation to a dynamic, agentic ecosystem is underway across the industry.

Datanomix is showing what AI looks like when it's running on real machine data, helping shop owners answer the one question that matters: Are we improving?

New research by L2L finds that more than 65% of supervisors waste up to four hours per shift on manual data entry and reconciliation.

As AI factories become more pronounced in the data center industry, next-generation platforms such as NVIDIA Vera Rubin NVL72 are redefining infrastructure requirements.