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Software-Defined Automation blends IT agility with industrial strength–boosting flexibility, speed and efficiency at the edge. It’s the future of automation, redefined by code, not cables.

As a secure and deterministic bridge between stochastic AI models and physical machinery, the industrial orchestration layer empowers manufacturers to safely automate real-time decision-making while ensuring safe operations.

Industrial control and automation systems investments require critical business management decisions for long term competitiveness, growth and profits over time.

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

The manufacturers who come through this strongest will be the ones who used digital tools not just to cut costs, but to redesign how they operate.

Electric vehicles and battery manufacturing; aerospace and defense; semiconductors; life sciences; and the decarbonization of heavy industry account for a significant share of the country’s largest industrial investments.

This article explores how a resilient software foundation and a microkernel architecture can isolate critical workloads, contain faults, and support lifecycle cybersecurity. It highlights how foundational platforms such as QNX can enable secure and safe software-defined industrial modernization approaches that are essential in building and managing resilient systems throughout the systems lifecycle.

Manufacturers are no longer asking whether disruption will occur, but whether their operations can respond quickly enough to minimize its impact.

The target of the automation is no longer a task. It's the discovery and automation of processes themselves.

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

Protected only by simple security measures, ICS has become the newest focus of hackers worldwide.

AI is forecast to be one of the primary drivers of growth in the machine vision market through 2030.

For automation equipment manufacturers, the message is clear: connectivity alone is no longer enough. 

Here are some common ISA/IEC 62443 myths that still trip up chemical manufacturers.

Specialized flow meters are required to measure the density of silica sand slurry, ideally without process pipe penetrations or production interruptions during installation.

The future of fulfillment will not be defined by technology alone but by how effectively organizations put it to work.

Governed Industrial AI for connected work takes the risk out of AI integration while inspiring frontline workers to work smarter.

When selecting the right End-of-arm tooling (EOAT) for physical AI-driven robotic applications, these four requirements are critical.

“The cybersecurity landscape for industrial organizations continues to evolve rapidly, with increasingly advanced threats targeting critical operations,” said Jim Masso, president and CEO of Honeywell Process Automation. 

The movement involves building an open, interoperable automation ecosystem that allows customers to make their systems flexible and resilient.