Recent research on AI breaching industrial controls in minutes raises an important question about how we evaluate #CyberSecurity risks in manufacturing. Operational technology has different constraints than a typical office environment, where a system can be isolated or restarted with less disruption. A security weakness that reaches production equipment can affect uptime, product quality, and…

AI tools are entering the workplace faster than many companies can update their policies, and that gap deserves attention. In #AerospaceManufacturing, employees may be handling controlled technical data, customer information, or documentation tied to regulatory requirements. A policy that simply tells people which tools they can use does not address how information is entered, how…

The growing ability of AI agents to execute multiple states of a cyber attack changes the demands on security teams. Automated attacks leave less time to identify suspicious activity, contain a threat, and prevent it from spreading across connected systems. Network segmentation, tightly controlled privileges and recovery plans that have been tested under realistic conditions…

AI is changing how software is developed, but faster development does not always translate to faster delivery. Code still has to be tested, integrated with existing systems and maintain long after the initial release. A software issue can affect ERP transactions, production data, or processes that depend on accurate records and consistent system performance. The…

There are plenty of different opinions about where AI is headed, but the more practical question for manufacturers is how quickly those changes actually affect the operation. More capability does not automatically mean a better process, particularly when systems, data, security, and production requirements still have to work together. I have seen technology projects create…

We are getting more comfortable putting AI into processes that used to require a person to make the final call. That raises a practical question in manufacturing: when a system recommends a production change, flags an issue, or makes a decision, who is ultimately accountable if it goes wrong? In my experience, automation works best…

Cyber security has become an operational issue as much as an IT issue. Manufacturing environments generate enormous amounts of activity every day, and finding the few events that deserve immediate attention has never been easy. Better tools can help identify unusual behavior faster, but they still need to fit into disciplined security practices, regular patching…

Every technology investment comes down to the same question – are we solving a long-term business need or filling a short-term gap? #SmartManufacturing systems that support ERP, engineering, and operations require people who have a deep understanding of how operations run, not just knowledge of the technology itself. Building these insights inside of the organization…

The conversation around automation often focuses on what process #FutureTech can innovate, but it also shifts the expectations of #ITleaders. Less time is spent chasing routine work and more time is spent improving #ERP performance, strengthening #CyberSecurity, and making sure manufacturing systems stay reliable under production pressure. The leadership skills that matter most are still…

Production teams know that small variations during changeovers can have a significant impact on throughput, quality, and delivery schedules. Advanced analytics and intelligent systems are helping manufacturers identify patterns that were previously difficult to detect in real time. The goal is not to replace operator expertise, it is to provide better visibility so teams can…