AI accelerates both sides of OT cybersecurity. When AI writes the malware, defenders need to understand exactly how capable the threat is and where the real risks lie. Attackers use AI coding assistants to speed up ICS malware development, but functional malware still requires deep engineering knowledge of industrial protocols and physical systems. Defenders gain […]
Read more →
Most industrial AI systems on the factory floor are limited to monitoring: they read sensor data, populate dashboards, and trigger alerts without ever sending an instruction back to the machine. Coreflux, a company based in Porto, Portugal, co-founded by CEO Hugo Vaz and CTO Paulo Mota, has embedded an AI agent directly inside its MQTT […]
Read more →
An OEE analytics application that took 12 weeks and a team of developers to build a year ago can now be generated in minutes. Snowflake’s Cortex AI accepts a prompt describing the industry vertical, target use case, and boundary conditions, and produces a working solution. For manufacturers sitting on thousands of plant-floor use cases that […]
Read more →
For decades, the promise of the digital factory was simple: more data equals more efficiency. Yet, as discussed at the ARC Industry Leadership Forum 2026, many manufacturers find themselves trapped in a productivity paradox. Despite having more sensors and dashboards than ever, teams are spending more time reconciling information than building products.To break this cycle, […]
Read more →
A predictive maintenance system flags that a motor will fail in three weeks. What happens next usually involves three to four people, spans up to two weeks, and touches the CMMS, ERP, workforce scheduling, and production planning systems before a single wrench turns. Agentic AI compresses that entire coordination chain into roughly 30 seconds. During […]
Read more →
Agentic AI will bring thousands, potentially tens of thousands, of AI agents to the factory floor. Every one of them will need data, and not all data. Agents do not perform well when exposed to massive amounts. They need focused, usable data scoped to their task. So, how much should manufacturers let them do without […]
Read more →
TwinThread customers have been running fully closed-loop AI quality optimization in production for five years, with no human adjusting the set points. Andrew Waycott, President and Co-founder of TwinThread, described at Hannover Messe 2026 how the company’s industrial AI platform, running over 1 million digital twins and 2 million AI models in production, presented at […]
Read more →
A technician walks up to a faulty measurement device, scans the QR code on its display, and gets a plain-language diagnosis with step-by-step repair instructions, all before picking up the phone. David Lincoln, Digital Lead of ABB’s Measurement and Analytics Division, spoke with Lucian Fogoros of IIoT World at Hannover Messe 2026 about how the […]
Read more →
Software-defined automation moves control logic from dedicated PLCs onto industrial PCs and standard server hardware, while the physical equipment, inputs/outputs, drives, and motors, stays on the shop floor. Engineering changes too, from predefined toolchains with fixed workflows to an open system where teams connect Siemens, third-party, and OEM tools through APIs and a package management […]
Read more →
Most manufacturers face the same starting point: brownfield operations with equipment from multiple vendors and departments that work toward different objectives. The scope of what needs connecting creates enough resistance that many companies never take the first step. At Hannover Messe 2026, Thomas Roehrl of Siemens described this as the biggest mistake in platform deployment: […]
Read more →
One Avanade client, a global snack food brand, used AI agents to cut inventory by 20%. Another, an electronics manufacturer, recovered $35 million in a year in lost fees. At Hannover Messe 2026, Avanade presented two demos in the Microsoft booth, co-branded with clients Nissha Metallizing Solutions and Kruger, showing how AI agents embedded in […]
Read more →
Factories generate massive volumes of time series data from every sensor, controller, and production line, but many manufacturers reduce the fidelity of that data or discard it entirely because their existing infrastructure makes retention too expensive or too difficult. “It always pains me to see customers reducing fidelity or throwing data away for resource or […]
Read more →