How do you determine if your plant is ready for Prescriptive AI? Before investing in a prescriptive AI platform, Small and Medium Manufacturers (SMMs) must verify that their data environment is a “clean engine” ready for high-performance intelligence. Try this checklist to determine if your shop is ready to bridge the gap from manual monitoring to prescriptive autonomy.Phase 1: […]
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Manufacturers possess a vast, dormant capital asset that standard financials never capture: decades of technical documentation. These archives contain solutions to past failures, specifications for legacy equipment, and intellectual property from retired experts. Historically, these files, typewritten manuals, handwritten land leases, proprietary CAD formats, were considered “dead,” locked in formats inaccessible to modern search and […]
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The graveyard of smart manufacturing projects is filled with perfect, scalable, future-proof monoliths. They are elegant technical cathedrals, engineered on whiteboards to last a decade. The problem is, the ground beneath a manufacturing operation is not solid. It is shifting sand, a living system of legacy machines, undocumented workarounds, and relentless production pressure. Your beautiful […]
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Why modern factories remain dangerously exposedManufacturers invest heavily in IT security, cloud controls, and compliance frameworks. Yet once you step onto the shop floor, a different reality often appears. Industrial environments still contain machines that communicate openly, without encryption, authentication, or access restrictions. In many cases, anyone connected to the network can not only read […]
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Agentic AI moves industrial maintenance beyond simple alerts into autonomous execution. While standard predictive maintenance forecasts failures, Agentic AI coordinates the entire resolution process, querying inventory (CMMS), scheduling downtime (MES), and drafting work orders without manual intervention.At IIoT World, we have tracked the maturity of Predictive Maintenance (PdM) from its early sensor-based roots to today’s advanced analytics. The global […]
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March 2026 brings together a dense global calendar of Industrial AI, IIoT, digital transformation, and industrial cybersecurity events, spanning North America, Europe, and Asia. From large-scale flagship conferences in Barcelona, Houston, and San Francisco to specialized summits focused on energy, manufacturing, embedded systems, and critical infrastructure security, these events reflect where industrial technology priorities are […]
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Industrial companies everywhere, from manufacturing and energy to transportation and smart cities, are being pushed to “do something with AI.” Predictive maintenance, digital twins, edge AI, and even agentic operations are now showing up on roadmaps and board slides.But here’s the reality: AI ambition is accelerating faster than AI readiness.That’s why IIoT World, in collaboration with HiveMQ, released […]
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The manufacturing sector is currently facing an existential challenge: the “brain drain.” With approximately 30% of the workforce nearing retirement, the industry is losing decades of unwritten “tribal knowledge.” In an environment of tightening margins and increasing complexity, the traditional approach of simple monitoring is not sufficient. To survive this transition, the industry is shifting toward prescriptive autonomy, […]
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A fundamental change in expectations is reshaping how manufacturers evaluate artificial intelligence systems. The long-standing benchmark of 80% accuracy in document processing is no longer acceptable. In the context of AI-driven product and supply-chain decisions, this level of performance constitutes failure. When two out of every ten data points extracted from a critical document—such as […]
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We are getting the conversation about data infrastructure backwards.The chatter online is saturated with debates on cloud versus edge, the merits of one database over another, and the magical promise of AI algorithms. These are implementation details. The fundamental, unglamorous, and decisive battleground for predictive operations lies elsewhere. It’s in the cultural and mechanical translation […]
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Why access to machine data is becoming a strategic issueFor years, many manufacturers operated with limited access to the data generated by their own machines. Interfaces were proprietary, extraction was restricted, and meaningful reuse often required additional contracts or fees. This shaped how digital initiatives evolved—and, in many cases, why they stalled.EU data regulation is […]
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Why Many Projects Stall and What Moves Them ForwardEndurance athletes talk about the “40% wall.” It is the point where the body feels spent, even though much more capacity remains. David Goggins uses it to describe the moment when discomfort is mistaken for a hard limit.Industrial AI projects hit a similar wall.Manufacturers deploy analytics, connect […]
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