The industrial manufacturing sector is operating in an era of persistent volatility. To maintain global competitiveness,organizations are increasingly turning to the Artificial Intelligence of Things (AIoT). According to recent research from IDC: "71% use AIoT for predictive maintenance. Predictive…
There is a prevailing assumption in manufacturing that advanced AI is a "big company game." Global enterprises have the deep pockets, dedicated data scientists, and massive datasets required to make AI work. However, evidence from the…
For manufacturing leadership, every capital request comes with a projection: a return on investment, a payback period, a net present value. These metrics are designed to filter good bets from bad. But there is a new,…
The industrial sector is accelerating the adoption of practical, high-impact AI applications. Based on insights from IIoT World Days 2025, industry leaders focus on scaling these technologies across global operations. From Agentic AI that autonomously manages supply chains to Computer…
Energy consumption is one of the most underutilized data streams in industrial maintenance, yet it often provides the earliest and most reliable signal that equipment is beginning to fail. Energy-centric predictive maintenance flips the traditional approach…
Achieving world-class Overall Equipment Effectiveness (OEE) is a top priority for manufacturers, yet most facilities operate well below the 85% benchmark that separates leaders from laggards. Predictive maintenance powered by the Industrial Internet of Things (IIoT)…
As manufacturers push AI inference to edge devices on the factory floor, a new and underappreciated cybersecurity challenge emerges: how do you ensure that over-the-air model updates are authentic, untampered, and safe to deploy on safety-critical…
In today’s rapidly evolving industrial landscape, staying competitive means being smart with your operations — and smarter with your investments. Leading organizations are turning to the Industrial Internet of Things (IIoT) and Artificial Intelligence (AI) to optimize processes, cut costs,…
Unplanned downtime remains one of the costliest problems in manufacturing. IIoT World explores how organizations are shifting from reactive, break-fix maintenance to predictive strategies powered by connected sensors, edge analytics, and machine learning models. Industrial maintenance…a…
IIoT World analyzed predictive maintenance deployments across manufacturing, chemical processing, and power generation to quantify the real-world cost savings. Research from McKinsey demonstrates that manufacturers can reduce overall maintenance costs by 18 to 25% and cut…
Since the Industrial Revolution, the manufacturing sector has generated vast amounts of data—too much for humans to process manually. So, industries like automotive, electronics, textiles, and pharmaceuticals are now leveraging artificial intelligence (AI) and machine learning…
Reducing waste while maximizing return on investment is one of the most tangible and measurable benefits that Industrial IoT and machine learning deliver to manufacturers. Yet many organizations struggle to move beyond pilot projects and achieve…