AI adoption in energy operations has moved past debate. The real challenge, as Natalia Klafke, Executive Vice President of Energy and Sustainability at Radix, observed at Impact 2025, is execution: many companies have pilots and dashboards,…
Managing agentic AI in manufacturing requires governance built on three principles: centralized control, open standards, and traceable data infrastructure. Peter Sorowka, CEO of Cybus, outlines how manufacturers in regulated sectors like pharma and energy can address…
AI agents embedded directly inside industrial data pipelines, rather than layered on top as analytics, are now operationally viable for manufacturers. At Cognite's 2025 event, SVP Laxmi Akkaraju outlined how this approach delivers autonomous root cause…
AI in energy has moved past dashboards and reports. According to Simon Williams, Chief AI Officer at ATELIC, industrial AI now detects equipment fatigue hours before failure, adjusts production flows automatically, and predicts energy demand shifts…
Scaling smart manufacturing with IIoT, machine learning, and generative AI requires moving beyond isolated pilots to systems that deliver measurable value across entire operations. At IIoT World Manufacturing Day, Tim Gaus, Greg Sloyer, and Sanjay Bhatia…
For the fifth year in a row, IIoT World is inviting industry leaders to contribute to our annual survey: “Building IIoT Systems 2025.” Each year, this research captures the state of industrial digital transformation, helping project managers, architects,…
Manufacturing faces a widening AI readiness gap: AI capability is doubling every 3.5 months, a 100x improvement in a single year, according to data cited during an IIoT World panel session. Yet industrial adoption remains slow…
Modern manufacturers face a paradox: despite generating more data than ever, as much as 80–95% of valuable operational data remains unused. The result? Missed opportunities, fragmented visibility, and stalled digital transformation efforts. Our new executive booklet, based…
Forget the hype. Generative AI isn’t replacing workers or designing entire factories — yet. But it is changing what happens on the factory floor, where complexity, variability, and labor shortages meet real-time decisions. From reducing assembly…
The conversation around industrial robotics has long centered on mechanical capabilities: payload, speed, reach, and precision. But the true inflection point in robotics transformation is happening in software, particularly through advances in industrial AI, machine learning,…
For many industrial organizations, the edge has long been treated as a fixed, isolated part of operations. But as digital transformation initiatives scale—and artificial intelligence, analytics, and cybersecurity concerns intensify—this view is rapidly becoming outdated. Erik…
Industrial AI is no longer an emerging concept; it is actively transforming how manufacturers automate processes, predict failures, and optimize output. In this guide, IIoT World examines the most significant industrial AI and automation trends that…