NVIDIA's Jetson Thor T5000 module delivers up to 2,070 FP4 TFLOPS of AI compute. Industrial system builders use it for robotics, factory automation, and medical imaging at the network edge. On September 1, 2026, consumer electronics…
Gil Silva, Partnership, Learning & Development Manager at Coreflux, walked through a live demo at Hannover Messe 2026 where a Raspberry Pi running the company's Language of Things processed factory data, managed energy systems, and communicated…
A Gatorade bottling line at a FIFA World Cup stadium, producing on site instead of shipping from a central plant, with flavors adjusted by region and Doctor Pepper for the Texas crowd. In this IIoT World…
Edge AI enables energy companies to monitor aging brownfield infrastructure by processing sensor data locally, replacing the diagnostic expertise lost as experienced engineers retire. At IIoT World Energy Day, panelists from TDK SensEI, HiveMQ, PrivacyChain, and…
While the industrial world is captivated by the potential of Large Language Models (LLMs), a quieter, yet equally transformative, revolution is happening at the industrial edge: the rise of Small Language Models (SLMs). Often overshadowed by…
Industrial companies produce more machine data than ever before. Sensors, connected equipment, and automated systems generate terabytes of raw data every single day. Yet, most of this information never translates into measurable value. It either sits…
AI agents in manufacturing can now negotiate trade-offs between energy use, uptime, and quality in real time, without human intervention. According to Technology Advisor Omid Givehchi of ATELIC, this approach, called intelligent autonomy, keeps humans in…
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…
The convergence of edge AI and centralized intelligence hubs is creating a new operational architecture for manufacturers seeking real-time decision-making without sacrificing data governance or scalability. In this article, IIoT World examines how pairing local inference…
Artificial intelligence dominates manufacturing strategy conversations, yet most industrial AI projects stall before they deliver measurable value. The missing ingredient is almost always the same: reliable, contextualized data flowing from IoT sensors, PLCs, and edge devices…