In every manufacturing plant, a "hidden factory" exists: the collective time, energy, and capital spent on rework, manual inspections, and alarm fatigue. In 2026, the competitive edge is in eliminating this invisible waste through Predictive Governance. The…
According to recent 2026 outlook data from the Association for Advancing Automation (A3) and ITR Economics, the adoption of AI Vision is a strategic geographical decision. As "reshoring" evolves from a buzzword into a corporate mandate, manufacturers are pivoting…
The industrial sector is at a crossroads. As we navigate 2026, the traditional “detection-first” mindset that has governed OT (Operational Technology) cybersecurity for decades is proving insufficient against the rise of autonomous, AI-driven threats. During an interview at S4x26…
The manufacturing sector is currently navigating a massive transition from static dashboards to Agentic AI, systems that can perceive, reason, and act autonomously. However, as highlighted by industry leaders during the sessions and discussions at IIoT…
The industrial landscape of 2026 has evolved beyond "growth at all costs" to a focus on technological survival. As we navigate a sluggish business cycle, rising power costs, and a staggering labor gap of 425,000 workers, automation…
IIoT World analyzed the defining industrial AI trends shaping manufacturing in 2026, based on conference sessions, expert interviews, and deployment data from companies including Suzano, Danfoss, and C3 AI. Agentic AI in 2026 refers to systems…
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…
At the AI Frontiers event, the session “Agentic AI & Integrated Data Workflows: Extracting Value from Existing Manufacturing Systems” drew an engaged audience eager to probe real-world challenges. Their questions cut straight to the heart of…
Answering the audience’s questions Integrating agentic AI into legacy manufacturing does not require replacing existing infrastructure. Panelists from Litmus, ZF Group, CESMII, and Arch Systems at AI Frontiers 2025 outlined a practical six-part approach: free trapped…
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 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…
Agentic AI in manufacturing requires unified, low-latency data access across ERP, MES, and historian systems. According to Peter Sorowka of Cybus GmbH and Sebastian Trolli of Frost & Sullivan, data silos, missing metadata, and inconsistent architectures…