Artificial Intelligence
Agentic Maintenance: From Prediction to Automated Action
A predictive maintenance system flags that a motor will fail in three weeks. What happens next usually involves three to four people, spans up to two weeks, and touches the CMMS, ERP, workforce scheduling, and production…
How Is Industrial AI Performing in Production?
ABB resolves 80% of measurement device faults through an AI copilot, without a support call. HighByte compressed Alcon's one-year plant-wide digital transformation to less than one month. InfluxData and Litmus take manufacturers from three sites to…
Atoms, Bits, and Neurons: The 2026 Mandate for Zero-Defect Manufacturing
The transition to Industry 4.0 has long been stalled by the "Data Silo" problem. In 2026, the conversation has shifted. Leading manufacturers are synchronizing Atoms (physical goods), Bits (digital data), and Neurons (human intelligence) through a paradigm known as Liquid Computing. This…
Small Language Models: The Factory AI Infrastructure for the Modern Plant Floor
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…
Regional Manufacturing Trends Driving AI Vision Adoption in 2026
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 Data Readiness Paradox: Why Smaller Manufacturers are Primed to Scale AI Faster
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…
2026 Smart Manufacturing Ecosystem: 27 Platforms for Industrial AI
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…
February 2026 Industrial AI/IoT & ICS Cybersecurity Events
This guide covered February 2026 events. For upcoming conferences, see the Industrial AI Events in May 2026: Conference Guide or browse the full IIoT World Events Calendar. February 2026 brings together a strong lineup of global…
Embracing AI-Driven Decision Making in Manufacturing
AI-driven decision making in manufacturing delivers measurable results when leadership commitment, operator trust, and incremental scaling align. In a conversation between Alec Glenn of JSW Steel USA and Karthikeyan Natarajan, Co-CEO of Infinite Uptime, concrete outcomes…
What Manufacturing Leaders Misjudged About AI in 2025
In 2025, manufacturers implemented AI across forecasting, logistics, and supplier risk scoring expecting breakthroughs, but a clear pattern emerged: AI improved awareness and decision support without eliminating uncertainty or delivering automatic resilience. Based on a panel…
AI May Be Ready for Manufacturing. But Is Manufacturing Ready for AI?
For the past few years, manufacturers have heard the same message on repeat: AI is ready for industry. But a quieter question is now being asked inside control rooms and boardrooms alike — is industry ready for AI?…
The AI Scaling Problem Nobody’s Solving: Why 140 Applications Delivered Zero Scale
An upstream oil company in Asia built 140 AI applications across 11 offshore assets. Every application was critical to operations. None of them scaled beyond the site where it was built. Jason Schern, Field CTO at…