Agentic AI and Physical AI in Manufacturing
The ARC Advisory Group’s Industrial AI Pacesetter Report identifies a split in how manufacturers deploy artificial intelligence. Organizations classified as Pacesetters have moved beyond single-agent AI assistants and are deploying Collaborative Multi-Agent Systems where specialized AI…
Five Frontier Technologies Reshaping Manufacturing in 2026
The Stanford Emerging Technology Review (SETR) 2026, published by the Hoover Institution and Stanford School of Engineering, maps ten frontier technologies moving from research into real-world deployment. Five of them are hitting manufacturing operations directly: autonomous…
Industrial AI Is Waiting on Data Infrastructure
Industrial companies want AI systems that can predict failures, optimize production, reduce energy consumption, and improve operational visibility across facilities. Many already have sensors, connected equipment, cloud platforms, and years of historical operational data.Yet a growing…
AI Governance vs Data Governance: Why They Need Opposite Approaches
Only 55% of data and analytics teams rate themselves effective at managing governance policies, the lowest score across 14 capabilities measured in the 2025 Gartner CDAO Agenda Survey. Building analytics solutions scored 85%. The gap shows…
How to Build Data Fabric Architecture for AI Use Cases
Seventy-seven percent of organizations list AI-ready data as their number one investment priority for the next two to three years. But according to a 2024 Gartner survey of 247 data management leaders, the spending tells a…
Where to Put Intelligence: Edge AI for Factory Maintenance
Manufacturing AI deployments often fail when all intelligence sits in a single layer, either pushed entirely to the cloud or crammed into the sensor level. Intelligence needs to sit where it can operate reliably, respond in…
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…
80% of Plant Measurement Faults Fixed Without Support
A technician walks up to a faulty measurement device, scans the QR code on its display, and gets a plain-language diagnosis with step-by-step repair instructions, all before picking up the phone. David Lincoln, Digital Lead of…
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…
Neura Robotics CEO: Physical AI for 101M Worker Shortage
David Reger, founder and CEO of Neura Robotics, stood next to a 4NE1 Mini humanoid robot at the AWS booth during Hannover Messe 2026 and laid out the math: China, Japan, and Europe together face a…