Artificial Intelligence & ML
How to Select and Fund AI Use Cases
A live poll at the Industrial AI Summit 2026 showed 37% of attendees targeting plant floor maintenance and quality vision inspection as their first or next AI project, while 21% had not yet selected a use…
What GPT-6 Reveals About AI Readiness
OpenAI's GPT-6 Astra improved from 18% to 41% accuracy on a real workplace task automation benchmark in eight weeks. That 41% still means the model produces more incorrect outputs than correct ones across general tasks. At…
Jetson Thor T5000 Enters Consumer Edge AI
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…
Cognitive Data Readiness for AI Agents
Data quality used to be something data scientists handled on their own. The model needed clean inputs, they cleaned them, and the organization moved on. AI agents changed that. They consume data at machine speed, with…
What Can AI Agents Do in Supply Chains?
Ten years ago, P&G tracked truck deliveries by calling every driver. Now an AI agent reschedules warehouse and distribution center appointments without human involvement. Milwaukee Tool is implementing Oracle agents for supply planning, shipping, and maintenance.…
How NXP Scales Physical AI from Drones to Humanoids
A delivery drone and a humanoid robot face the same core challenge: they need to reason, coordinate, and react at three distinct levels simultaneously. NXP Semiconductors' Neural Access Architecture splits robotic intelligence into cerebral, cerebellum, and…
How Does AI Forecast Supply Chain Demand?
P&G evaluates 20 AI models every day to forecast six weeks of demand for Charmin and Bounty, Jaimie McIntyre Horstman, Director of Demand Forecasting at P&G, told a December 2025 IIoT World panel with Maria Araujo,…
How AI Improves the Work Robots Cannot Automate
Humans still performed 75 to 80% of tasks in even the most advanced factories, Zeeshan Zia, CEO and Co-Founder of Retrocausal, told a Sustainability Day 2024 panel with Eve Psalti, Senior Director at Microsoft, and Michael…
Why Historians Cannot Feed Physical AI
Physical AI systems that interpret sensor telemetry, predict equipment behavior, and trigger automated responses require two data capabilities that traditional historians were not designed to provide: high-resolution historical datasets for model training and continuous real-time telemetry…
How AI Solves Product Complexity in Manufacturing
Two-thirds of manufacturers now report very or extremely complex product portfolios, a 20-point jump in a single year according to Tacton's 2026 State of Manufacturing Report, which surveyed 280 leaders across eight countries. That complexity is…
AI Vision in Manufacturing Quality Inspection
Cognex reported that Schneider Electric doubled its production yield and eliminated most false rejects after deploying the OneVision AI vision platform across its manufacturing lines. At a 1,200-parts-per-day facility, AI-based inspection saves $342,000 per year compared…
Agentic AI in Manufacturing: ROI vs. Reality
Manufacturers that ship AI agents into production report an average return of 171% on investment and a 34% gain in production efficiency, according to 2025-2026 enterprise deployment data. These results span multiple industrial AI use cases,…