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…
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…
How to Prove AI Value in Manufacturing Operations
Between 80% and 95% of organizations report limited financial value from their AI investments, and only 11% of CFOs have been able to concretely measure return on investment from AI, according to Gartner’s 2025 and 2026…
Data Governance Fails Without Culture Change
Only 26% of data governance programs incorporate culture and communication into their strategy, according to the 2025 Gartner Evolution of Data and Analytics Governance for AI Survey of 62 organizations. The majority prioritize trust, risk, security,…
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…
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…
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 isn’t…