Process Manufacturing
Building Digital Reliability: Why Your Maintenance Strategy Needs External Expertise
The manufacturing sector faces a persistent tension: should organizations build all digital capabilities in-house or leverage external partners? The answer, increasingly, is neither—it's both, strategically combined. The Cost of Doing Everything Yourself Many industrial leaders assume…
What Makes Digital Investments in Industry Actually Pay Off
Amit Khanna, Vice President of Business Excellence at Tata Steel Thailand, outlined how digital reliability transitions from isolated plant-floor monitoring to a boardroom-level strategic investment by integrating equipment health data with production process parameters like throughput,…
Real-Time Data Plumbing: The Hidden Cost of Scaling Predictive Analytics
The "Predict, Prevent, Optimize" panel at AI Frontiers 2025 identified the primary barrier to scaling predictive analytics in manufacturing: not machine learning models, but the data pipelines that must move sensor readings quickly, cleanly, and in…
Trust, Security, and Human Factors in Agentic AI
Autonomous AI on the factory floor is not just a technical challenge — it’s a human one. Operators want to know they can trust the system. Executives need accountability. Security teams demand resilience. At the “Agentic AI…
Inside Tata Steel’s Reliability Mindset: What Really Drives Uptime
Tata Steel Thailand judges plant reliability by three visible signals: housekeeping discipline, visually tagged critical assets, and active daily management boards. According to Amit Khanna, VP of Business Excellence at Tata Steel Thailand, real-time gas monitoring…
Prescriptive AI That Respects Reality: Recommendations You Can Actually Execute
Prescriptive AI in manufacturing delivers specific fault diagnoses, severity ratings, and ready-to-execute maintenance plans constrained by real inventory, crew availability, and production schedules. According to Raunak Bhinge, founder of Infinite Uptime, speed matters, but doability matters…
Agentic AI Isn’t a Product – It’s an Integrated Business Strategy
Agentic AI represents a fundamental shift in how manufacturers deploy artificial intelligence, moving from passive analytics and dashboards to autonomous agents that perceive, decide, and act within operational workflows. Unlike traditional AI copilots that wait for…
Factory Expertise, Now Scaled by AI
AI copilots in manufacturing embed expert knowledge directly into factory systems, giving operators real-time, human-expert-level diagnostics at the point of decision. According to a white paper published by Arch Systems, one high-volume facility using this approach…
From APIs to Digital Twins: Warehouse Integration Strategies for Smarter Supply Chains
Smart warehouse integration connects Warehouse Management Systems (WMS), Transportation Management Systems (TMS), ERP platforms, IIoT sensors, APIs, robotics, AI, and digital twins into a unified supply chain. One packaging manufacturer achieved a 9% rise in overall…
How Oil & Gas Operators Are Enabling Remote-First, Low-Touch Operations
A Practical Shift Toward Remote Operations Oil and gas operators are running offshore platforms from onshore control rooms today, not in a future pilot. In Norway, fully remote onshore control rooms manage offshore platforms using IIoT…
The AI Gap: Can Manufacturing Keep Up With the Pace of Innovation?
Manufacturing faces a widening AI readiness gap: AI capability is doubling every 3.5 months, a 100x improvement in a single year, according to data cited during an IIoT World panel session. Yet industrial adoption remains slow…
8 steps manufacturers can take to digital transformation
The thought of digitalization can be overwhelming. When we first started talking about IIoT or digitalization about a decade ago, the concepts were prescribed as an all-encompassing, top-down approach taking the industrial world from Industry 3.0…