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Rethinking Industrial Alarms for a Safer, Smarter Plant
The future of industrial alarms lies in their transformation from basic alert mechanisms into intelligent, integrated components of a larger operational ecosystem. -
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Ask the Automation Pros: How Can You Ensure the Best Rate of Change in the PID Manipulated Variable?
What is the best strategy to get the best rate of change in the PID for a manipulated variable, or is there a more elegant solution within the control strategy itself? Answer includes example applications and guidance on how PID tuning can meet objectives. -
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Ask the Automation Pros: What Topics Should Be Covered in an Undergraduate Process Control Course?
In the latest edition of the Ask the Automation Pros column, the pros share their insights on what topics should be covered in an undergraduate first course on process control, particularly in chemical engineering, but possibly also in mechanical and electrical engineering. -
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Ask the Automation Pros: What Are the Prospects for an Autonomous Process Manufacturing Unit?
In the latest edition of the Ask the Automation Pros column, the pros share their insights on prospects for an autonomous process manufacturing unit. -
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Ask the Automation Pros: What Are the Process Control Simulation Requirements for Automation Projects?
Simulation of process control can ensure productive automation projects. But how much effort should be allocated to simulation, testing and training. ISA’s Automation Professionals weigh in. -
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Simplifying Likelihood in OT Risk Assessments: A Practical ISA/IEC 62443 Perspective
Let's discuss a practical approach to simplify likelihood assessment in OT environments by defining it as a function of access exposure and exploitability. -
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Understanding the Relationship Between SEMI E187 and ISA/IEC 62443 in Equipment Security Implementation
This article explores the practical relationship between SEMI E187 and ISA/IEC 62443, highlighting areas of alignment as well as nuances where the standards partially overlap. -
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AI-Driven Observability for Cloud-Native Industrial Systems
Modern industrial systems are becoming increasingly complex due to cloud-native architectures and distributed services. Let's explore how AI-driven observability improves system reliability, reduces incident response time and provides actionable insights in real-world environments. -
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OpenClaw Explained: The Viral AI Agent’s Surge and Security Risks
The tool operates with broad system privileges and autonomous execution capabilities, demonstrating how natural language can directly control real systems. -
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Cooling Cannot Run on Guesswork: Day One Measurement Confidence for AI Data Centers
With the increasing server hardware densities of hyperscale and AI data center facilities, operators are re‑evaluating utility infrastructure to support faster commissioning, reliable cooling performance and long‑term uptime. -
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Creating a Process Optimization Culture
As digital transformation advances throughout manufacturing organizations, incorporating advanced process analytics technologies into continuous improvement programs will foster a process optimization culture and increase employee engagement. -
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The Industrial Reality Check: Why Factory Success Depends on Execution, Not Ambition
Execution means improving data visibility and equipment reliability incrementally, not waiting for a complete digital overhaul that may never come. -
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How to Measure Moisture in the Pulp and Paper Industry
Monitoring moisture is critical for success in the pulp and paper industry. Near-Infrared Moisture meters provide a way to quickly and reliably determine moisture levels. -
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The Critical Role of Gas Chromatography in CCUS Success
Process gas chromatography is one of the most consistent tools supporting the safe, compliant and optimal operation of processes using carbon capture, utilization and storage (CCUS). -
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Humanoid Robot Production Surged Tenfold in 2025, But Commercial Deployments Remain Limited
By the end of 2025, most real-world application projects remained small-scale proof-of-concept (POC) deployments, predominantly driven by government subsidies, strategic investments and supply chain partnerships. -
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The Quiet Cost of Maintenance Inefficiency
When paired with strong data discipline, AI can help organizations identify where time, effort and budget are being misallocated. -
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How Data Maturity Brings Industrial AI Agents Within Reach
Manufacturers can build a foundational data infrastructure that enables them to adopt agents faster and with less outright risk. -
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Hands-On Automation Learning Prepares Students for the Future
Kettering University developed a collaborative program between education and industry to prepare students for meaningful, high-impact careers. -
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Monolithic Namespace Is a Liability, Not a Strategy
The industry has been so focused on solving the integration problem that it has ignored the failure mode problem. -
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Industry 5.0: The Digital Journey of Enterprise-Wide Intelligence
The quest for optimization begins with digital connectivity, unlocking opportunities for insight generation, automated modeling and predictive maintenance, all essential for productivity in today’s demanding process environments.




















