Industrial AI’s Next Phase: Proof Before Scale
· Hybrid Manufacturing

Industrial AI’s Next Phase: Proof Before Scale

At Infinite Uptime’s CXO Circle in Bangkok, the discussion around industrial AI felt different. The room was filled with people who run plants. They weren’t asking whether AI belongs in manufacturing anymore. They were asking how to make it work reliably, across complex environments where every process, every asset, and every operator matters.The consensus was […]

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How Digital Reliability Moves from Maintenance to Performance
· Predictive Maintenance

How Digital Reliability Moves from Maintenance to Performance

In most industrial operations, digital reliability still means one thing: predicting failures before they happen. But as systems mature, that’s no longer enough. The next evolution is about using machine data to drive performance, not just prevention.Seeing What Limits the SystemThe future of reliability depends on two capabilities: understanding residual life and identifying bottlenecks.Residual life assessment estimates how long a […]

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A small valve, a big save: what predictive maintenance catches that SOPs miss
· Predictive Maintenance

A small valve, a big save: what predictive maintenance catches that SOPs miss

Predictive monitoring catches failure modes that standard operating procedures and interlocks cannot: specifically, manual misconfigurations such as a valve left closed after maintenance. On a critical gear pump, IoT sensors detected rising bearing temperature and abnormal vibration within hours of startup, alerting the maintenance team before any mechanical damage occurred.The Gear Pump IncidentA manual valve […]

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By 2028, Plants Won’t Just Run Themselves—They’ll Tell You Why
· Hybrid Manufacturing

By 2028, Plants Won’t Just Run Themselves—They’ll Tell You Why

By 2028, AI-driven industrial plants will not only run autonomously, they will explain their decisions in real time. At the Honeywell User Group in The Hague, Honeywell Chief Product Officer Claudia Chandra and Adlib CEO Chris Huff described this shift as a move from data entry to data fluency, where operators ask questions in natural […]

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The AI Scaling Problem Nobody’s Solving: Why 140 Applications Delivered Zero Scale
· Artificial Intelligence

The AI Scaling Problem Nobody’s Solving: Why 140 Applications Delivered Zero Scale

An upstream oil company in Asia built 140 AI applications across 11 offshore assets. Every application was critical to operations. None of them scaled beyond the site where it was built. Jason Schern, Field CTO at Cognite, identifies fragmented data architecture as the root cause blocking industrial AI from delivering measurable business value.Why Does Industrial […]

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When Yield Becomes Sustainability — Redefining Efficiency in Semiconductor Manufacturing
· Discrete Manufacturing

When Yield Becomes Sustainability — Redefining Efficiency in Semiconductor Manufacturing

In semiconductor manufacturing, every scrapped wafer wastes electricity, water, and chemicals. Siemens’ Brian Taylor states that sustainability “is not a separate track” from yield and throughput. The most efficient fab is, by this measure, the most sustainable one: fewer defects mean less energy burned and less waste produced.As Brian Taylor of Siemens put it, sustainability […]

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Industrial AI in Practice: Siemens Transforms Factory Data into Performance
· Discrete Manufacturing

Industrial AI in Practice: Siemens Transforms Factory Data into Performance

At the Siemens Electronics Factory in Erlangen, Artificial Intelligence is not an experiment—it’s part of everyday production. The facility shows how industrial AI can improve how machines sense, analyze, and act, helping teams turn factory data into measurable results. From assembly to inspection, every dataset contributes to higher process quality, shorter cycles, and smarter energy use.From Connected Data […]

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The End of the Pixel Counter Era — How AI Is Quietly Transforming Semiconductor Manufacturing
· Discrete Manufacturing

The End of the Pixel Counter Era — How AI Is Quietly Transforming Semiconductor Manufacturing

AI is changing how semiconductor fabs inspect wafers and maintain equipment. AI vision systems now train on as few as five images to distinguish real defects from acceptable variation, cutting false alarms and costly reworks. Predictive AI monitors thousands of process variables, including pressure, vibration, flow, and temperature, to prevent unplanned shutdowns before they occur.How […]

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Modernizing Without Disruption: A Practical Approach to Industrial Data Growth
· Digital Disruption

Modernizing Without Disruption: A Practical Approach to Industrial Data Growth

Industrial operations depend on data historians to record what’s happening on the line or in the field. But as systems evolve toward Industry 4.0, many teams find that their historians weren’t built for what’s next — the volume, velocity, and variety of time series data now generated by sensors, PLCs, and edge devices.Replacing these systems […]

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Embedding AI Agents Into Industrial Data Pipelines: What Manufacturers Should Watch
· Artificial Intelligence

Embedding AI Agents Into Industrial Data Pipelines: What Manufacturers Should Watch

AI agents embedded directly inside industrial data pipelines, rather than layered on top as analytics, are now operationally viable for manufacturers. At Cognite’s 2025 event, SVP Laxmi Akkaraju outlined how this approach delivers autonomous root cause analysis, transparent reasoning, and drift-aware model governance across OT and IT systems.Here are the key takeaways and what they […]

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Factory Expertise, Now Scaled by AI
· Process Manufacturing

Factory Expertise, Now Scaled by AI

Every factory depends on expertise — the intuition of a technician who can hear when a nozzle is misaligned, or the experience of an engineer who can trace yield loss back to a single feeder. But that expertise is disappearing fast, even as machines generate more diagnostic data than ever before.This new white paper, GenAI, Operational […]

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