Implementing Edge AI for Asset Health Monitoring in Energy Infrastructure
· Energy

Implementing Edge AI for Asset Health Monitoring in Energy Infrastructure

The energy industry is currently managing the transition of aging brownfield assets while addressing a shift in workforce expertise. At IIoT World Energy Day, a panel of industry experts discussed the operational frameworks required to deploy Edge AI for maintaining infrastructure uptime.Addressing the Expertise Gap with Prescriptive AnalyticsAs experienced engineers retire, energy companies lose the […]

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How Agentic AI Changes Factory Data Requirements
· Artificial Intelligence & ML

How Agentic AI Changes Factory Data Requirements

Most factory data architectures today serve between 10 and 50 consuming systems. Agentic AI will push that number into the thousands, a 100x increase in edge-based data consumers. The ISA-95 layer-by-layer model was not designed for this volume, and manufacturers need to rethink their data infrastructure before scaling AI agents. IDC reports that 56.6% of […]

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Why Your Factory’s AI Keeps Failing: The One Document You Forgot
· Artificial Intelligence & ML

Why Your Factory’s AI Keeps Failing: The One Document You Forgot

You installed the sensors. You bought the AI license. You hired the data scientist. Yet your million-dollar pilot is stuck, delivering quirky answers that no one on the floor dares to trust. The problem isn’t your algorithm. It’s the coffee-stained, handwritten maintenance log from 1998 that your new AI has no idea how to read.In […]

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Industrial Foundation Models Could Become Europe’s Strongest Manufacturing Advantage
· Artificial Intelligence & ML

Industrial Foundation Models Could Become Europe’s Strongest Manufacturing Advantage

Manufacturing knowledge is fragmented and mostly unusedEuropean manufacturers collectively hold decades of deep production knowledge: how materials behave, how machines are tuned, how quality issues emerge, how processes fail and recover. Yet this knowledge remains locked inside individual companies, plants, and teams. It is applied locally, rarely reused, and almost never scaled.At the same time, […]

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The Signal vs. Noise Ratio: Solving Alert Fatigue in the Modern Factory
· Artificial Intelligence & ML

The Signal vs. Noise Ratio: Solving Alert Fatigue in the Modern Factory

In 2026, the primary barrier to manufacturing efficiency is the abundance of data. Modern plants now monitor tens of thousands of assets and hundreds of thousands of individual points. However, this connectivity has created a new operational hazard: Alert Fatigue. When a plant manager receives thousands of notifications a day, the most critical “signal” is often […]

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Why Smart Vibration Sensors Still Use Wires
· Industrial IoT

Why Smart Vibration Sensors Still Use Wires

Piezoelectric vibration sensors have been the factory standard for more than 50 years. According to Dr. Antoine Filipe, CTO of Tronics Microsystems, a TDK Group Company, MEMS-based digital sensors are now following the same replacement curve that already swept through consumer electronics and aerospace. This article examines why the shift from analog to digital vibration […]

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How One Utility Secured 650,000 Power Connections
· Cybersecurity

How One Utility Secured 650,000 Power Connections

With estimated cybercrime costs reaching $10.5 trillion between 2020 and 2025, the energy sector has become a primary target internationally. Recorded attacks in recent years have left 600 apartment buildings without heat for two days and idled a power plant for three weeks. Genesis Energy, New Zealand’s largest electricity and natural gas retailer and a […]

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The OT Veto: When Your Plant Floor Has Final Say on Your Digital Strategy
· Digital Disruption

The OT Veto: When Your Plant Floor Has Final Say on Your Digital Strategy

There is an unspoken rule in manufacturing technology that overrides every software license, every boardroom mandate, and every digital transformation roadmap. It is the OT Veto. This isn’t a failure of leadership or vision. It is the logical, inevitable outcome of a system where one group is measured purely on the certainty of production, and […]

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Time Series Database Buying Guide for Energy
· Energy

Time Series Database Buying Guide for Energy

The data challenge facing energy operations todayPower grids, renewable energy sites, battery storage facilities, substations, and smart meter networks generate millions of time-stamped data points every second. This telemetry from sensors, SCADA systems, and field devices is the foundation for real-time monitoring, predictive maintenance, and grid stability. Without the right data infrastructure, none of it […]

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The Data Readiness Paradox: Why Smaller Manufacturers are Primed to Scale AI Faster
· Artificial Intelligence

The Data Readiness Paradox: Why Smaller Manufacturers are Primed to Scale AI Faster

There is a prevailing assumption in manufacturing that advanced AI is a “big company game.” Global enterprises have the deep pockets, dedicated data scientists, and massive datasets required to make AI work. However, evidence from the shop floor suggests a surprising inversion. While the largest organizations are spending more, Small and Medium Manufacturers (SMMs) are often more […]

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The Investment Filter: How AI Exposes the True Cost of Your Operational Data
· Predictive Maintenance

The Investment Filter: How AI Exposes the True Cost of Your Operational Data

For manufacturing leadership, every capital request comes with a projection: a return on investment, a payback period, a net present value. These metrics are designed to filter good bets from bad. But there is a new, critical filter emerging in the era of artificial intelligence, and it has nothing to do with financial modeling. It […]

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Why Manufacturers Can’t Scale Digital Innovation Without Internal Data Governance
· Industrial IoT

Why Manufacturers Can’t Scale Digital Innovation Without Internal Data Governance

Why Manufacturers Can’t Scale Digital Innovation Without Internal Data GovernanceThe real blocker isn’t technology, it’s trustManufacturers often agree that wider data sharing across plants, partners, and supply chains is necessary to stay competitive. The goals are practical: improving efficiency, reducing friction in collaboration, and turning operational data into measurable value. Yet many initiatives never move […]

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