Articles tagged as Predictive Maintenance

Building Digital Reliability: Why Your Maintenance Strategy Needs External Expertise
· 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 YourselfMany industrial leaders assume that maintaining complete control over digital transformation requires building every capability internally. This approach creates hidden costs that compound over time. […]

Read more →
How Internet of Things Modernizes Outdated Utility Infrastructure
· Renewable Energy

How Internet of Things Modernizes Outdated Utility Infrastructure

Connected devices and sensors support automated energy management and delivery, seamless integrations and predictive maintenance.It’s no secret that much of the US electric grid urgently needs an upgrade. The 1960s and 70s saw the construction of most of the infrastructure, with 70% of the transmission lines exceeding 25 years of age. This aging system is […]

Read more →
Real-Time Data Plumbing: The Hidden Cost of Scaling Predictive Analytics
· Process Manufacturing

Real-Time Data Plumbing: The Hidden Cost of Scaling Predictive Analytics

When manufacturers discuss predictive analytics, the focus often jumps straight to machine learning models or AI. But as the panel “Predict, Prevent, Optimize: Real Results from Augmented Industrial Data”  made clear, the biggest challenge isn’t the math—it’s the plumbing. Data has to move quickly, cleanly, and at scale. Without that foundation, even the smartest model will […]

Read more →
From Predictive to Proactive: Key Takeaways from Cognite’s Impact 2025
· Artificial Intelligence

From Predictive to Proactive: Key Takeaways from Cognite’s Impact 2025

How Industrial AI Is Transforming Operations, Workforce, and Decision-Making at ScaleCognite’s Impact 2025 made one thing clear: the era of reactive operations is over. Across both days, the narrative centered on proactive intelligence, powered by industrial AI and large language models, that augments human expertise, transforms operations, and scales across industries and geographies. AI at the […]

Read more →
Transforming Edge Data Into Real Business Value
· Connected Industry

Transforming Edge Data Into Real Business Value

Industrial companies produce more machine data than ever before.  Sensors, connected equipment, and automated systems generate terabytes of raw data every single day. Yet, most of this information never translates into measurable value.  It either sits unused in data lakes or overwhelms networks and cloud storage with its sheer volume.The result is that this vast […]

Read more →
Inside Tata Steel’s Reliability Mindset: What Really Drives Uptime
· Process Manufacturing

Inside Tata Steel’s Reliability Mindset: What Really Drives Uptime

Walk into any plant, and within minutes, you can tell if reliability runs deep or if it’s just a slogan on the wall. You don’t need a report to see it—you can feel it.As Amit Khanna, VP of Business Excellence at Tata Steel Thailand, puts it, “Housekeeping is the first thing.” A clean, organized plant signals that […]

Read more →
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 […]

Read more →
Why Time-Series Data Is Manufacturing’s Most Underused Asset
· Industrial IoT

Why Time-Series Data Is Manufacturing’s Most Underused Asset

Every machine in a factory is a storyteller. Motors hum, valves pulse, and robotic arms flex—each leaving a digital footprint in the form of vibration signatures, torque readings, and temperature curves. Production systems add more layers: batch IDs, recipe adjustments, and operator inputs. Together, this flood of time-series data could tell manufacturers not only what […]

Read more →
AI in Energy Is Growing Up: From Analytics to Real Operations
· Artificial Intelligence

AI in Energy Is Growing Up: From Analytics to Real Operations

For years, AI in energy meant better dashboards, faster analytics, and smarter reports. Useful — but limited. Now, something more important is happening: AI is moving from describing what happened to deciding what to do next.This shift is already reshaping how operators, engineers, and managers run critical energy systems. It’s not hype — it’s a practical […]

Read more →
Scaling Smart Manufacturing with IIoT, ML, and Generative AI
· Discrete Manufacturing

Scaling Smart Manufacturing with IIoT, ML, and Generative AI

Talk to any plant manager and you’ll hear the same frustration: too many proofs of concept, not enough results. The real opportunity isn’t running another pilot—it’s building scalable systems that deliver measurable value every day. That’s where Industrial IoT (IIoT), machine learning (ML), and now generative AI (GenAI) are starting to prove their worth, not in isolated demos but across […]

Read more →
Rethinking Predictive Maintenance: Why the Hardest 10% of Industrial Assets Demand a New Class of Sensors
· Predictive Maintenance

Rethinking Predictive Maintenance: Why the Hardest 10% of Industrial Assets Demand a New Class of Sensors

Most predictive maintenance sensors work well—until they don’t. When your pump is in an acid-laden environment, your mill bearings hit 120-150°C, or your crane gearbox runs at 4 RPM for half the shift, the majority of “AI-enabled” standard sensors become expensive paperweights. That’s where COOs leading high-reliability plants are quietly shifting from standard predictive AI […]

Read more →
Enabling Connected Operations Through Real-Time Machine Monitoring, Predictive Maintenance, and Automation
· Connected Industry

Enabling Connected Operations Through Real-Time Machine Monitoring, Predictive Maintenance, and Automation

In many industrial organizations, operations and maintenance teams still walk into work with more uncertainty than confidence. There are checklists to follow, logs to review, and a familiar set of problems that always seem one step ahead. Something breaks, someone reacts, and the system limps forward. That rhythm is common across transport, utilities, manufacturing, and […]

Read more →