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 […]

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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 […]

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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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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 […]

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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 […]

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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 […]

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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 […]

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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 […]

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Why Most IoT Data Is Useless—And What Manufacturers Can Do About It
· Connected Industry

Why Most IoT Data Is Useless—And What Manufacturers Can Do About It

Without high-quality asset master data, manufacturers risk wasting 90% of their IoT insights. Here’s how to change that.Manufacturers are racing to implement AI, digital twins, and predictive analytics—but most are leaving value on the table. According to IBM, 90% of industrial data collected goes unused. That’s not a tech failure. It’s a data foundation failure.During […]

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How Oil & Gas Operators Are Enabling Remote-First, Low-Touch Operations
· Process Manufacturing

How Oil & Gas Operators Are Enabling Remote-First, Low-Touch Operations

A Practical Shift Toward Remote OperationsOil and gas operators are increasingly transitioning to remote-first infrastructures. With mature IIoT platforms, edge AI, and automation, facilities are now being managed with minimal on-site personnel—especially offshore. This isn’t a future-state vision; it’s already happening in regions like Norway, where onshore control rooms are fully running offshore platforms.Reducing the […]

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The AI Gap: Can Manufacturing Keep Up With the Pace of Innovation?
· Artificial Intelligence

The AI Gap: Can Manufacturing Keep Up With the Pace of Innovation?

AI is moving faster than most industries can digest. According to data cited during a recent IIoT World session, AI capability is now doubling every 3.5 months—a 100x improvement in a single year. That’s not evolution; that’s exponential transformation. For industries like manufacturing and energy, the real question isn’t whether AI will shape the future, but […]

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The Cost of Bad Data: Why Time Series Integrity Matters More Than You Think
· Connected Industry

The Cost of Bad Data: Why Time Series Integrity Matters More Than You Think

Data plays a critical role in shaping operational decisions. From sensor streams in factories to API response times in cloud environments, organizations rely on time-stamped metrics to understand what’s happening and determine what to do next. But when that data is inaccurate or incomplete, systems make the wrong call. Teams waste time chasing false alerts, […]

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