How Coreflux Runs Manufacturing AI on a $35 Raspberry Pi
· Industrial IoT

How Coreflux Runs Manufacturing AI on a $35 Raspberry Pi

Gil Silva, Partnership, Learning & Development Manager at Coreflux, walked through a live demo at Hannover Messe 2026 where a Raspberry Pi running the company’s Language of Things processed factory data, managed energy systems, and communicated with machines in real time. The Porto-based startup has built a system that lets someone automate a factory floor […]

Read more →
From Pilot to Profit: Operationalizing the “Atoms-Bits-Neurons” Framework
· Artificial Intelligence & ML

From Pilot to Profit: Operationalizing the “Atoms-Bits-Neurons” Framework

If the 2026 mandate for manufacturers is the synchronization of physical goods, digital data, and human intelligence, the immediate challenge is execution. While the vision of “Liquid Computing” sets the stage, the transition to a zero-defect floor requires a fundamental shift in how we architect our production lines.This blueprint outlines the three critical pillars of implementation, […]

Read more →
What Does a Fully AI-Driven Factory Look Like?
· Industrial IoT

What Does a Fully AI-Driven Factory Look Like?

A Gatorade bottling line at a FIFA World Cup stadium, producing on site instead of shipping from a central plant, with flavors adjusted by region and Doctor Pepper for the Texas crowd. In this IIoT World article based on a video interview recorded at Hannover Messe 2026, Ujjwal Kumar (President, DI Automation Americas at Siemens) […]

Read more →
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 […]

Read more →
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, […]

Read more →
How Manufacturers are Meeting ESG and Sustainability Goals in 2026
· Connected Industry

How Manufacturers are Meeting ESG and Sustainability Goals in 2026

In 2026, global manufacturers are meeting Environmental, Social, and Governance (ESG) goals by transitioning from manual reporting to autonomous sustainability. IIoT World tracks the technologies and frameworks driving this shift across energy, safety, and compliance. Key strategies include: Environmental: Using Physics-based Digital Twins (e.g., Akselos) to extend asset life and MQTT-based IoT(e.g., HiveMQ) to reduce energy consumption by over 20%. […]

Read more →
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 […]

Read more →
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 […]

Read more →
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 […]

Read more →
Rethinking Operational Precision: Why Indoor Industries Need Their GPS Moment
· Discrete Manufacturing

Rethinking Operational Precision: Why Indoor Industries Need Their GPS Moment

Do you remember life before GPS? Many of us can, but only faintly — folding maps in the car, printing directions, or stopping at gas stations for help. It wasn’t long ago, yet it already feels like another era. GPS quietly changed more than navigation; it made working, transacting, and moving through the world effortless […]

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 →