Category: Articles
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Best Real-Time Machine Monitoring Platforms for Manufacturing in 2026
Real-time machine monitoring platforms help manufacturers track machine status, production counts, cycle times and downtime. By collecting data from PLCs, controllers or sensors, they provide visibility into shop-floor performance and support Overall Equipment Effectiveness (OEE) analysis. This guide compares eight real-time machine monitoring platforms for manufacturing in 2026: MachineMetrics, Vorne XL, Amper, Evocon, Ignition with…
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Beyond Browser HMI: Context-Aware AI Engineering for SCADA and IoT
An experienced system integrator could reasonably ask why browser-based engineering should influence a platform decision. Operators already access their applications through a browser, while engineers use a desktop designer. Installing that designer is not particularly difficult, and a capable cross-platform development environment is not suddenly inadequate because it runs outside a browser. For years, “nothing…
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IoT Platform Pricing Models Compared: Per Device, Per Message and Fixed-Instance Costs
IoT platform pricing models differ in what they count: devices, messages against a size increment, data volume, users or instance capacity. Most published price lists checked combine two or more, and many add a custom enterprise tier. Metered bills follow the telemetry profile (message rate and size) and can be forecast once measured. Fixed-instance pricing…
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SCADA vs MES vs ERP: What Each System Does and How They Work Together
SCADA, MES, and ERP manage different parts of manufacturing: SCADA supervises equipment and processes, MES coordinates production execution, and ERP handles business planning and transactions. Understanding SCADA vs MES vs ERP helps manufacturers define system responsibilities, connect plant-floor data to business operations, and decide when to integrate existing systems. SCADA works with PLCs to collect…
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Best On-Premise IoT Platforms for Industrial Use
An on-premise IoT platform runs on infrastructure an organisation owns or controls, such as an on-site data centre, industrial server, edge gateway, or private cloud. It is commonly used for industrial IoT (IIoT) deployments that need local data processing, operation during connectivity outages, direct integration with PLCs and industrial protocols, or tighter control over data…
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Modbus vs OPC UA: Which Is Better for Industrial IoT?
Modbus and OPC UA are both widely used in industrial automation, but they serve different integration needs. Modbus is generally simpler for bounded device communication, while OPC UA provides richer data modelling, stronger built-in security mechanisms, and more structured interoperability options. This article compares their architecture, data structure, security, interoperability, performance, PLC and SCADA integration,…
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Low Coding vs Vibe Coding vs AI-assisted Low Coding
I’m getting rather used to hearing that vibe code will completely deprecate the low/no code approach that is gradually becoming a standard even for mission critical high-load apps. And indeed, if I can take a mic and just explain how my product should work, why delve into anything more complicated than that? However, it turns…
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Azure IoT Central Alternatives: IoT Platforms Compared
Azure IoT Central alternatives include application platforms such as Iotellect, ThingsBoard, Cumulocity, ThingWorx, Losant, and Ubidots, as well as architectures built with Azure IoT Hub, Azure IoT Operations, or AWS IoT Core. The right choice depends on what you need to retain or improve: device management, dashboards, industrial connectivity, application customization, deployment flexibility, or predictable…
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Best Predictive Maintenance Software for Manufacturing: A Complete Buyer’s Guide
The best predictive maintenance software for manufacturing collects machine data, monitors asset health, detects anomalies, predicts failures, triggers alerts, and integrates with maintenance or ERP systems. That is the evaluation scope, not a universal product bundle. The real test starts after a rule or model raises an alert. The right choice depends on consequential failure…
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Avoiding the Chaos: How Do IIoT Platforms Constrain AI Agents within Critical Infrastructures
Iotellect has always meant “intellect for IoT”. Only the recent evolution of AI, however, is revealing what that idea may ultimately mean for industrial systems. AI agents are rapidly assuming important roles at both ends of the IoT application lifecycle: engineering applications and autonomously operating live infrastructure. This turning point dramatically changes the role of…
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