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IoT for Energy and Utilities: Engineering for Modern Infrastructure
For energy and utility operators, IoT is no longer a forward-looking experiment. It is the connective layer that turns aging, siloed infrastructure into something measurable, controllable, and economically viable to operate at scale. In practical terms, that means instrumenting generation, transmission, and distribution assets with sensors and edge devices, moving the resulting telemetry through resilient data pipelines, and applying analytics that close the loop - from condi
Apr 2820 min read


Building IoT Device Platforms: Core Components & Engineering Considerations
IoT device platform development means building a centralized software framework that connects, manages, and operates IoT devices at scale. These platforms serve as the backbone of IoT ecosystems - handling device communication, telemetry transport, data processing, and integration with external systems and applications. A well-designed IoT platform brings together everything needed to run a connected device ecosystem: device connectivity, data storage, real-time analytics, se
Apr 2716 min read


AI and Machine Learning-Based Anomaly Detection
In today’s digital environments, anomalies in data patterns occur almost every day. Affecting both data in transfer and static data, these anomalies can cause large interruptions if they are not intercepted. Some real-world data anomalies – and their impact – include the following: Energy production by wind farms and lack of predictive maintenance may lead to severe hardware failure. Application and web delays can cost businesses significant income losses. Large web-based ret
Sep 13, 202112 min read
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