Industrial environments have been built one use case at a time, leaving most large manufacturers with fragmented IT and OT infrastructure. A manufacturer with 10 sites might run four different home-grown MES platforms, three different ERPs,…
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…
Edge AI enables energy companies to monitor aging brownfield infrastructure by processing sensor data locally, replacing the diagnostic expertise lost as experienced engineers retire. At IIoT World Energy Day, panelists from TDK SensEI, HiveMQ, PrivacyChain, and…
Manufacturing has shifted into a phase of scaled execution. Today, leaders build autonomous systems that contextualize, secure, and act on data in real time. Based on insights from industry leaders at previous editions of IIoT World…
The manufacturing industry has reached a critical inflection point. The era of "pilot purgatory" is over. Based on the insights from IIoT World Days 2025, the next phase of industrial transformation is defined by three core…
As manufacturers accelerate their digital transformation journeys, the limitations of fragmented data environments are becoming more visible—and more costly. The promise of smart manufacturing hinges on one capability: enabling data to move seamlessly from the factory…
Proprietary data silos remain one of the largest barriers to scaling industrial process optimization across multi-vendor factory environments. Open data standards such as OPC UA, MQTT, and Sparkplug B offer a path forward by establishing common…
Every major initiative in smart manufacturing, from predictive maintenance to AI-driven quality control, depends on one foundational capability: reliable, real-time access to industrial data. Yet many organizations invest heavily in analytics tools and dashboards only to…
A New Era of IoT Data Management As industrial enterprises accelerate their digital transformation, managing and leveraging real-time operational data remains a critical challenge. HiveMQ, a leader in enterprise MQTT solutions, has introduced HiveMQ Pulse, a next-generation distributed data intelligence platform designed to…
The Industrial Internet of Things (IIoT) offers incredible potential for manufacturers to optimize their operations, enhance efficiency, and drive innovation. However, harnessing the true power of IIoT requires overcoming the hurdle of data interoperability - the…
The increasing volume and diversity of IIoT data present significant challenges for interoperability and integration. While standards are crucial for establishing a common language for data exchange, they alone cannot solve all the challenges. This article…
The ability to efficiently manage and analyze time series data is crucial in many sectors and industries. This article explores the development of a hybrid architecture designed to optimize the handling of such data, particularly from…