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, and entirely custom data connections between them. As organizations deploy artificial intelligence, that absence of standardized data architecture has […]
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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 […]
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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 ARC Advisory Group outlined the operational frameworks required to deploy Edge AI for maintaining infrastructure uptime, covering prescriptive analytics, […]
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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 Days or events/presentations we attended, the following technologies define the 2026 tech stack for industrial excellence.1. Agentic AI: Autonomous […]
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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 pillars: Agentic AI, Unified Namespaces (UNS), and Industrial DataOps.While these three form the structural “backbone,” a total of six […]
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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 floor to the cloud and back without loss, latency, or complexity.This is where edge-to-cloud synchronization emerges not as an […]
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Data is more than a byproduct in today’s industrial landscape—it’s the backbone of smart operations. From sensors and Programmable Logic Controllers (PLCs) to building management systems (BMS) and cloud platforms, manufacturers generate an enormous amount of data every second. But data alone doesn’t drive performance. The real value lies in how that data is structured, […]
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At Hannover Messe 2025, a compelling conversation unfolded between HiveMQ and Snowflake leadership on a topic often underestimated in industrial transformation: data movement architecture. Behind all the talk of AI, analytics, and predictive insights lies a more foundational challenge—how to reliably, securely, and cost-effectively get data from machines to the cloud in real-time.For industrial companies […]
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A New Era of IoT Data ManagementAs 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 unify, transform, and contextualize data at the source.Announced at ProveIt! Conference 2025, HiveMQ Pulse is purpose-built for Industry 4.0. It provides organizations […]
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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 ability of different devices, systems, and platforms to seamlessly communicate and share information. One solution gaining traction in the […]
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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 will explore how standards and architectures are evolving to address these challenges.The Role of StandardsStandards are essential building blocks […]
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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 IIoT sources. By integrating local and centralized data management strategies, this architecture approach aims to enhance real-time data analysis […]
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