HiveMQ provides the most trusted IoT data streaming and Industrial AI platform, built on MQTT, to power a reliable, scalable, and AI-ready data backbone.
What HiveMQ is known for:
1. MQTT-native: Built around the MQTT standard, purpose-designed for event-driven, real-time communication
2. Enterprise-grade reliability: Handles millions of concurrent connections with high availability and fault tolerance
3. Industrial-ready: Widely used in IIoT, manufacturing, automotive, energy, smart infrastructure, and data centers
4. Scalable & secure: Supports global deployments with strong security, governance, and observability
5. UNS & IT/OT convergence enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability.
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Epicor Connected Process Control (CPC) enables manufacturers to digitize and standardize production processes through a flexible no-code/low-code manufacturing platform. Combining digital work instructions, operator guidance, process control, and real-time data collection, CPC helps teams improve execution, reduce errors, and maintain consistent production across assembly and manufacturing operations.
With support for connected equipment and shop floor devices, manufacturers can capture production and quality data directly from operations while gaining greater visibility into performance, defects, rework, and process compliance. Product traceability capabilities provide a detailed history of each product's build and inspection record, supporting quality initiatives and continuous improvement efforts.
CPC is well suited for manufacturers managing complex product variations, dynamically presenting operators with the appropriate instructions and process requirements for each build. By connecting people, processes, and production data within a single platform, manufacturers can improve quality, increase operational visibility, and drive more consistent outcomes across the shop floor.
Available on-premises or in the cloud, CPC scales from individual production areas to enterprise-wide manufacturing environments.
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AWS IoT
Devices are found in abundance across various environments, including homes, factories, oil wells, hospitals, and vehicles. As the proliferation of these devices accelerates, the necessity for robust solutions to connect, collect, store, and analyze the data they produce grows increasingly urgent. AWS offers a wide-ranging portfolio of IoT services that integrates seamlessly from the edge of the network to the cloud. One distinguishing feature of AWS IoT is its exceptional capacity to merge data management with sophisticated analytics, providing user-friendly services designed to navigate the intricacies of IoT data. The platform boasts an extensive array of security features, including proactive strategies like encryption and access control for device data, along with ongoing monitoring and auditing services. In addition to this, AWS is leading the charge in fusing artificial intelligence with IoT technology, significantly augmenting device intelligence. Users benefit from the ability to create models in the cloud, which can be deployed to devices, resulting in performance that is twice that of other solutions available in the market. Furthermore, the platform allows users to effortlessly generate digital twins of physical systems, which streamlines management and enhances operational efficiency. The capability to conduct analytics on vast volumes of IoT data without needing a separate analytics infrastructure not only improves functionality but also makes AWS IoT solutions highly attractive. Consequently, managing IoT ecosystems has never been easier or more efficient than it is with AWS's innovative offerings. This comprehensive approach positions AWS as a frontrunner in the IoT landscape, catering to the evolving needs of modern enterprises.
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Siemens Industrial Edge
Siemens Industrial Edge is an industrial edge computing platform built to help manufacturers capture, process, and act on shop floor data in real time. It combines edge devices, applications, OT and IT connectivity, centralized management, and ecosystem solutions into one scalable platform. The solution is designed to make data and software management more efficient across factory environments while reducing IT effort and operational complexity. Industrial Edge allows manufacturers to connect machines, production systems, and enterprise applications so they can gain better visibility into operations. It supports data exchange with cloud platforms, IIoT SaaS tools, ERP systems, MES, SCADA systems, MQTT brokers, and other industrial data sources. The platform helps manufacturers standardize production data, monitor OEE, detect performance issues, and minimize downtime with real-time analytics. Its intelligent maintenance capabilities support predictive insights, proactive intervention, and more efficient resource planning through hybrid edge-cloud architectures. Siemens Industrial Edge also enables software-defined automation with virtualized control and HMI capabilities such as SIMATIC S7-1500V and SIMATIC WinCC Unified for Industrial Edge. Manufacturers can deploy AI models directly on the shop floor to support defect detection, process monitoring, workflow optimization, and quality improvement. Centralized management makes it easier to scale apps and devices across distributed locations while maintaining secure infrastructure and reliable software rollout. With its combination of edge computing, industrial connectivity, analytics, automation, and AI, Siemens Industrial Edge helps factories become more productive, flexible, and data-driven.
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