Recursos de Software de Gestión de Conectividad IoT

El soporte empresarial de HiveMQ está diseñado para entornos industriales e IoT siempre activos donde el tiempo de inactividad no es una opción. El nivel Enterprise incluye soporte global 24/7, un tiempo de reacción de 1 hora para problemas de Prioridad 1, un Gerente de Éxito del Cliente dedicado, un experto en HiveMQ asignado y un SLA de tiempo de actividad del 99.99% (HiveMQ Cloud Starter aún ofrece soporte 24/7 con un tiempo de reacción de 8 horas para P1 y un SLA del 99.95%).

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HiveMQ is highly suitable for AI and machine learning workloads in industrial environments because it provides a reliable MQTT-based data backbone that streams real-time, contextual, and governed IIoT data from edge to cloud into your AI/ML pipelines and Unified Namespace. It doesn’t run models itself; instead, HiveMQ Broker, Edge, Data Hub, and Pulse ensure your operational data is clean, structured, and AI-ready for external AI platforms and tools, accelerating use cases like predictive maintenance, continuous intelligence, and real-time production optimization. This architecture is already used by leading manufacturers to power scalable industrial AI, making HiveMQ a strong foundation for both current analytics and future autonomous operations. For more information on how HiveMQ supports Agentic AI in Industrial Operations, visit https://www.hivemq.com/solutions/agentic-ai-in-industrial-operations/

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HiveMQ enables IT/OT integration by replacing fragile point‑to‑point connections with an event‑driven architecture built on MQTT, so OT systems publish data once and multiple IT applications can subscribe in real time. By bridging legacy OT protocols into MQTT and organizing data in a Unified Namespace (UNS), HiveMQ creates a single, consistent source of industrial data that is secure, scalable, and easy to integrate with cloud, analytics, and AI platforms.

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