HiveMQ

Every new site, system or use case shouldn't require another integration project. HiveMQ gives IT architects a reusable industrial data foundation across OT, IT, edge and cloud. Connect operational data once, apply consistent context and governance, and give new applications access without rebuilding the architecture each time.

When plant data is trapped in disconnected systems, teams spend too much time finding problems after they have already affected production. HiveMQ helps OT teams keep industrial data moving reliably, improve real-time visibility and get trusted operational context closer to the floor, so they can identify issues sooner and keep operations running.

The value of industrial data isn't in collecting more of it. It's in what operations can improve with it. HiveMQ connects operational data, gives it trusted context, and turns it into real-time intelligence, helping teams improve uptime, efficiency, and performance while creating a repeatable foundation across sites.

As Industrial AI moves from experimentation to production, organizations are discovering that architectures built for historical analytics struggle to deliver the trusted, real-time operational intelligence AI requires. In this launch event, HiveMQ’s Chief Growth Officer and Chief Technology Officer will introduce the HiveMQ Platform and explain why the future of Industrial AI requires a different architectural foundation: distributed where operations happen and centrally governed where control matters. You’ll learn how you can connect, contextualize, analyze, and act on operational data while maintaining the governance, security, and control industrial environments demand. The session concludes with a live demonstration of the platform and a look at how HiveMQ helps you move from connected data to trusted intelligence and governed action, while building the foundation for the next generation of Industrial AI.

Industrial AI is moving from experimentation to production, and the data architectures built for historical analytics can't deliver the trusted, real-time intelligence it needs. In this launch event we introduce the HiveMQ Platform: intelligence distributed where operations happen, governance centralized where control matters. What you'll take away: How to connect, contextualize, analyze, and act on operational data How to hold the governance, security, and control industrial environments demand A live demo of the platform in action Register below to save your seat.

Most Industrial AI projects work in the pilot and stall in production. The problem usually isn't the model, it's the data architecture. It was built for historical analytics, not the trusted, real-time intelligence that AI needs once it's live in operations. See how to connect, contextualize, analyze, and act on operational data while keeping the governance, security, and control industrial environments demand, with a live demo of the platform in action. Register below to save your seat.