Webinar Overview
Industrial manufacturers are generating more data than ever—but most of it is stuck in silos, fragmented across machines, sites, and systems. Consolidating data in the enterprise or cloud is one way to gain insights, but that can be expensive, slow, or hindered by technical and regulatory constraints. To truly capitalize on industrial data, organizations need a modern architecture that connects OT and IT, contextualizes data in real time, and supports both edge and cloud analytics.
In this webinar Ravi Subramanyan and Kudzai Manditereza show you how MQTT and a Unified Namespace (UNS) create a foundation for Distributed Data Intelligence—a next-generation approach that enables smarter, faster decisions across your industrial enterprise.
See how HiveMQ Pulse, the new distributed data intelligence platform, helps OT and IT teams:
- Unify OT and IT data using MQTT and UNS to break down silos and build a scalable architecture.
- Enable real-time intelligence at the edge while sharing only the most valuable, enriched insights to enterprise systems and AI models.
- Deliver reliable, secure data pipelines designed for critical manufacturing operations.
- Improve visibility, control, and agility across factories, equipment, and sensors—without overloading your infrastructure.
The webinar shows real-world use cases, walks you through a live demo, and shares how to start building toward a future-ready industrial data strategy today.
Who should watch: Operations leaders, plant managers, enterprise architects, and digital transformation strategists looking to modernize manufacturing data infrastructure and drive business outcomes with real-time insights.
If you'd like to dive deeper, read our blog Overcoming Data Chaos in Smart Manufacturing with Real-Time Data Intelligence.
