Foundational UNS patterns for agent-ready manufacturing
Learn the four Unified Namespace (UNS) design patterns that determine whether your manufacturing architecture is ready for AI agents or requires costly rework.
Building a scalable data foundation for real-time operational intelligence
A technical white paper on the four-stage Connect, Contextualize, Analyze, Act architecture for turning fragmented manufacturing data into real-time operational intelligence and a governed foundation for agentic AI.
A 12-week plan to make manufacturing data agent-ready using UNS
A 12-week plan turns siloed manufacturing data into an agent-ready Unified Namespace, delivering measurable ROI at every phase. See where to start today.
Securing agentic AI in OT authentication and authorization for factory agents
Explore how to secure agentic AI in OT with verifiable agent identity, least-privilege authorization, & broker-level command enforcement for factory agents.
MQTT vs REST vs message queues: Which data architecture is best for industrial AI?
Industrial AI requires continuous, reliable data streams but not every integration approach was designed for that. Compare MQTT, REST integrations and traditional message queues to understand which architecture scales best for AI workloads.
From data chaos to agent-ready order in smart manufacturing using UNS
Data chaos costs manufacturers 15-25% of operating budgets. See how reliable streaming, semantic context and governance make operational data agent-ready.
The business case for an agent-ready unified namespace in industrial AI
An agent-ready Unified Namespace cuts integration costs and gives AI agents the context to reason and act safely. See the manufacturing business case.
Real-time vs. historical data: Why industrial AI needs both
Industrial AI needs real-time and historical data together, not one or the other. See why a live streaming layer gives AI inference the context it is missing.
Data interoperability: The foundation for AI agents in manufacturing
Interoperable, semantically rich operational data is the prerequisite for deploying AI agents that can reason and act safely across manufacturing systems.
How to Achieve Global OEE with a Unified Namespace
Achieve global OEE across plants with a Unified Namespace. See how HiveMQ streams OT data, normalizes KPIs, and enables multi-site benchmarking.
Edge AI in Manufacturing: Why Is It Harder Than Building the Model
Edge AI deployment challenges go beyond the model: compute constraints, connectivity gaps, lifecycle management, and security exposure at the production line.
Why Your Manufacturing Strategy Needs Agentic AI
Learn how Agentic AI transforms manufacturing with autonomous systems, smarter supply chains, and scalable innovation.
Accelerating Industrial AI in 2026
In this panel conversation, leaders from Inductive Automation, HighByte, and HiveMQ unpack new findings from our 2026 Industrial Data & AI Readiness Survey.
Ford Modernizes Global Manufacturing with Real-Time Data for Intelligent Operations
Learn how Ford uses HiveMQ to unify real-time manufacturing data across global plants, reducing costs, improving uptime, and accelerating predictive maintenance and AI initiatives.
Inside CONNACK! Episode 5: How UNS Fuels Industrial AI
Supercharge your industrial AI! Join CONNACK! Episode 5 in Chicago on Oct 30 to discover data-centric architecture for intelligent manufacturing. Register now!
Most Manufacturing Data Isn’t AI Ready, Fix the Data Foundation Not the Model
Most manufacturing data isn’t AI-ready. Learn why fixing the data foundation with a Unified Namespace and MQTT is key to scaling AI in industry.
How HiveMQ Pulse Is Changing Smart Manufacturing
In this exclusive session, Walker joins HiveMQ to explore how Pulse is redefining the Unified Namespace - not just as a concept, but as a scalable system for structured, governed, and real-time data across OT and IT.
Building A Data Foundation for AI Readiness in Manufacturing
Unlock AI success in manufacturing. Start with the right data foundation. Discover how to future-proof your operations and drive smarter decisions.
Industrial IoT Data Streaming for Continuous Intelligence Through AI/ML
Industrial IoT data streaming unlocks continuous intelligence with AI/ML, driving smarter decisions, better performance, and real-time insights.
Unified Namespace for OT/IT Integration with MQTT and WinCC Open Architecture
Discover how Unified Namespace with MQTT and WinCC OA enables seamless OT/IT integration, real-time data flow, and structured industrial data modeling.
The Business Impact of Real-Time Dashboards and Industrial IoT Data Streaming Analytics
Discover how real-time dashboards and industrial IoT data streaming enable instant insights, faster decisions, and smarter operations across manufacturing.
A Practical Guide to IIoT Data Streaming Implementation in Smart Manufacturing
Discover how to implement IIoT data streaming in smart manufacturing with this practical guide covering key stages, benefits, and insights.
Building Industrial IoT Data Streaming Architecture with MQTT
Learn how MQTT enables scalable, real-time industrial IoT data streaming with event-driven architecture and publish-subscribe patterns for smart manufacturing.
Industrial IoT Data Streaming: What It Is and How to Get Started
Discover how Industrial IoT data streaming transforms manufacturing with real-time insights, predictive maintenance, and IT/OT convergence.