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Articles tagged as hivemq

Why Factory Data Never Reaches AI

Manufacturers have spent ten to twenty years installing sensors and connecting machines. The data flows, but it rarely reaches AI. At the Industrial AI Summit 2026, Jonathan Alexander of Albemarle Corporation, Peter Sorowka of Cybus, and…

What Industrial AI Controls Today

A cement manufacturer using AI to optimize a flame that changes in fractions of seconds cannot wait for data to travel to a cloud server and back. This gap was a key topic covered at the…

4 Predictive Maintenance Platforms Compared

The best predictive maintenance platforms for manufacturing in 2026 span four layers: real-time data streaming (HiveMQ), asset performance management (Hexagon HxGN EAM), digital twin analytics for heavy assets (Radix APM), and generative AI diagnostics (SAS with…

How Manufacturers are Meeting ESG and Sustainability Goals in 2026

Manufacturers in 2026 meet ESG and sustainability goals through three technology shifts: digital twins that extend asset life and reduce new construction emissions, AI-driven energy systems with documented consumption reductions exceeding 20%, and automated CSRD and…

The 2026 Industrial AI Readiness Report

Industrial companies everywhere, from manufacturing and energy to transportation and smart cities, are being pushed to “do something with AI.” Predictive maintenance, digital twins, edge AI, and even agentic operations are now showing up on roadmaps…

Real-Time Industrial Data: Why Architecture, Not Hype, Determines Success

Every major initiative in smart manufacturing, from predictive maintenance to AI-driven quality control, depends on one foundational capability: reliable, real-time access to industrial data. Yet many organizations invest heavily in analytics tools and dashboards only to…

Survey results: The Future of Industrial IoT in 2025 – Key Trends & Insights

The Industrial Internet of Things (IIoT) is evolving rapidly, bringing new opportunities and challenges for industrial organizations worldwide. Companies across manufacturing, energy, logistics, and transportation are embracing AI-driven automation, predictive analytics, and real-time data processing to optimize operations. However, scalability issues,…

The Ultimate Guide to IIoT Standards and Interoperability for Manufacturers

The Standards and Interoperability digital booklet is an essential resource for manufacturers looking to navigate the complexities of the Industrial Internet of Things (IIoT). As manufacturing processes become increasingly connected, the ability to achieve seamless data interoperability has…