Industry 4.0 Tag

The role of the data historian has changed a lot since the 1980s, and it’s time to rethink how it serves us. Industry 4.0 demands better integration between OT and IT systems, allowing teams to centralize data and extract real-time

In modern manufacturing, seamless data flow between operational technology (OT) and information technology (IT) is critical for efficiency and innovation. During a recent panel discussion, Ravi Subramanyan, Director of Industry Solutions Manufacturing at HiveMQ, highlighted the growing role of MQTT

Industrial maintenance…a headache? Yes. Thief of time? Absolutely. Reputation killer? It has its moments! These are the results of relying on a reactive approach to industrial maintenance. Reacting when equipment failures occur repeatedly without warning leads to operational downtime, production

The concept of the “Factory of the Future” is no longer a distant vision; it is an achievable reality driven by the integration of advanced technologies, collaborative ecosystems, and forward-thinking strategies. Manufacturers seeking to transform their operations must balance innovation

A New Era of IoT Data Management As industrial enterprises accelerate their digital transformation, managing and leveraging real-time operational data remains a critical challenge. HiveMQ, a leader in enterprise MQTT solutions, has introduced HiveMQ Pulse, a next-generation distributed data intelligence platform designed to unify, transform, and contextualize data

Organizations across manufacturing, facility management, and rental equipment often face operational bottlenecks from unplanned downtime. By integrating real-time IoT sensors and data-driven insights, businesses can reduce maintenance costs and mitigate critical failures before they escalate. Case studies show significant financial

Since the Industrial Revolution, the manufacturing sector has generated vast amounts of data—too much for humans to process manually. So, industries like automotive, electronics, textiles, and pharmaceuticals are now leveraging artificial intelligence (AI) and machine learning (ML) to transform raw

For modern manufacturers to stay relevant in an ever-expanding global market, they have to overcome a plethora of challenges that demand innovative solutions. Rising costs of raw materials and energy have placed considerable strain on profit margins, causing manufacturers to

Many manufacturers find themselves trapped in “pilot purgatory,” where digital transformation initiatives fail to scale beyond isolated proof-of-concept projects. While these pilots often demonstrate promise, they rarely deliver enterprise-wide impact due to fragmented systems, lack of interoperability, and limited scalability.