Scalable Real-Time Analytics with Shared Nothing Architecture & Multi-Model Databases
As organizations deal with fragmented data ecosystems, the demand for scalable, high-performance data management is increasing. Combining Shared Nothing Architecture with multi-model databases offers a robust solution for real-time analytics, machine learning, and IoT data processing.…
Optimizing Energy Efficiency in Manufacturing with Condition Monitoring
In today’s competitive manufacturing landscape, operational efficiency and sustainability are essential for long-term success. Industrial motors, which power manufacturing processes, account for nearly 60% of all electrical energy consumption. However, inefficiencies such as misalignment, wear, and improper operation lead…
InfluxData at Hannover Messe 2025: Making Industrial Data Work for You
Hannover Messe 2025 is where manufacturers and industrial companies find practical solutions for real-world challenges. This year, InfluxData is bringing something different: an efficient, cost-effective way to handle industrial data in real time. Visit Hall 14, Booth H38, to…
Are data historians holding us back?
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…
Leveraging Augmented Reality (AR) and Virtual Reality (VR) for Remote Maintenance in Industrial IoT
As industries increasingly adopt the Industrial Internet of Things (IIoT), the need for real-time, efficient, and cost-effective maintenance solutions has never been greater. One of the most promising technologies for improving maintenance processes is Augmented Reality…
Scaling Industrial Data Solutions: Cognite’s Approach to Unlocking Value at Scale
As industries worldwide accelerate their digital transformation, the challenge of scaling data solutions effectively remains a critical hurdle. Cognite, a leader in industrial data software, is tackling this challenge head-on, helping enterprises move beyond pilot projects…
From Reactive to Predictive: How IIoT Is Transforming Maintenance Strategies
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…
HiveMQ Pulse: Transforming Industrial IoT with Distributed Data Intelligence
A New Era of IoT Data ManagementAs 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,…
Moving from Reactive to Predictive: How IoT-Enabled Maintenance Drives Efficiency and Cost Savings
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…
Predictive Maintenance Meets OEE: A Roadmap to Smarter Manufacturing
IntroductionIn today’s fast-paced manufacturing world, the days of making important decisions based only on guessing are over. Companies are streamlining operations by adopting data-driven strategies and real-time information to maintain an advantage in an increasingly competitive…