Social Media Ideas for Ai & Predictive Maintenance

Predictive maintenance in the real world: Why service automation and rollout discipline matter more than models

A predictive maintenance system can flag rising vibration, unusual temperature patterns, or a combination of signals that suggests a component is likely to fail. That may be techni...

Predictive Maintenance for Robot Fleets, from Condition Data to Work Order

Most predictive maintenance projects in robotics stall at the same point. The sensors are installed, the models are trained, the dashboard turns amber, and then nothing happens. An...

Edge AI Maintenance System

The reference design combines edge machine learning and Wi-Fi connectivity to enable predictive maintenance for industrial motors and rotating equipment. Microchip Technology has i...

Beyond detection: the challenge of infrastructure AI

How AI can monitor the growth of cracks and defects in engineering structures to predict the need for repairs

Delivering Flawless Field Service with Predictive Insights and AI

Customer expectations for uptime, reliability, and service quality are higher than ever. At the same time, organizations are managing increasingly complex assets, aging infrastruct...

Building AI-Driven Service Operations: Integrating CRM, Inventory, and Field Service

Artificial intelligence has transformed customer relationship management from a record-keeping function into a data-driven decision support system. Across utilities, high-tech manu...

Machine learning-based fault detection in a R-290 residential heat pump unit – Part 2

In Part 1, we explored how a simulation-based approach was used to generate a large dataset representing both healthy and faulty operating conditions in a residential R-290 air-to-...

AI for Incident Management: What It Actually Automates

Using AI for Incident Management is one of the most popular applications of predictive analytics and automation in ITSM. A recent study found that adoption of AI-assisted incident...

Motive launches AI-powered system to track and manage maintenance workflows

Built into the Motive platform, Motive Maintenance connects fault codes, inspections, maintenance workflows and more. <p>The post Motive launches AI-powered system to track...

Success Stories: AI-Powered Road Repairs

As AI (artificial intelligence) continues to transform how communities manage critical infrastructure, universities are investing in research and innovation that can help public ag...

Can AI Keep Pace With Engineering Complexity?

Emerson’s latest NI Nigel AI enhancements aim to bring domain-specific intelligence into engineering workflows, helping engineering teams accelerate test development while maintain...

Five Ways AI is Transforming Fleet Safety and Operational Performance

AI aggregates and analyzes fleet-related data, creating a comprehensive picture of driver behavior, vehicle performance, compliance issues and operational risks.

AI-Based Substation Load Monitoring And Prediction

The growing electricity demand is increasing substation loading, making accurate load forecasting essential for transformer planning and reliable operation. This article presents a...

How AI Helps Manufacturers Reduce Costs and Improve Quality

How AI Helps Manufacturers Reduce Costs and Improve Quality Moving from reactive quality management to a more predictive, preventive approach...

How AI Is Reshaping the Fleet Safety Landscape

Best-in-class fleets are setting themselves apart by shifting from a reactive approach to fleet safety to a proactive, predictive driver safety model.

Why Vibration Is Becoming the New ‘Vital Sign’ in Industrial Systems

Learn how MEMS sensor technology brings edge AI and vibration monitoring to smart manufacturing, enabling early defect detection and predictive maintenance to prevent downtime.

Accelerating aircraft IFEC diagnostics with agentic AI on AWS

Panasonic Avionics worked with AWS and the AWS Generative AI Innovation Center to build an agentic AI system on Amazon Bedrock, Amazon SageMaker, and AWS Glue that diagnoses in-fli...

How AI in APM Spots Problems Before Users Do

A static alert at 80% CPU or a two-second response time threshold is an absolute judgment applied to a system that operates in relative terms. However, traffic patterns shift by ho...

AI can tell you what’s wrong. It can’t fix it for you.

AI can surface project insights instantly. Acting on them is the real challenge. 

Motive targets fleet repair costs with AI maintenance

Motive is pushing into maintenance software as non-fuel operating costs hit record highs and only 13% of fleets say their systems share data automatically. The post Motive targets...

Can AI Really Predict The Next Car Breakdown? THINKCAR’s Tyler Turns Patterns Into Early Warnings

From Reactive Monitoring to AI-Driven Operational Intelligence

Traditional monitoring often meant chasing alerts and toggling between dashboards after an issue had already impacted users. AWS CloudWatch — long the backbone of metrics, logs and...

Modern datacentre infrastructure management (DCIM) is crucial

AI workloads are pushing traditional datacentre management to its limits. Modern DCIM is now essential, using predictive analytics to ensure resilience, efficiency, and sustainabil...

Five Ways AI is Transforming Fleet Safety and Operational Performance

Fleet managers are responsible for improving efficiency and maintaining service levels while managing increasing fleet complexity. As a result, fleet safety has become a more strat...