Leverage industrial AI and machine learning to help improve operations and reliability and reduce costs
Predictive analytics software mines historical data and employs advanced analytics and modeling techniques to determine patterns and trends that can predict future scenarios. This helps identify risks, opportunities, and outcomes. It is essential to any digital, data-driven strategy.
GE Digital’s predictive analytics solutions combine deep domain expertise with applied analytics and digital twin technology. Predictive maintenance tools rapidly identify problems, discover root causes, and optimize operations in a variety of industrial settings.
Our Asset Performance Management (APM) software is a suite of tools using predictive maintenance technologies to monitor assets to reduce downtime, boost availability, and increase reliability. By detecting problems early, predictive maintenance software turns costly emergency or unplanned shutdowns into planned, scheduled downtime, saving time and money.
SmartSignal enables a smart maintenance strategy by helping to detect, diagnose, forecast, and prevent emerging equipment failures on hundreds of common industrial assets. Powered by unique Digital Twin analytics, SmartSignal’s early detection and time-to-action forecasting drive improved reliability with maximum operations and maintenance efficiency, making smart maintenance easy and cost-effective.
Our digital grid application portfolio combines GE’s power domain expertise with artificial intelligence and machine learning to deliver transformational predictive insights. A variety of human-guided energy analytics work with existing infrastructure to achieve network level optimization and provide fast time-to-value.
Traditional approaches to vegetation management and asset inspection are costly, risky and inefficient. Our Visual Intelligence platform uses human-guided AI to provide a cost-effective and holistic image of the grid, which helps reduce outages, improve safety, and reduce the probably of catastrophic events such as wildfires or major regional outages. This drives down costs and improves reliability and safety.
Proficy CSense manufacturing analytics software uses AI and machine learning to enable process engineers to mine and analyze data from multiple industrial sources—including people, machines, and processes in a plant. It uses that data to rapidly identify problems, discover root causes, predict future performance, and automate actions to improve quality, utilization, productivity, and delivery of operations.
Proficy’s cloud-based operational analytics software provides measurable improvements right out-of-the-box. Get advanced warning and automated diagnosis of quality, production, downtime, and asset reliability problems. This cloud-based operational analytics solution helps teams gain data visibility, reduce costs, and drive optimization at enterprise scale.