Digital Twin
Apply advanced analytics and machine learning to reduce operational costs and risks
Digital Twin
Implementing Digital Twins is becoming a strategic necessity for many industrial companies. Although investment has increased, requirements and expectations have eroded, especially those of Digital Twin models. GE is working directly with customers to build and operationalize Digital Twins in harmony with their business processes and asset management functions.
Explore the basics of Digital Twin models:
Apply advanced analytics and machine learning to reduce operational costs and risks
Optimizing the performance of assets to increase reliability and availability, minimize costs, and reduce operational risks.
Optimize costs and improve reliability while reducing risk to keep your teams and communities safe