Azure Digital Twins

Apply advanced analytics and machine learning to reduce operational costs and risks. Digital twins are a key piece of the digital transformation puzzle. They create an accurate virtual replica of physical objects, assets, and systems to boost productivity, streamline operations and increase profits. Digital Twin is most commonly defined as a software representation of a physical asset, system or process designed to detect, prevent, predict, and optimize through real time analytics to deliver business value. At GE Digital, we are focused on how digital twin software can help our customers across three core areas: Asset, Network, and Process. Monitor, simulate and control an asset, process or network as an effective strategy to improve system performance. Protect the health and safety of employees, the environment, and business objectives, by reducing asset- and process-related incidents and avoiding unplanned downtime.

Use your existing IoT, video, and enterprise application data where it already lives, without needing to reingest or move the data to another location. Save time with an automatically generated knowledge graph that binds your data sources to virtual replicas of physical systems to accurately model real-world environments. Get an immersive 3D view of your systems and operations to optimize efficiency, increase production, and improve performance. AWS IoT TwinMaker makes it easier for developers to create digital twins of real-world systems such as buildings, factories, industrial equipment, and production lines. AWS IoT TwinMaker provides the tools you need to build digital twins to help you optimize building operations, increase production output, and improve equipment performance. With the ability to use existing data from multiple sources, create virtual representations of any physical environment, and combine existing 3D models with real-world data.