Eviden Digital Twin solution is not only able to comprehensively provide a view of the real-time current state of all assets and processes but also to predict future events, estimate likely future state, and generate appropriate recommendations for actions by leveraging machine learning predictive and prescriptive models, developed by using Azure ML and Azure Data bricks service. Given below are a few challenges faced by the client

Clients have vast amounts of IT and OT data and do not know how to continuously use them to bring business improvements.
Clients spend valuable time and money figuring out their value in isolation.
Clients seldom consider the value of expert knowledge about their assets, systems, and processes, which is captured through semantics knowledge graphs.

A holistic model of assets, systems, and lines to understand what is happening and to establish a closed feedback loop with the physics-based model using data feeds in real-time. The digital twin model contextually binds together diverse digital data threads – enterprise IT data, field OT data, and semantic graph data, and uses trending technologies (IoT, AI, ML, AR) – so that they can be used to look at challenges and business performance objectives.

As a result, our customers will experience the following benefits

Increased efficiency and productivity of assets, processes, people, and organizations.
Implementation across multiple assets, production lines, plants, and geographies while controlling the cost and risk.
Reduced time-to-value for automotive, energy, pharma, process manufacturing, and other industries, with digital twin templates for various assets and processes.

Eviden's Digital TwinEviden International France - SAS

Eviden's Digital Twin

Eviden International France - SAS

Eviden's Digital Twin

Eviden International France - SAS

Eviden's Digital Twin
Eviden International France - SAS