Introduction

The Simulation Digital Twin Cosmo Tech Platform is a managed application using a next-gen hybrid AI technology that provides holistic and dynamic digital twin simulation to predict the evolution of organizations in uncertain environments and to optimize all levels of enterprise planning and decision making.

With a 360° view of their organization, decision makers can run unlimited scenarios to better understand the current behavior of their complex organization, anticipate all possible situations even under conditions that have never occurred before.

New features and upgrades

Hereinbelow are highlighted the main updates of the Cosmo Tech Simulation Digital Twin Platform 2.2.0.

Changes

Twin Data Layer

• Internal twin cache becomes a twin data layer: it can be interacted with through 4 new endpoints for importing, querying and deleting twin instances (the fourth one reports import job status).
• Manual / triggered data layer synchronization with data source can be performed with the import endpoint.
• New Azure Disk service for persisting twin data layer across platform deployments.
• New connector to use Azure Storage as a source for your datasets.

Performance improvements

• ADX latency has been reduced by forcing lower case for database names.
• Reduced latency between run step containers in Argo.

Security

The file type is now checked when uploading a file (configuration file, mass action lever…) through the platform API.

Documentation

The documentation is available on the Cosmo Tech Developer Portal: Cosmo Tech Simulation Digital Twin Platform Help.