DXC MLOps Advisory and Implementation Service

MLOps is a mix of processes, cultural changes and technology that allows companies to move their AI prototypes into production quickly and reliably. By integrating processes, technology and automation, DXC‘s MLOps services accelerate deployment times, ensure robust operations and achieve end-to-end traceability for machine learning models.

The DXC MLOps Quickstart for Microsoft Azure In collaboration with Microsoft, DXC‘s AI Architects and Engineers developed a ready-to-use MLOps base environment that leverages Azure native services and can be deployed fully automatically. It is the perfect start for the MLOps journeys of organizations that want to leverage Microsoft native services without buying yet another platform specifically for MLOps.

DXC‘s engagement model for MLOps on Microsoft Azure builds upon the quickstart solution and is designed in three steps:

1. Asset-based Advisory Sessions to design organizational models, processes and technological architectures
2. Deployment and customization of the Quickstart solution according to the designed architecture
3. Operationalization of machine learning use cases at scale on the newly developed platform including user training and engineering support