FCP ML DevOps Service (Size S)

Are you a large enterprise facing the challenge to bring your forecasting models to production?

With our solution you can easily operationalize your forecasting models to improve and scale your business processes.

Bridge the Gap from Sandbox Model to being enterprise-grade ML Ops-ready

We solve all your individual cases with our tailored ML Ops Platform. It manages all aspects from Model Development, Data and Model Versioning, Feature Management and Storage, Automation, CI/CD and Continuous Monitoring of Model Performance. To meet your specific requirements, we combine Azure Services with our professional services, which are necessary for the individual adjustments.

Solution Benefits

You get a robust and enterprise-ready forecast platform:

• Manual workload and error susceptibility are reduced by using the Everything-as-Code (EaC) approach to automate pipelines and processes.

• Scalable and robust ML pipelines which are fully compliant and secure are obtained through testability and easy reproducibility.

• A constant forecasting model quality is achieved by the integrated and continuous monitoring of all models.

“[…] We sincerely express our gratitude to HMS for supporting our ML Ops project in an outstanding manner throughout the challenging periods. […]”

Project Lead Forward Commodity Desk, Chemicals Manufacturer

Our Technical Approach

Utilizing Microsoft Azure services and reference architectures, HMS covers the complete project lifecycle from ideation and feasibility analysis to the operationalization of a strategic enterprise-grade forecasting platform.

Are you ready to get enterprise-grade ML Ops-ready?

About Us

For more than 30 years, HMS Analytical Software GmbH has supported its customers in solving analytical challenges through a combination of tailored, future-proof cloud architectures and state-of-the-art analytical approaches in the area of AI and machine learning. We mainly support customers in Germany.

This application is also available in German.

Terms, conditions, and pricing are custom to each engagement.