Cloud Enabler for MLOps

Cloud Enabler for MLOps offers an end-to-end framework to mature your Machine Learning Operations (MLOps).

Devoteam helps you streamline MLOps automation in Microsoft Azure to empower data scientists and business champions to focus on high-impact, value driven-tasks. This will help you move from manual approaches towards a fully automated and optimised lifecycle for your machine learning models and AI projects.

Cloud Enabler for MLOps aligns with industry best practices and the latest Microsoft reference architectures.

Our accelerator helps you industrialise MLOps by:

• Establishing an enterprise-grade MLOps platform
• Get your first models into production
• Streamlining the deployment of ML infrastructures using Infrastructure-as-Code (IaC)
• Automating testing of infrastructure and functionality
• Automated observability and retraining of deployed models

Our approach:

• Evaluate your organisation’s current MLOps maturity and baseline against a maturity model.
• Gather requirements for future platform
• Automatically Install platform for MLOps based on standard Azure components
• Setup build and deploy pipelines (dev, test, prod)
• Refactor one or more existing MLJobs to be MLOps ready
• Deploy, observe, and operate models

Your benefits:

• Accelerate MLOps platform implementation using our proven delivery methodology
• Save time with our accelerator implementation and documentation
• Eliminate manual effort through automation and templates
• Reach MLOps maturity faster

Typical project:

• Assessment, MLOps strategy, and roadmap
• PoC Implementation
• Establish MLOps platform + first model
• Setup automation pipelines
• Fully documented