HARMAN MLOps Professional Service is a framework and methodology designed to automate machine learning (ML) pipelines specifically for Azure Cloud. Utilizing Azure-based workflows, collaboration platforms, and tools, this offering streamlines the management of model selection, versioning, auditability, explainability, re-usability, validation, deployment, and monitoring. Built on MLOps principles and leveraging Azure MLOps-specific services and open-source components, HARMAN MLOps enables organizations to enhance the quality and reliability of ML solutions in Azure Cloud environments.
HARMAN offers a 10-day MLOps assessment led by our AI/ML specialists and solution architects. The deliverables of this exercise will include an assessment report outlining:
- Gap analysis with respect to MLOps best practices
- Customized recommendations on frameworks and tooling for MLOps pipeline in Azure Cloud
The roadmap for the engagement (onsite assessment) consists of:
- Stakeholder interviews - 2 days
- Identify Azure-specific Frameworks and tooling - 3 days
- Validation of gap analysis, understanding, and assumptions in the Azure context - 3 days
- Consolidation and report preparation - 2 days
Take advantage of HARMAN's expertise in MLOps on Azure and accelerate your organization's journey towards efficient, reliable, and scalable ML solutions in Azure Cloud production environments.