ML Model Migration to Azure: 10-Week Implementation

Azure provides various sets of tools and services that enable you to extract more value from your data. Migrating your ML (Machine Learning) models to Azure can help you streamline your data science workflows and easily integrate with other Azure services. This comprehensive implementation program helps you migrate on-prem ML (Machine Learning) models to Azure for improved scalability, reliability, and performance. We will work closely with you to assess your current ML models, plan, and implement the migration process, validate the migrated ML models for accuracy, and optimize it for improved performance on Azure.

Target Customers

• Data scientists
• Machine learning engineers
• IT professionals
• Business leaders

Agenda

• Initial Consultation: Understanding your current ML models and requirements for migration.
• Assessment: Assessing your current on-prem ML models and Azure compatibility.
• Migration Planning: Planning and preparing for the migration of ML models to Azure.
• Migration Implementation: Implementing the migration process to Azure for ML models identified as a part of the scope.
• Validation: Validating the migrated ML models on Azure to ensure expected functionality.
• Optimization: Optimizing the migrated ML models on Azure for improved performance.

Deliverables

• Successful migration of the ML models (identified during the consultation) to Azure.
• Detailed report on the migration process, including any challenges encountered and their solutions.
• Recommendations for further optimization and implementation of the migrated ML models on Azure.
• Validation report for the migrated ML models to ensure accurate functionality.
• Optimization report to improve performance of the migrated ML models.

Benefits

• Increased scalability and accessibility of ML models through the Azure cloud platform.
• Improved reliability and performance of ML models through Azure's high-availability infrastructure.
• Have access to Azure's advanced AI (Artificial Intelligence) and machine learning capabilities.
• Have expert guidance and support throughout the migration process.
• Have confidence in the accuracy and functionality of the migrated ML models through validation and optimization.