Scale ML models serving with MLOps in 5 to 12 weeks

About SoftServe​

SoftServe is a digital authority, operating at the cutting edge of technology. We reveal, transform, accelerate, and optimize the way enterprises and software companies do business. With expertise across healthcare, retail, media, financial services, software, we implement end-to-end solutions, delivering the innovation, quality, and speed that our clients’ users expect.

Why You Need ML Liftoff Service

Many companies face challenges when commencing their AI/ML journey. Challenges such as how can AI/ML add value to organizations and quantifying the value of these solutions. In addition, companies are often limited by a lack of expertise and experience to truly maximize the ability of the ever-evolving technology landscape. It’s imperative that to deliver true value, a solid foundation is required to reduce the risk of technical debt and ensure your Data Science and Business Units Leads are able to continue to scale and adapt to future requirements.

What Does The Solution Represent

Based on our extensive experience, SoftServe has created a series of templates & reference architectures that complement the available services from Azure Cloud (e.g. Azure ML) that can be quickly adapted and tuned to specific client needs. Together with you, SoftServe will accelerate your journey to generating value from AI/ML, whilst reducing the risk and Total Cost of Ownership of migrating to Azure Cloud based AI/ML Solutions.

What Stages Does The Solution Encompass

1. Model Migration To Azure Cloud The model object is integrated as an endpoint and migrated to Azure from another cloud or on-premise environment for inference by the solutions using Azure ML pipelines and accelerators.
2. Minimum Viable MLOps Platform (CI/CD/CT) The AI/ML solution is redesigned to match the MLOps Maturity level 4 (according to Microsoft Azure approaches) using Terraform templates and Azure ML accelerators.
3. Governance & Automated Lifecycle ML architecture is optimized and extended to support customized governance framework: deployment, monitoring, approvals, maintenance, and feedbacks processes.

Solution benefits

• Leveraging Azure Cloud’s unique ML products, we ensure fast and reliable delivery and adoption of AI/ML models for products.
• Customizing strategy for migration and optimization and providing CI/CD infrastructure for seamless deployment of AI/ ML models.
• You can be confident that your models will deliver optimal performance in the cloud environment.
• Cost reduction via moving from on-premise to cloud-based environments.

The cost and timeline for implementing a solution can fluctuate depending on the project's scope and complexity in alignment with the customer's preferences.