Client success story
Machine Learning Operations Support
Business Value Delivered: Complex Product Supported By Secure And Trusted MLOps Platform
Summary: Machine Learning Supported By Platform And Processes
A clinical trial services company was building machine learning capabilities to drive trial design and strategy, but needed a robust, scalable and reusable machine learning platform to use for developing methods and running them for their customers. bPrescient implemented a machine learning and development platform to support the client in their growth and customer acquisition.
Challenge: Machine Learning Difficult To Develop Without Strong Processes
The client was developing cutting-edge machine learning-based tools for trial design and documentation but was facing challenges in developing those tools in an organized and structured way that supported reuse, reproducibility, and deployment. The movement of their capabilities into production was at risk without a robust platform to develop and build upon.
Solution: Cloud Architecture With Pipelines Supporting Machine Learning
bPrescient’s team developed a scalable cloud-based architecture that supported automated pipelines for provisioning instances for both model training and inference. The team built end-to-end machine learning pipelines that included capabilities for model versioning, training, evaluation and deployment. The platform provided security protocols for multi-tenant data handling, encryption and access control to ensure customer data confidentiality.
Outcome: Successful Product Development
The client received a machine learning and development operations platform that supported their training, validation and deployment of their models, and allowed them to move towards product launch and customer on-boarding.
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