Case Study: a global healthcare leader accelerates AI/ML adoption with Provectus MLOps Platform

Provectus delivers a new MLOps Platform, designed and built on AWS, to accelerate, streamline, and scale adoption of AI/ML use cases

The customer, a major global healthcare company, was struggling to scale its AI/ML adoption across its pharmaceutical, medical device, and consumer health divisions. Lacking a standardized MLOps platform, their data scientists faced inefficiencies and a slow time-to-market for new AI applications. They partnered with the vendor, Provectus, to implement a modern MLOps platform to accelerate and streamline their AI workflows.

Provectus built a cloud-native MLOps platform on AWS, using Amazon SageMaker Projects as a foundation. The solution included a standardized infrastructure template and a reusable AI/ML project seed code, which significantly reduced manual setup work and infrastructure approval times. This enabled the customer to onboard data scientists quickly, drastically cut development costs, and dramatically accelerate the production deployment of AI/ML applications across the entire enterprise.

NDA Project