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AWS Joins Forces With Amgen on Generative AI Solutions

Biotechnology company Amgen is using AWS artificial intelligence to increase manufacturing throughput to deliver medicine more quickly to patients globally and to accelerate advanced therapies
E3 Magazine
December 4, 2023
This text has been automatically translated from German to English.

Amazon Web Services (AWS) announced that Amgen is expanding its work with AWS to create generative artificial intelligence (generative AI)-based solutions to help discover, develop, and increase the manufacturing throughput of medicines for patients suffering from serious illnesses. Amgen will also use AWS’s global infrastructure and services to power its new digital data and analytics platform to increase operational efficiency and sustainability at its new assembly and final product packaging facility for medicines, which will open next year in the greater Columbus, Ohio, area.

The new facility will feature the latest digital and robotic technology, including the implementation of a connected digital platform on AWS using Amazon SageMaker, a fully managed service to build, train, and deploy machine learning (ML) models, to collect and analyze manufacturing data points daily. The platform will help reduce operator intervention and improve ergonomic safety of manual activity by using AI, sensors, and machine vision systems in the packaging lines. Additionally, the collection and reporting of real-time performance metrics will be integrated with ML models to predict and prevent equipment failure before it happens. This predictive maintenance capability may help reduce downtime versus comparable sites across the network, which unlocks additional manufacturing capacity.

Together, the companies are experimenting with generative AI and ML technology as they develop solutions across research and development—for example, for clinical trial innovation. The companies are also exploring solutions for operations and commercial lines of business using Amazon Bedrock, a service that makes multiple foundation models available via an API, and Amazon SageMaker JumpStart, an ML hub with foundation models, built-in algorithms, and pre-built ML solutions.

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