AWS Joins Forces With Amgen on Generative AI Solutions to Accelerate Advanced Therapies

Rhea-AI Summary

Amgen (AMZN) is expanding its work with AWS to utilize generative artificial intelligence to increase manufacturing throughput and efficiency at its new advanced assembly and final product packaging facility for medicines in the greater Columbus, Ohio area. The company will use AWS's infrastructure and advanced services to power its new digital data and analytics platform, implementing a connected digital platform on AWS using Amazon SageMaker to collect and analyze manufacturing data points daily, reduce operator intervention, improve ergonomic safety, and predict and prevent equipment failure.

Leading biotechnology company is using AWS artificial intelligence to increase manufacturing throughput to deliver medicines faster for patients globally

SEATTLE--(BUSINESS WIRE)-- At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today 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 reliable global infrastructure and advanced services to power its new digital data and analytics platform to increase operational efficiency and sustainability at its new state-of-the-art advanced 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.

“Based on our longstanding AI work, generative AI is helping us improve clinical trial planning, execution, and documentation. Beyond optimizing clinical trials and regulatory filings, we’re excited about making generative AI assistance available to our scientists, researchers, engineers, and others among our workforce,” said Mike Zahigian, senior vice president and chief information officer at Amgen. “Our work with AWS over the last 10 years has helped us reinforce our data-driven approach, and working closely with AWS experts in machine learning and analytics allows us to move forward at an accelerated pace.”

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.

“Our life sciences customers are looking to the potential of generative AI to help accelerate innovation and increase efficiencies across the care continuum,” said Dr. Matt Wood, vice president of technology at AWS. “Combining AWS’s expansive capabilities and our 25 years of machine learning expertise with Amgen’s life sciences leadership and innovative culture, we are proud to work together to transform new ideas and discoveries into medicines that will improve treatment for patients with serious illnesses.”

About Amazon Web Services

Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 102 Availability Zones within 32 geographic regions, with announced plans for 15 more Availability Zones and five more AWS Regions in Canada, Germany, Malaysia, New Zealand, and Thailand. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com.

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon. For more information, visit amazon.com/about and follow @AmazonNews.

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FAQ

What is Amgen's (AMZN) collaboration with AWS about?

Amgen is working with AWS to utilize generative artificial intelligence to increase manufacturing throughput and efficiency at its new advanced assembly and final product packaging facility for medicines in the greater Columbus, Ohio area.

How is Amgen (AMZN) using AWS's infrastructure and advanced services?

Amgen will use AWS's infrastructure and advanced services to power its new digital data and analytics platform, implementing a connected digital platform on AWS using Amazon SageMaker to collect and analyze manufacturing data points daily, reduce operator intervention, improve ergonomic safety, and predict and prevent equipment failure.

What are the benefits of Amgen's (AMZN) collaboration with AWS?

The collaboration aims to increase operational efficiency and sustainability at Amgen's new state-of-the-art advanced assembly and final product packaging facility for medicines, utilizing generative artificial intelligence and advanced digital and robotic technology.