Customer Stories / Life Sciences

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AstraZeneca Transforms Pharmaceutical Research and Development with Industrialized Machine Learning on AWS

In this presentation, hear about AstraZeneca’s journey to build a flexible, compliant platform to accelerate their drug research process, and how it collaborated with the Amazon Machine Learning (ML) Solutions Lab to make it happen.

AstraZeneca discovers, develops, and commercializes prescription medicines in oncology and biopharmaceuticals, including in cardiovascular, respiratory, and immunology fields. It serves millions of patients across 145 countries and 70 markets. Data and artificial intelligence (AI) is central to AstraZeneca’s innovation strategy. Using Amazon Web Services (AWS), AstraZeneca built an industrialized machine learning (ML) platform to streamline pharmaceutical drug discovery, clinical trials, and patient safety for hundreds of scientists.

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AWS contributed massively in shaping of our operating model, our costing model, in terms of designing our AWS-based AI Bench 1.0. They also provided ongoing knowledge transfer and trainig for our end users using the platform on a regular basis, which makes sure that our team can hit the ground running from day one, and our users using the platform can support and know how to use AWS services on AI bench."

Rui Wang
Head of R&D Compute and Core Engineering, AstraZeneca

AWS Services Used

AWS Machine Learning

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