As covered in my previous post on the AWS Storage Blog, Bristol Myers Squibb relies on many AWS storage ser...
Other content in this Stream
Presented by Vijay K. Bulusu, Head of Data & Digital Innovation, Pfizer
Bristol-Myers Squibb build enterprise data lakes on AWS using serverless technology to improve its scalability and reduce costs.
As covered in my previous post on the AWS Storage Blog, Bristol Myers Squibb relies on many AWS storage services to manage its petabyte scale data in various life science workflows. Genomics and...
Bristol-Myers Squibb CIO Paul von Autenried and his team are unlocking digital capabilities, increasing computing capacity, leveraging artificial intelligence and supporting digital health initiatives
The goal of AstraZeneca’s pilot project is to use its AWS-built model across 2,000 tissue samples to identify key kidney features reliably and reproducibly.
Instead of worrying about wasting time and chasing false leads, Celgene scientists are coming up with innovations that wouldn’t have been possible before—and in record time.
Learn how Bristol-Myers Squibb used AWS services to create a platform-based approach for ingesting, preparing, curating, and persisting business-critical data for digital integration and analytics.
Bristol-Myers Squibb (BMS) discovers and develops innovative medicines to help treat, manage, and cure serious diseases. We use many AWS services to help us manage our scientific data, lab...
Research labs can be challenged by the large volume of data acquired by legacy research equipment. Learn how AWS provides a way for researchers to transfer and use instrument data in the cloud.
Life science industries are transitioning from wet lab environments to digital labs. Digital labs decrease the “time to science” and de-risk R&D portfolios. Customers see computational methods as...
Learn how Bristol-Myers Squibb was able to perform intensive clinical trial simulations on AWS with a 98% time savings, which helps them to shorten study time and reduce patient impact.
Learn how Celgene R&D moved two of its critical HPC workloads to AWS, which resulted in improved collaboration, increased business process agility, improved scalability, and lower total cost of owners
Learn how New York University collaborates with researchers around the globe and utilize HPC in AWS Cloud to accelerate its medical informatics research.