Customer Stories / Life Sciences / Americas

2020

Bristol Myers Squibb Builds Enterprise Data Lakes on AWS

Before moving to the Amazon Web Services (AWS) Cloud, Bristol Myers Squibb was building data lakes using various tools and methods, which created inconsistencies, technical debt, and a higher cost to run. In addition, Bristol Myers Squibb is leveraging AWS Glue to build out a scalable infrastructure with a pay-as-you-go model.

Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing, and delivering innovative medicines that help patients prevail over serious diseases. Before moving to the Amazon Web Services (AWS) Cloud, Bristol Myers Squibb was building data lakes using various tools and methods, which created inconsistencies, technical debt, and a higher cost to run. Brian Zellner, associate director of R&D data lakes at Bristol Myers Squibb, says, “When we moved to AWS, we started with a multi-tenant concept that allows us to use services in a consistent way.”

In addition, Bristol Myers Squibb is leveraging AWS Glue to build out a scalable infrastructure with a pay-as-you-go model, which "gave us great advantage over what we were doing before, so we’re able to ingest data faster and transform it and get faster insights,” says Zellner.

“Speed is a core tenant of what we’re trying to do at Bristol Myers Squibb. The faster that we can develop drugs, the sooner they can get to the patients who need them,” explains Zellner.

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Speed is a core tenant of what we’re trying to do at Bristol Myers Squibb. The faster that we can develop drugs, the sooner they can get to the patients who need them."

Brian Zellner
Associate Director of R&D Data Lakes, Bristol Myers Squibb

AWS Service Used

Amazon Glue

Discover, prepare, and integrate all your data at any scale.

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United Arab Emirates

Technology Innovation Institute trains the state-of-the-art Falcon LLM 40B foundation model on Amazon SageMaker

United Arab Emirate’s (UAE) Technology Innovation Institute (TII), the applied research pillar of Abu Dhabi’s Advanced Technology Research Council, has launched Falcon LLM, a foundational large language model (LLM) with 40 billion parameters. TII is a leading global research center dedicated to pushing the frontiers of knowledge.

2023
Other

Key takeaways from Gilead’s Innovation Talk at re:Invent 2023

At re:Invent 2023, Marc Berson, Chief Information Officer of Gilead Sciences, joined an Innovation Talk on ‘Generative AI for Industries’, along with Shaown Nandi, AWS Director of Technology for Industries. The talk highlighted Gilead’s approach towards using generative AI for accelerating therapeutic breakthroughs, and emphasized their commitment to establishing a resilient cloud infrastructure and solid data foundations, to enable the technology at an enterprise level.

2024
Other

Executive Conversations: The promise of generative AI for the commercial pharma value chain

Merck & Co., Inc., Rahway, NJ, USA, one of the largest pharmaceutical companies in the world, has been using generative artificial intelligence (generative AI) to push the borders of data science and analytics in life sciences. Harish Nankani, Associate Vice President, Data and Analytics, Merck, and Suman Giri, Executive Director, Data Science, Merck, recently spoke to Ujjwal Ratan, Data Science and ML Leader for Healthcare and Life Sciences at AWS, on the promise and potential of this groundbreaking technology for commercial teams in life sciences organizations

2024
Europe

Sanofi Drives Scientific Innovation with AI on AWS for Real-Life Patient Impact

Imagine a future where life-saving drugs are developed not in years but in months, where personalized medicines are crafted with precision, and where global health crises find their match in the swift, intelligent responses of advanced systems. This is not a work of fiction; this is the reality that Sanofi is bringing to life on Amazon Web Services (AWS).

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