Merck on AWS
As a pioneer in pharmaceutical innovation for more than 130 years, Merck & Co., Inc. (Merck) has consistently delivered life-saving medicines and vaccines to patients worldwide.
Merck's Cloud Journey
By leveraging Amazon Web Services (AWS), Merck has revolutionized its operations, achieving remarkable improvements across its business all while providing significant time and cost savings.
Accelerating Biopharmaceutical Innovation with AWS
2025
Merck, a biopharmaceutical company focused on human medicine research, has implemented Generative AI in their manufacturing division using Amazon S3 and Amazon Redshift. Key benefits to improve data analysis, faster drug development and production process which and giving customers quick access to life-saving medication.
AWS Clinical Trial Optimization Studio helps Merck cut trial costs and reduce manual work by 70% with 90% accuracy
2025
Hear from Matt Studney, SVP Information technology on Merck's strategic shift towards digital transformation and AI integration to accelerate drug developmenmt and improve operational efficiency.
Merck leverages AWS to accelerate life-saving drug delivery through advanced data analytics and generative AI solutions
2025
Merck modernized its clinical ecosystem by partnering with AWS to build a comprehensive data platform that handles both analytics and transactional needs across 300+ concurrent clinical trials. The company faced challenges with siloed systems and complex integrations across multiple therapeutic areas, making it difficult to maintain data integrity and automate processes. Working with AWS, Merck developed custom data processing services including medical coding powered by large language models, database lock workflows, masking and blinding services, and STDM generation, which automates mapping and establishes it as the standard for clinical data consumption.
How Merck improves drug design with biological foundation models
2024
Merck improved its drug research efficiency by implementing AWS HealthOmics, solving their challenge of managing intricate protein design processes. The solution combines multiple artificial intelligence (AI) models in a streamlined pipeline, allowing researchers to generate thousands of protein designs with one click. This transformation simplified what was previously a complex, multi-step documentation process across their product portfolio.
Merck advances healthcare data extraction using text-to-SQL on AWS
2025
Merck constantly seeks new ways to accelerate its R&D. Its data and analytics team faced significant challenges in extracting insights from massive healthcare databases and found that writing complex SQL queries was time-consuming and error-prone. To address this, Merck collaborated with the AWS Generative AI Innovation Center to implement a generative AI text-to-SQL solution using Anthropic's Claude models on Amazon Bedrock. This innovation enabled analysts to generate SQL queries from natural language with over 95% accuracy. Data workflows are now significantly streamlined, allowing Merck's scientists to make faster, more confident decisions and easily incorporate additional databases.
Merck’s Manufacturing Data & Analytics Platform reduced costs by 50% on AWS
2024
Find out how Merck overcome the challenge when their legacy data platform couldnt keep pace with the increasing demands for data and analytics across manufacturing operations. Working with AWS, Merck built a comprehensive data ecosystem to integrate and curate data from hundreds of manufacturing source systems which helped accelerate their manufacturing efficiency achieving 3x performance boost and 50% cost reduction. This helped Merck deliver medicines more effectively to patients they serve.
Delivering Innovative Health with Generative AI Solutions at Merck
2024
Learn how Merck uses Amazon Web Services (AWS) to solve a common problem in the pharmaceutical industry—the occurrence of false rejects. Merck’s goal is to get life-saving drugs into customers’ hands faster and in a safe manner. It ingests real-time data from various manufacturing processes and inspection machines, and then contextualizes and harmonizes the data. This has improved product availability, increased product yield, enabled rapid response to investigations, and enabled rapid Root Cause Analysis and corrective actions all while providing significant time and cost savings.
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