At AWS re:Invent, Amazon Web Services, Inc. announced it is working with Accenture to help Merck to move a substantial portion of its IT infrastructure to AWS as part of the company?s multiyear cloud migration. As part of this initiative, Merck selected AWS as its preferred cloud services provider and Accenture as its professional services partner to transition core applications like SAP, machine learning (ML), and data warehouses to AWS?enabling Merck to help accelerate scientific research and discovery. Merck has been working with AWS and Accenture since 2021 to help transform its value chain and accelerate its cloud migrations efforts.
Merck is using the breadth and depth of AWS analytics and artificial intelligence (AI) services for key initiatives across its Research, Manufacturing, Human Health, and Animal Health divisions, as well as its internal global support functions. For example, Merck is using a manufacturing platform built on AWS to help identify complex defects, such as cracks or the presence of foreign particles, where there is limited training data and to reduce false positives for rejected medicines. Merck used Amazon SageMaker, a fully managed service to build, train, and deploy ML models, to develop an inference pipeline for a manufacturing platform known as HawkAVI that derives insights from terabytes of inspection data from machines across manufacturing sites.
This use of generative AI and ML has enabled Merck to improve product availability and yield, accelerate rapid root cause analysis, and reduce false rejection rates, which leads to more availability of its products. Working in collaboration with Accenture, Merck also selected AWS to strengthen its high-performance computing (HPC) capabilities to accelerate therapeutic discovery. Through HPC on AWS and AWS HealthOmics, a purpose-built service for biological insights and automation, Merck can scale its protein model prediction and omics analytical work and run HealthOmics managed workflows such as AlphaFold to speed drug discovery.
Merck also migrated all SAP workloads to AWS?including SAP Business Warehouse, SAP HANA Sidecar, and SAP Master Data Governance?to increase resilience and adapt resourcing requirements to meet business demands.