Establish the data liquidity needed to enhance manufacturing efficiencies, maintain compliance, and improve supply chain resiliency with AWS for Life Sciences.
Moderna Wins IPSE Facility of Future Award
Learn how Moderna incorporate AWS IoT and AWS AI/ML to built its GMP–compliant manufacturing facility.
Next-generation manufacturing and supply chains
Embrace Industry 4.0 by creating a connected, streamlined, and economical manufacturing and supply chain process designed to improve end-to-end data liquidity. AWS for Life Sciences provides purpose-built solutions that help unifying data silos and integrate ML and HPC to derive more meaningful insights and facilitate data-driven forecasting.
Manufacturing and supply chain use cases
Manufacturing optimization
Solutions that enable life sciences companies to modernize their manufacturing processes by breaking down data silos, leveraging ML and HPC to derive meaningful insights, and utilizing more cost-effective infrastructure. Go to Solutions Library.
AWS solutions
Solution: Machine to Cloud Connectivity Framework
The AWS Machine to Cloud Connectivity Framework seamlessly connects equipment on the factory floor to an AWS account. This solution handles the underlying connectivity infrastructure, so factory floor managers can focus on conducting analysis of factory data.
Featured customers
Through a collaboration with AWS, Novartis develops Insight Centers which provide real-time, interactive operational information about its manufacturing process.
Using SAP S/4HANA in a GxP-validated environment in AWS, Moderna built a manufacturing facility that delivers the speed, scalability, and lower costs that are central tenets of its business model.
Novo Nordisk leverages AWS to harmonize its data pipeline and scale IoT analytics to streamline manufacturing.
Featured partner solutions
"Seeq is an advanced analytics solution for process manufacturers that enables organizations to rapidly investigate and share insights from data on AWS, historians, and IIoT platforms as well as contextual data in manufacturing and business systems."
"Tulip is helping some of the largest pharmaceutical and medical device companies in the world to digitize processes that used to be analog. AWS is a critical partner that enables Tulip to bring the power, agility, and scalability of the cloud to Life Sciences research and manufacturing."
Featured consulting partners
Tulip's flexible and intuitive manufacturing app platform helps manufacturers create applications that guide operators and collect data from the people, machines, and processes involved in production.
Supply chain resiliency
Solutions that allow life sciences organizations to perform operational forecasting and improve agility by breaking down silos throughout the supply chain and provide a holistic view of data.
AWS solutions
Solution: Improving Forecast Accuracy with Machine Learning
This solution automatically produces forecasts and generates visualization dashboards for Amazon QuickSight and Amazon SageMaker Jupyter Notebooks—providing a quick, easy, drag-and-drop interface that displays time series input and forecasted output.
Guidance: SAP on AWS
AWS fully supports SAP for production deployment in the cloud. Easily integrate accurate forecasting into your business processes and improve capacity utilization and supply chain resiliency. More than 5,000 customers trust the experience, technology, and partner community of AWS to migrate, modernize, and transform their SAP landscapes.
Featured customers
AWS AI/ML services enable Novartis to create sophisticated machine learning models to advance its operational forecasting for manufacturing and supply chain.
With Amazon Forecast, Thermo Fisher improved its inventory management capabilities by 20% when compared to its legacy solution.
Using AWS, Amgen implemented SAP to comply with Good Manufacturing Practices and handle multiple areas of the business, including training, manufacturing, and supply chain.
Featured partner solutions
"SAS and AWS help you automate and accelerate demand insights across your supply chain, ensuring the right quantities of drugs and devices are manufactured through data driven planning and forecasting technology."
Featured consulting partners
Foresight by Indegene allows biopharma users to create, share, and validate forecasting models. This platform includes patient-based, patient flow, and projection-based forecasting, as well as portfolio and bump-up creation.
Featured resource
Whitepaper: Modernizing Life Science Manufacturing
How analytics, IoT, and the cloud are rewriting drug production.
