Life Sciences

Modernizing life science manufacturing

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• Establishing a cloud data lake and analytics environment • Implementing Predictive Analysis • Real-time Inference with AWS Greengrass & AWS Lambda To streamline and accelerate the development of your modernized manufacturing platform, AWS provides the following reference architecture, and details the use of example AWS services through various phases. The reference architecture describes specific phases for: Modernizing Life Science Manufacturing Using AWS Services Manufacturing is one of the most challenging environments for Life Science organizations to operate in as they must quickly, efficiently, and consistently execute complex and expensive processes while complying with evolving regulations. In light of these pressures and opportunities, forward-thinking companies are using technology, data analytics, and Amazon Web Services (AWS) to modernize their manufacturing operations. AWS has established itself as the backbone of such initiatives on the strength of its flexible, scalable capacity, regulatory compliance, IoT, and analytics services. Manufacturers can adopt AWS secure in the knowledge that it can be used in a manner compliant with the good practices (GxPs) that define their operations. For more information on Modernizing Life Science Manufacturing and other ways AWS can help your organization, visit us at:

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