Life Sciences

Modernizing life science manufacturing

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Predictive Analysis This approach builds on the capabilities of the prior phase, and introduces new steps focusing on prediction and detection, as well as insights and predictive alerts. For more information on Modernizing Life Science Manufacturing and other ways AWS can help your organization, visit us at: https://aws.amazon.com/health/biotech-pharma/ Modernizing Life Science Manufacturing Using AWS Services 1: Store Via process control and analysis software running on Amazon EC2, production data can be saved to Amazon S3 for raw storage preparation for follow-on analysis or archived to Amazon Glacier. 2: Process and Analyze Connect historical plant device data hosted on Amazon S3 to AWS Glue for ETL operations that apply a CDM in preparation for follow-on whole floor device analytics. This data can be ingested into a database on AWS or stored as files on Amazon S3 to be used by supported analytics environments like Amazon EMR, Amazon Redshift Spectrum, or Amazon Athena. 3: Visualize Visualization tools like Amazon QuickSight and Jupyter Notebooks can connect to Analytics environments and be supported by ERP dashboards that provide Pharma Manufacturing stakeholders the information they need to optimize their full-scale plant floor pipeline. 4: Predict Predictions using AI/ML models via Amazon SageMaker on device data that is historical or streaming. MES/SCADA Drug Manufacturing Plant AWS Raw Materials Blending Realtime & Analytics Dashboard Granulation & Drying Secondary Blending Tablet Press Coating & Packaging Virtual Private Cloud Analyst AWS Direct Connect Production Data Processing ETL Processing Deep Learning Data Visualization AWS Glue Jupyter Notebooks Amazon QuickSight AWS EMR Analytical Querying via Hadoop/Spark Production Data Processing Production Data Processing Data Lake Tier-2 Storage: Transformed Data Using Common Data Model Amazon S3 Data Lake Compliant to GAMP Archival standards 1. Store 3. Visualize 2. Process & Analyze Visualization Dashboard Corporate Office VPC VPC Subnet Amazon SageMaker 4. Predict

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