In this post, we explore how AWS tailored solutions for healthcare and life sciences can optimize data storage and analysis. By utilizing AWS machine learning and analytics services, users can streamline the handling of genomic data, electronic health records, and medical imaging for precision health applications. The reference architecture discussed here is built on AWS HealthOmics, AWS HealthImaging, and AWS HealthLake services, which allow for seamless data integration and analysis. For a deeper dive, check out this other blog post here.
AWS HealthOmics
AWS HealthOmics, a HIPAA-compliant service, offers fully-managed computing resources to help clients securely process various types of omic data, including genomic and proteomic information, in AWS. It supports multiple workflow definition languages, such as WDL, Nextflow, and CWL, ensuring secure access to data stored in Amazon S3 and AWS HealthOmics Storage. In this blog, we delve into the specifics of how to protect your genomic workflows effectively.
Lunar Energy
Lunar Energy is on a mission to provide homes worldwide with sustainable energy. Acknowledging the urgent need to combat climate change, Lunar aims to establish the digital infrastructure essential for a resilient and distributed energy system. As homes adopt distributed energy resources (DERs), such as solar panels, the potential for a customer-led energy future becomes increasingly tangible.
In another post, we discuss how cloud technology is being utilized to enhance the protection of power grids against physical threats. As power reliability becomes more crucial, the infrastructure that supports it must also evolve to withstand potential risks. For more insights, you can read about this here.
Operational Technology Data
Operational technology (OT) data, generated from sensors and devices in industrial environments, is critical for monitoring and controlling physical processes. From SCADA systems to data historians, the importance of OT data has grown immensely. By leveraging AWS tools, organizations can maximize the value derived from this data, helping to optimize their operations and improve decision-making.
Conclusion
In conclusion, businesses must adapt to the ever-changing landscapes of data and technology. Whether it’s through enhancing customer engagement after cart abandonment or deploying advanced analytics in supply chain management, AWS provides the tools necessary to thrive in today’s competitive environment. For an insightful read, consider checking out this excellent resource about starting a career at Amazon.
Leave a Reply