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How to Manage Distributed Data Securely, Effectively

GovLoop

To maintain its competitive advantage, the Defense Department must utilize data at the tactical edge. Processing data locally “speeds up the time for decision making, for example when you can run analytics or even AI solutions against the data,” said Dave Hoon, Chief Technology Officer with Norseman Defense Technologies.

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Improving public health through data exchange

AWS Public Sector

As public health resources shift away from the pandemic response, jurisdictions now seek ways to modernize their public health infrastructure to avoid previous challenges such as data fragmentation, incompleteness of health data, and lack of interoperability.

Data 132
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European Health Data Space will enable health innovation through secure data sharing

AWS Public Sector

In May 2022, the European Commission (EC) proposed to set up a European Health Data Space (EHDS). The EHDS will establish a common framework and infrastructure for the use of health data for research, innovation, policy-making, and regulatory activities in the European Union (EU). At AWS, security will always be our top priority.

Data 85
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Unlocking data governance for multiple accounts with Amazon DataZone

AWS Public Sector

In this post, we discuss how Amazon Web Services (AWS) can help you successfully set up an Amazon DataZone domain, aggregate data from multiple sources into a single centralized environment, and perform analytics on that data. Amazon DataZone enables you to distribute the ownership of data, creating a data mesh.

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Reframing data management for federal agencies

FedScoop

In the ever-expanding realm of data management, federal agencies face a pressing need to rethink their approach to effectively processing, analyzing and leveraging vast amounts of data. That’s why chief information and data officials within federal agencies must recognize the necessity of adopting a different data processing model.

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St. Louis University uses AWS to make big data accessible for researchers

AWS Public Sector

Louis University ‘s (SLU) Sinquefield Center for Applied Economic Research (SCAER) required vast quantities of anonymized cell phone data in order to study the impacts of large-scale social problems like homelessness and access to healthcare. Finding a reliable data supplier was relatively simple. Cleaning the data.

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A Look at AI-Enhanced Cybersecurity

GovLoop

Not sure if AI could work for your agency?