AWS Public Sector Blog
Category: Amazon DataZone
Empowering the public sector with secure, governed generative AI experimentation
The Generative AI Sandbox on AWS, powered by Amazon Bedrock Studio, provides a secure, governed, and isolated environment for organizations to explore the power of large language models (LLMs) and other generative artificial intelligence capabilities. Bedrock Studio users can test different LLMs side by side to understand which ones best suit their specific use cases: from drafting policy documents to analyzing public feedback, or creating educational content.
Getting drugs to market faster through better health data management on AWS
In this post, we explore how healthcare and life sciences organizations can embrace the data mesh and data as a product (DaaP) principles to unlock the full potential of their health data, drive faster and more efficient drug development, and ultimately, bring life-saving treatments to patients more quickly. We also showcase the Amazon Web Services (AWS) services that support the journey towards effective data management and alignment with data mesh principles.
Unlocking data governance for multiple accounts with Amazon DataZone
This post discusses 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. Additionally, this post provides a sample architecture as well as a walkthrough on how to set up that architecture. Ultimately, this post serves as a valuable resource if you’re seeking to optimize your data management processes and derive actionable insights to drive business growth.
Modern data strategy for government tax and labor systems
Introduction Government authorities such as tax, unemployment insurance, and other finance agencies across the US and globally are seeking ways to innovate. They are trying to unlock insights from their data, deliver better customer experiences, and improve operations using cutting-edge technologies such as generative artificial intelligence (AI), machine learning (ML), and other data analytics tools. […]