AWS Public Sector Blog
Category: Amazon Machine Learning
Greenwood Genetic Center transforms genomic medicine on AWS
The Greenwood Genetic Center (GGC) is a nonprofit institute organized to provide clinical genetic services, diagnostic laboratory testing, educational programs and resources, and research in the field of medical genetics. To make its medical records accessible to providers, the GGC created a data warehouse to serve as a single repository for its data, where clinicians have access to an all-encompassing view of patients’ records. Read this post to learn more.
University of British Columbia Cloud Innovation Centre: Prototyping generative AI solutions using AWS
The University of British Columbia (UBC) Cloud Innovation Centre (CIC) has become a hub for innovation by prototyping generative AI applications in collaboration with public sector sponsors. This post highlights how the UBC CIC uses AWS to accelerate generative AI development, sharing lessons learned, tools used, and actionable insights you can apply to your projects.
How public safety agencies can meet AI data security requirements
In this post, we discuss the crucial factors public safety agencies should consider when choosing a generative AI provider and explain how AWS can enable a secure, protected system.
HSR.health and AWS to pilot test Amazon Nova for healthcare AI
HSR.health, a pioneer in geospatial health risk prediction, has partnered with AWS to launch a pilot project testing the performance, process, and pricing of fine-tuning the newly announced Amazon Nova foundation model for advanced health risk prediction. Read this post to learn more.
Chaos engineering made clear: Generate AWS FIS experiments using natural language through Amazon Bedrock
In this post, we demonstrate how to use the generative AI capabilities of Amazon Bedrock to streamline the creation of AWS Fault Injection Service (FIS) experiments.
From beta to breakthrough: Scaling health AI from POC to production for everyday impact
In this post, we discuss Health Kaki, a generative AI health companion using the Amazon Bedrock foundation model (FM), and highlight how the team that developed Health Kaki navigated the challenges of scaling from concept to real-world implementation.
From keywords to conversations: Reimagining document discovery with Amazon Bedrock
Organizations that host vast repositories of reports, strategies, evaluations, and other content often face challenges in helping users efficiently navigate and access this wealth of information. This blog post explores how cutting-edge artificial intelligence (AI) techniques, powered by Amazon Web Services (AWS), can transform how users interact with knowledge bases.
Transforming student wellbeing support with Amazon Bedrock and SXP.ai
SXP.ai, an innovative AI company, is transforming how universities support their students through ethical generative AI powered by AWS through Amazon Bedrock. By combining cognitive behavioral therapy techniques with advanced generative AI capabilities, SXP.ai has created a solution that provides 24/7 personalized support while maintaining the highest standards of trust and integrity. Reade this post to learn more.
Leveraging generative AI to accelerate public health genomics data standardization
In this post, we discuss the AI Genomic Schema Harmonizer, a generative AI–powered application that revolutionizes how laboratories prepare genomic data for submission to public repositories.
Accelerating software development with generative AI for the public sector
Generative AI can automate tasks like code generation, testing, and documentation, but public sector customers must prioritize solutions that meet unique regulatory and operational requirements. Addressing these challenges with a secure and compliant generative AI solution can transform software development, helping organizations deliver projects on time while reducing costs. This post outlines the considerations and solutions to evaluate when selecting an AI coding solution.