Category: Generative AI

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.

Mark your calendars for June 10-11, 2025, when the AWS Summit Washington, DC will return to the Walter E. Washington Convention Center. This flagship event is the largest AWS Summit in North America and the only one tailored exclusively for the public sector community. In this post, we explain what to expect at this year’s AWS Summit Washington, DC and highlight the key reasons why you should attend the event.

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, 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.

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.

Forward-thinking higher education leaders are using AI and automation from AWS to transform their operations while reducing costs. These institutions aren’t just adopting new technology—they’re reimagining core processes to create ongoing improvements that enhance both operational efficiency and the student experience. Read this post to learn more.

AWS is heading to Berlin for GITEX Europe 2025 on May 21-23. GITEX Europe is Europe’s premier technology event, attracting more than 60,000 professionals and 2,500 exhibitors from over 100 countries. Read this blog to learn more.

Nonprofit organizations face unique security challenges due to their resource constraints and prioritization of mission-focused initiatives. In this blog post, we discuss Amazon Web Services (AWS) security best practices to accelerate mission impact and demonstrate how upfront security investments can both improve security and save time on redundant processes in the long run.

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.

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.