Category: Amazon Machine Learning

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.

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.

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.

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.

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.

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.

Organizations adopting modern software development activities continue to embrace the advantages of AI and large language models (LLMs), maximizing the productivity of developers. Amazon Q Developer provides you with an AI coding companion that delivers direct access for developers to the AI companion within the integrated development environment (IDE). In this post, we walk you through an example you can use leveraging the power of Amazon Bedrock to provide a coding assistant in your IDE.