Category: Amazon Cognito

This post explores how an agentic AI architecture on Amazon Web Services (AWS) modernizes the procurement lifecycle from solicitation to proposal evaluation while maintaining compliance with government regulations including United States of America FAR (Federal Acquisition Regulation),United States of America DFARS (Defense Federal Acquisition Regulation), and Canadian procurement frameworks (Public Service Procurement Canada (PSPC) /Shared Services Canada (SSC).

This post presents two complementary patterns for implementing per-user token guardrails on Amazon Bedrock from Amazon Web Services (AWS).

In this post, we walk you through how FRESH is translating cloud-enabled analytics into practical tools that support resilient, trusted food systems, starting with a deep dive into dynamic shelf-life modeling. Specifically, we detail how AWS services such as Amazon Simple Storage Service (Amazon S3), AWS Glue, and Amazon SageMaker AI are used to build and train predictive models.

This post explains how to build exactly that using Strands Agents and Amazon Bedrock. The entire solution runs in about 200 lines of Python code, and you can have it working on your computer after completing the pre-requisite steps.

In this post, I outline a governance framework that addresses these problems through features of Amazon Bedrock AgentCore. By following the practices outlined here, you can gain confidence to run your agentic AI workloads in highly demanding situations.

Universities across the UK conduct tens of thousands of online interviews and exams each year. During a single admissions intake, over 20,000 video interviews were recorded for international applicants, with 1.3% of sessions showing confirmed fraud, including 0.15% involving deepfakes. A survey by the International Center for Academic Integrity (ICAI) found that 2% of students […]

Public sector organizations and technology vendors across industries—from healthcare and education to public safety and citizen services—struggle with complex identity integration requirements when deploying applications across multiple facilities and jurisdictions. This post demonstrates how organizations can eliminate integration delays using an automated metadata extraction solution built on AWS that provides self-service access to Amazon Cognito user pools metadata through a serverless REST API.

Personalized therapy for diseases such as cancer utilizes an individual’s unique genomic profile to guide treatment decisions. However, the effect and clinical significance of most genetic variants are uncertain. Accurate classification of the clinical significance of novel genetic variants requires extensive curation of peer-reviewed biomedical literature. In recent years, generative AI has demonstrated promising results in information extraction and text summarization. In this post, we explore how various AWS-native solutions can be used to create a secure, retrieval-augmented, and cost-effective biomedical chatbot designed to facilitate biocuration.

Fair Trade USA™ is a nonprofit organization that is committed to eliminating poverty by promoting sustainable development through ethical trade. They work to ensure fair compensation, safe working conditions for farmers and workers, and sustainable farming practices. In this post, you’ll learn how Fair Trade USA leverages Amazon Web Services (AWS) to improve working conditions for farmers and producers around the world.

Sharing data is essential for organizations to make informed decisions and foster innovation. Amazon Web Services (AWS) offers a variety of tools and services to help distribute data securely and at scale. Whether it’s sharing public data for the common good, monetizing private datasets for business purposes, or collaborating with colleagues, AWS provides the necessary infrastructure and support. Read this post to learn more.