Category: Amazon Bedrock

As more and more healthcare companies use their data to remain competitive, protecting patient data is as critical than ever. With increasing adoption of AI/ML models in healthcare, making sure that these technologies comply with privacy regulations such as HIPAA and GDPR has become a top priority. Amazon Bedrock is a fully managed service that provides unified access to a diverse selection of high-performance foundation models from industry-leading AI companies. In this post, we walk you through the importance of healthcare data privacy and how to use Amazon Bedrock Guardrails to safeguard sensitive information in AI-driven healthcare solutions.

One of the primary strategies for growth for partners is through global expansion. Amazon Web Services (AWS) continues to invest in infrastructure around the globe. The Middle East is one region with huge potential for growth. According to IDC, more than 75 percent of workloads are on premises in the United Arab Emirates (UAE) and Saudi Arabia. The AWS and IDC report “Unlocking the Full Potential of AI in the Middle East” points out that 28 percent of organizations surveyed in the UAE and Saudi Arabia are currently investing in AI while another 50 percent plan to invest. Read this post to learn more.

On March 26, the Imagine Nonprofit conference will bring together nonprofit visionaries and leading technologists at Amazon HQ2 outside of Washington, DC. This no-cost, in-person event helps nonprofits rethink what’s possible for their missions with cloud technology. Read this post to learn more about what Imagine Nonprofit has in store.

ZNotes, a social-impact startup on a mission to end educational inequality, primarily reaching young learners aged 14-18, is working to bridge this gap by providing free access to high-quality notes, videos, and quizzes that are co-created with top students to foster a collaborative peer-learning community. With Amazon Web Services (AWS), ZNotes enhances its ability to deliver accessible, high-quality learning experiences, ensuring that students—regardless of their background can receive the support they need to succeed. Read this post to learn more.

In the age of generative artificial intelligence (AI), data isn’t just king—it’s the entire kingdom. Our previous blog post, Anduril unleashes the power of RAG with enterprise search chatbot Alfred on AWS, highlighted how Anduril Industries revolutionized enterprise search with Alfred, their innovative chat-based assistant powered by Retrieval-Augmented Generation (RAG) architecture. In this post, we examine the technical intricacies that make this system possible.

Learn how Benchmark Education Company worked closely with Amazon Web Services (AWS) to build a grading tool powered by generative artificial intelligence (AI) to help teachers dramatically reduce the time they spend grading open-ended assessments—while maintaining accuracy, privacy, and trust.

In this post, you will discover the key challenges public sector agencies face when it comes to real-time data access, and how Amazon Bedrock Agents and Powertools for AWS Lambda work together to address these challenges. The post also includes real-world use cases demonstrating practical applications in the public sector and technical implementation details and best practices.

Today, generative artificial intelligence (AI) is at the core of many of the decisions and technologies businesses across the globe are implementing. The linchpin to ensuring that generative AI is effective depends on the foundation models (FMs) storing the data. To make sure that those FMs are pulling the correct data, Amazon Web Services (AWS) has developed a solution through Amazon Bedrock to generate SQL to answer user questions about the data. The solution was developed to support the Federal Institute of São Paulo (IFSP) and has optimized their decision-making.

Amazon Bedrock is now generally available in the Amazon Web Services (AWS) Top Secret cloud. With authority to operate in the AWS Top Secret Cloud, Amazon Bedrock is providing U.S. Government customers with secure access to foundation models (FMs) and generative artificial intelligence (AI) capabilities within AWS’s classified environment.

In this post, we explore how generative artificial intelligence (AI), powered by services such as Amazon Bedrock and Amazon SageMaker, can be harnessed to meet the unique challenges of AWS GovCloud (US). We highlight use cases that demonstrate the potential of generative AI to enhance efficiency, automate workflows, and extract insights—all within a secure, compliant framework.