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Camelot Secure’s AI wizard eases path to cybersecurity compliance

CIO

Cybersecurity company Camelot Secure, which specializes in helping organizations comply with CMMC, has seen the burdens of “compliance overload” first-hand through its customers. To address compliance fatigue, Camelot began work on its AI wizard in 2023. Myrddin uses AI to interact intelligently with users.

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Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning - AI

Were excited to announce the open source release of AWS MCP Servers for code assistants a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. This post is the first in a series covering AWS MCP Servers.

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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning - AI

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. As a leader in financial services, Principal wanted to make sure all data and responses adhered to strict risk management and responsible AI guidelines.

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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning - AI

The collaboration between BQA and AWS was facilitated through the Cloud Innovation Center (CIC) program, a joint initiative by AWS, Tamkeen , and leading universities in Bahrain, including Bahrain Polytechnic and University of Bahrain. The extracted text data is placed into another SQS queue for the next processing step.

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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning - AI

It adheres to enterprise-grade security and compliance standards, enabling you to deploy AI solutions with confidence. Cross-Region inference enables seamless management of unplanned traffic bursts by using compute across different AWS Regions. Virginia) AWS Regions helping to ensure seamless request routing and enhanced reliability.

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Using responsible AI principles with Amazon Bedrock Batch Inference

AWS Machine Learning - AI

Prerequisites To implement the proposed solution, make sure you have satisfied the following requirements: Have an active AWS account. Ethical prompting techniques When setting up your batch inference job, it’s crucial to incorporate ethical guidelines into your prompts. Create a guardrail based on your specific responsible AI needs.

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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning - AI

Developer tools The solution also uses the following developer tools: AWS Powertools for Lambda – This is a suite of utilities for Lambda functions that generates OpenAPI schemas from your Lambda function code. After deployment, the AWS CDK CLI will output the web application URL. Python 3.9 or later Node.js

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