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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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Revolutionizing clinical trials with the power of voice and AI

AWS Machine Learning - AI

Text preprocessing The transcribed text undergoes preprocessing steps, such as removing identifying information, formatting the data, and enforcing compliance with relevant data privacy regulations. Identification of protocol deviations or non-compliance. These insights can include: Potential adverse event detection and reporting.

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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.