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Implement RAG while meeting data residency requirements using AWS hybrid and edge services

Implement RAG while meeting data residency requirements using AWS hybrid and edge services

With the general availability of Amazon Bedrock Agents, you can rapidly develop generative AI applications to run multi-step tasks across a myriad of enterprise systems and data sources. However, some geographies and regulated industries bound by data protection and privacy regulations have sought to combine generative AI services in the cloud with regulated data on …

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Unlocking complex problem-solving with multi-agent collaboration on Amazon Bedrock

Unlocking complex problem-solving with multi-agent collaboration on Amazon Bedrock

Large language model (LLM) based AI agents that have been specialized for specific tasks have demonstrated great problem-solving capabilities. By combining the reasoning power of multiple intelligent specialized agents, multi-agent collaboration has emerged as a powerful approach to tackle more intricate, multistep workflows. The concept of multi-agent systems isn’t entirely new—it has its roots in …

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Azure Storage—A look back and a look forward

Azure Storage—A look back and a look forward

Last January, we shared our reflection of 2023 and outlook for 2024—and what a year it has been! Microsoft has been at the forefront of groundbreaking AI solutions, empowering end customers, developers and IT Professionals in the cloud while accelerating enterprise migrations to Azure. Azure Storage has evolved to bolster the evolution of Microsoft AI …

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How BQA streamlines education quality reporting using Amazon Bedrock

How BQA streamlines education quality reporting using Amazon Bedrock

Given the value of data today, organizations across various industries are working with vast amounts of data across multiple formats. Manually reviewing and processing this information can be a challenging and time-consuming task, with a margin for potential errors. This is where intelligent document processing (IDP), coupled with the power of generative AI, emerges as …

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Boosting team innovation, productivity, and knowledge sharing with Amazon Q Business – Web experience

Boosting team innovation, productivity, and knowledge sharing with Amazon Q Business – Web experience

Amazon Q Business can increase productivity across diverse teams, including developers, architects, site reliability engineers (SREs), and product managers. Amazon Q Business as a web experience makes AWS best practices readily accessible, providing cloud-centered recommendations quickly and making it straightforward to access AWS service functions, limits, and implementations. These elements are brought together in a …

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Build an Amazon Bedrock based digital lending solution on AWS

Build an Amazon Bedrock based digital lending solution on AWS

Digital lending is a critical business enabler for banks and financial institutions. Customers apply for a loan online after completing the know your customer (KYC) process. A typical digital lending process involves various activities, such as user onboarding (including steps to verify the user through KYC), credit verification, risk verification, credit underwriting, and loan sanctioning. …

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Build AI-powered malware analysis using Amazon Bedrock with Deep Instinct

Build AI-powered malware analysis using Amazon Bedrock with Deep Instinct

This post is co-written with Yaniv Avolov, Tal Furman and Maor Ashkenazi from Deep Instinct. Deep Instinct is a cybersecurity company that offers a state-of-the-art, comprehensive zero-day data security solution—Data Security X (DSX), for safeguarding your data repositories across the cloud, applications, network attached storage (NAS), and endpoints. DSX provides unmatched prevention and explainability by …

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