Blog_dumb

Build a financial research assistant using Amazon Q Business and Amazon QuickSight for generative AI–powered insights

Build a financial research assistant using Amazon Q Business and Amazon QuickSight for generative AI–powered insights

According to a Gartner survey in 2024, 58% of finance functions have adopted generative AI, marking a significant rise in adoption. Among these, four primary use cases have emerged as especially prominent: intelligent process automation, anomaly detection, analytics, and operational assistance. In this post, we show you how Amazon Q Business can help augment your …

Build a financial research assistant using Amazon Q Business and Amazon QuickSight for generative AI–powered insights Read More »

Securing Amazon Bedrock Agents: A guide to safeguarding against indirect prompt injections

Securing Amazon Bedrock Agents: A guide to safeguarding against indirect prompt injections

Generative AI tools have transformed how we work, create, and process information. At Amazon Web Services (AWS), security is our top priority. Therefore, Amazon Bedrock provides comprehensive security controls and best practices to help protect your applications and data. In this post, we explore the security measures and practical strategies provided by Amazon Bedrock Agents …

Securing Amazon Bedrock Agents: A guide to safeguarding against indirect prompt injections Read More »

Build scalable containerized RAG based generative AI applications in AWS using Amazon EKS with Amazon Bedrock

Build scalable containerized RAG based generative AI applications in AWS using Amazon EKS with Amazon Bedrock

Generative artificial intelligence (AI) applications are commonly built using a technique called Retrieval Augmented Generation (RAG) that provides foundation models (FMs) access to additional data they didn’t have during training. This data is used to enrich the generative AI prompt to deliver more context-specific and accurate responses without continuously retraining the FM, while also improving …

Build scalable containerized RAG based generative AI applications in AWS using Amazon EKS with Amazon Bedrock Read More »

How Hexagon built an AI assistant using AWS generative AI services

How Hexagon built an AI assistant using AWS generative AI services

This post was co-written with Julio P. Roque Hexagon ALI. Recognizing the transformative benefits of generative AI for enterprises, we at Hexagon’s Asset Lifecycle Intelligence division sought to enhance how users interact with our Enterprise Asset Management (EAM) products. Understanding these advantages, we partnered with AWS to embark on a journey to develop HxGN Alix, …

How Hexagon built an AI assistant using AWS generative AI services Read More »

Build an intelligent community agent to revolutionize IT support with Amazon Q Business

Build an intelligent community agent to revolutionize IT support with Amazon Q Business

In the era of AI and machine learning (ML), there is a growing emphasis on enhancing security— especially in IT contexts. In this post, we demonstrate how your organization can reduce the end-to-end burden of resolving regular challenges experienced by your IT support teams—from understanding errors and reviewing diagnoses, remediation steps, and relevant documentation, to …

Build an intelligent community agent to revolutionize IT support with Amazon Q Business Read More »

Elevate marketing intelligence with Amazon Bedrock and LLMs for content creation, sentiment analysis, and campaign performance evaluation

Elevate marketing intelligence with Amazon Bedrock and LLMs for content creation, sentiment analysis, and campaign performance evaluation

In the media and entertainment industry, understanding and predicting the effectiveness of marketing campaigns is crucial for success. Marketing campaigns are the driving force behind successful businesses, playing a pivotal role in attracting new customers, retaining existing ones, and ultimately boosting revenue. However, launching a campaign isn’t enough; to maximize their impact and help achieve …

Elevate marketing intelligence with Amazon Bedrock and LLMs for content creation, sentiment analysis, and campaign performance evaluation Read More »

Congratulations to the Top MSRC 2025 Q1 Security Researchers!

Congratulations to all the researchers recognized in this quarter’s Microsoft Researcher Recognition Program leaderboard! Thank you to everyone for your hard work and continued partnership to secure customers. The top three researchers of the 2025 Q1 Security Researcher Leaderboard are 0x140ce, VictorV, Vaisha Bernard of Eye Security! Check out the full list of researchers recognized …

Congratulations to the Top MSRC 2025 Q1 Security Researchers! Read More »

Scroll to Top