HCLTech’s AWS powered AutoWise Companion: A seamless experience for informed automotive buyer decisions with data-driven design

Favorite This post introduces HCLTech’s AutoWise Companion, a transformative generative AI solution designed to enhance customers’ vehicle purchasing journey. By tailoring recommendations based on individuals’ preferences, the solution guides customers toward the best vehicle model for them. Simultaneously, it empowers vehicle manufacturers (original equipment manufacturers (OEMs)) by using real customer

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Shared by AWS Machine Learning January 16, 2025

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

Favorite 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

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Shared by AWS Machine Learning January 15, 2025

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

Favorite 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

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Shared by AWS Machine Learning January 14, 2025

Email your conversations from Amazon Q

Favorite As organizations navigate the complexities of the digital realm, generative AI has emerged as a transformative force, empowering enterprises to enhance productivity, streamline workflows, and drive innovation. To maximize the value of insights generated by generative AI, it is crucial to provide simple ways for users to preserve and share

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Shared by AWS Machine Learning January 10, 2025

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

Favorite 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

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Shared by AWS Machine Learning January 10, 2025

Build an Amazon Bedrock based digital lending solution on AWS

Favorite 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

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Shared by AWS Machine Learning January 10, 2025

Unlock cost-effective AI inference using Amazon Bedrock serverless capabilities with an Amazon SageMaker trained model

Favorite In this post, I’ll show you how to use Amazon Bedrock—with its fully managed, on-demand API—with your Amazon SageMaker trained or fine-tuned model. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere,

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Shared by AWS Machine Learning January 9, 2025