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This post is co-written with Xavier Vizcaino, Diego Martín Montoro, and Jordi Sánchez Ferrer from Applus+ Idiada. In 2021, Applus+ IDIADA, a global partner to the automotive industry with over 30 years of experience supporting customers in product development activities through design, engineering, testing, and homologation services, established the Digital Solutions department. This strategic move …

How IDIADA optimized its intelligent chatbot with Amazon Bedrock Read More »

Troubleshooting infrastructure as code (IaC) errors often consumes valuable time and resources. Developers can spend multiple cycles searching for solutions across forums, troubleshooting repetitive issues, or trying to identify the root cause. These delays can lead to missed security errors or compliance violations, especially in complex, multi-account environments. This post demonstrates how you can use …

Accelerate IaC troubleshooting with Amazon Bedrock Agents Read More »

This blog post is co-written with Gene Arnold from Alation. To build a generative AI-based conversational application integrated with relevant data sources, an enterprise needs to invest time, money, and people. First, you would need build connectors to the data sources. Next you need to index this data to make it available for a Retrieval …

Derive generative AI powered insights from Alation Cloud Services using Amazon Q Business Custom Connector Read More »

AI is within reach of any company, large or small. But many companies are unclear where and how to practically apply AI within their business; have concerns about security, privacy and compliance; and perceive AI as complex and costly to integrate into existing services, products and processes. Rapidly evolving AI technologies can also make it …

AI innovation starts here—join Microsoft at NVIDIA GTC Read More »

In 2024, more than 140,000 people participated in Google and Kaggle’s Gen AI Intensive live course. Our course is returning this year, with updated content and a new Kag…

Today, we’re excited to announce that Mistral-Small-24B-Instruct-2501—a twenty-four billion parameter large language model (LLM) from Mistral AI that’s optimized for low latency text generation tasks—is available for customers through Amazon SageMaker JumpStart and Amazon Bedrock Marketplace. Amazon Bedrock Marketplace is a new capability in Amazon Bedrock that developers can use to discover, test, and use over 100 …

Mistral-Small-24B-Instruct-2501 is now available on SageMaker Jumpstart and Amazon Bedrock Marketplace Read More »

This post was written with Dian Xu and Joel Hawkins of Rocket Companies. Rocket Companies is a Detroit-based FinTech company with a mission to “Help Everyone Home”. With the current housing shortage and affordability concerns, Rocket simplifies the homeownership process through an intuitive and AI-driven experience. This comprehensive framework streamlines every step of the homeownership …

How Rocket Companies modernized their data science solution on AWS Read More »

Providing effective multilingual customer support in global businesses presents significant operational challenges. Through collaboration between AWS and DXC Technology, we’ve developed a scalable voice-to-voice (V2V) translation prototype that transforms how contact centers handle multi-lingual customer interactions. In this post, we discuss how AWS and DXC used Amazon Connect and other AWS AI services to deliver …

AWS and DXC collaborate to deliver customizable, near real-time voice-to-voice translation capabilities for Amazon Connect Read More »

Generative AI is revolutionizing enterprise automation, enabling AI systems to understand context, make decisions, and act independently. Generative AI foundation models (FMs), with their ability to understand context and make decisions, are becoming powerful partners in solving sophisticated business problems. At AWS, we’re using the power of models in Amazon Bedrock to drive automation of …

Orchestrate an intelligent document processing workflow using tools in Amazon Bedrock Read More »

Large language models (LLMs) excel at generating human-like text but face a critical challenge: hallucination—producing responses that sound convincing but are factually incorrect. While these models are trained on vast amounts of generic data, they often lack the organization-specific context and up-to-date information needed for accurate responses in business settings. Retrieval Augmented Generation (RAG) techniques …

Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases Read More »