As an Amazon Web Services (AWS) enterprise customer, you’re probably exploring ways to use generative AI to enhance your business processes, improve customer experiences, and drive innovation. With a variety of options available—from Amazon Q Business to other AWS services or third-party offerings—choosing the right tool for your use case can be challenging. This post … Read more
Amazon SageMaker Unified Studio is a single integrated development environment (IDE) that brings together your data tools for analytics and AI. As part of the next generation of Amazon SageMaker, it contains integrated tooling for building data pipelines, sharing datasets, monitoring data governance, running SQL analytics, building artificial intelligence and machine learning (AI/ML) models, and … Read more
AI-powered apps and AI-powered service delivery are key differentiators in the enterprise space today. A generative AI-based resource can greatly reduce the onboarding time for new employees, enhance enterprise search, assist in drafting content, check for compliance, understand the legal language of data, and more. Generative AI applications are an emerging and sought-after solution in … Read more
This post was written with Jake Friedman from Wildlife. Businesses are seeking innovative ways to differentiate themselves through hyper-personalization and enhanced customer experiences. At the Cannes Lions International Festival of Creativity 2025, AWS showcased The Fragrance Lab, an interactive and inspiring experience that demonstrates how generative AI can support the development of hyper-personalized consumer goods … Read more
Tyson Foodservice operates as a critical division within Tyson Foods Inc., using its extensive protein production capabilities to supply a diverse array of foodservice clients across multiple sectors. As one of the largest protein providers in the US, Tyson Foods produces approximately 20% of the nation’s beef, pork, and chicken, which forms the foundation of … Read more
Machine learning (ML) has evolved from an experimental phase to becoming an integral part of business operations. Organizations now actively deploy ML models for precise sales forecasting, customer segmentation, and churn prediction. While traditional ML continues to transform business processes, generative AI has emerged as a revolutionary force, introducing powerful and accessible tools that reshape … Read more
AWS supports trusted identity propagation, a feature that allows AWS services to securely propagate a user’s identity across service boundaries. With trusted identity propagation, you have fine-grained access controls based on a physical user’s identity rather than relying on IAM roles. This integration allows for the implementation of access control through services such as Amazon … Read more
Every day, enterprises process thousands of documents containing critical business information. From invoices and purchase orders to forms and contracts, accurately locating and extracting specific fields has traditionally been one of the most complex challenges in document processing pipelines. Although optical character recognition (OCR) can tell us what text exists in a document, determining where … Read more
Enterprises across industries like healthcare, finance, manufacturing, and legal services face escalating challenges in processing vast amounts of multimodal data that combines text, images, charts, and complex technical formats. As organizations generate multimodal content at unprecedented speed and scale, document processing methods increasingly fail to handle the intricacies of specialized domains where technical terminology, interconnected … Read more
Amazon Q Business is a generative AI-powered assistant for interacting with organizational knowledge and enterprise systems. In addition to providing built-in connectors and plug-ins to connect seamlessly to over 40 popular enterprise systems, Amazon Q Business provides the ability to interact seamlessly with other third-party applications using custom plugins. Some of the enterprise systems that … Read more
Traveling is enjoyable, but travel planning can be complex to navigate and a hassle. Travelers must book accommodations, plan activities, and arrange local transportation. All these decisions can feel overwhelming. Although travel professionals have long helped manage these complexities, recent breakthroughs in generative AI have made something entirely new possible—intelligent assistants that can understand natural … Read more
To fulfill their tasks, AI Agents need access to various capabilities including tools, data stores, prompt templates, and other agents. As organizations scale their AI initiatives, they face an exponentially growing challenge of connecting each agent to multiple tools, creating an M×N integration problem that significantly slows development and increases complexity. Although protocols such as … Read more
The MERN (MongoDB, Express, React, Node.js) stack is a popular JavaScript web development framework. The combination of technologies is well-suited for building scalable, modern web applications, especially those requiring real-time updates and dynamic user interfaces. Amazon Q Developer is a generative AI-powered assistant that improves developer efficiency across the different phases of the software development … Read more
This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. The Salesforce AI Platform Model Serving team is dedicated to developing and managing services that power large language models (LLMs) and other AI workloads within Salesforce. Their main focus … Read more
Chat-based assistants powered by Retrieval Augmented Generation (RAG) are transforming customer support, internal help desks, and enterprise search, by delivering fast, accurate answers grounded in your own data. With RAG, you can use a ready-to-deploy foundation model (FM) and enrich it with your own data, making responses relevant and context-aware without the need for fine-tuning … Read more
We’re excited to introduce Amazon Bedrock AgentCore Identity, a comprehensive identity and access management service purpose-built for AI agents. With AgentCore Identity AI, agent developers and administrators can securely access AWS resources and third-party tools such as GitHub, Salesforce, or Slack. AgentCore Identity provides robust identity and access management at scale so that agents can … Read more
Intelligent document processing (IDP) is a technology to automate the extraction, analysis, and interpretation of critical information from a wide range of documents. By using advanced machine learning (ML) and natural language processing algorithms, IDP solutions can efficiently extract and process structured data from unstructured text, streamlining document-centric workflows. When enhanced with generative AI capabilities, … Read more
Upgrading legacy systems has become increasingly important to stay competitive in today’s market as outdated infrastructure can cost organizations time, money, and market position. However, modernization efforts face challenges like time-consuming architecture reviews, complex migrations, and fragmented systems. These delays not only impact engineering teams but have broader impacts including lost market opportunities, reduced competitiveness, … Read more
Amazon Q Business is a generative AI-powered enterprise assistant that helps organizations unlock value from their data. By connecting to enterprise data sources, employees can use Amazon Q Business to quickly find answers, generate content, and automate tasks—from accessing HR policies to streamlining IT support workflows, all while respecting existing permissions and providing clear citations. … Read more
This post was co-authored with Laura Lee Williams and John Jabara from University Startups. University Startups, headquartered in Bethesda, MD, was founded in 2020 to empower high school students to expand their education beyond a traditional curriculum. University Startups is focused on special education and related services in school districts throughout the US. After students … Read more
Large language models (LLMs) have become increasingly prevalent across both consumer and enterprise applications. However, their tendency to “hallucinate” information and deliver incorrect answers with seeming confidence has created a trust problem. Think of LLMs as you would a human expert: we typically trust experts who can back up their claims with references and walk … Read more
Organizations are increasingly excited about the potential of AI agents, but many find themselves stuck in what we call “proof of concept purgatory”—where promising agent prototypes struggle to make the leap to production deployment. In our conversations with customers, we’ve heard consistent challenges that block the path from experimentation to enterprise-grade deployment: “Our developers want … Read more
This is a guest post co-written with Scott Likens, Ambuj Gupta, Adam Hood, Chantal Hudson, Priyanka Mukhopadhyay, Deniz Konak Ozturk, and Kevin Paul from PwC Organizations are deploying generative AI solutions while balancing accuracy, security, and compliance. In this globally competitive environment, scale matters less, speed matters more, and innovation matters most of all, according … Read more
At Amazon, our team builds Rufus, a generative AI-powered shopping assistant that serves millions of customers at immense scale. However, deploying Rufus at scale introduces significant challenges that must be carefully navigated. Rufus is powered by a custom-built large language model (LLM). As the model’s complexity increased, we prioritized developing scalable multi-node inference capabilities that … Read more
Agentic AI is revolutionizing the financial services industry through its ability to make autonomous decisions and adapt in real time, moving well beyond traditional automation. Imagine an AI assistant that can analyze quarterly earnings reports, compare them against industry expectations, and generate insights about future performance. This seemingly straightforward task involves multiple complex steps: document … Read more
AI assistants that forget what you told them 5 minutes ago aren’t very helpful. While large language models (LLMs) excel at generating human-like responses, they are fundamentally stateless—they don’t retain information between interactions. This forces developers to build custom memory systems to track conversation history, remember user preferences, and maintain context across sessions, often solving … Read more
Data analysis often presents significant challenges for business users who aren’t proficient in SQL. Traditional methods require technical expertise to query databases, leading to delayed insights and dependence on data teams. Many organizations struggle with making their data accessible to business users while maintaining the analytical capabilities of Amazon Athena. Modern AI agents are transforming … Read more
Imagine harnessing the power of 72 cutting-edge NVIDIA Blackwell GPUs in a single system for the next wave of AI innovation, unlocking 360 petaflops of dense 8-bit floating point (FP8) compute and 1.4 exaflops of sparse 4-bit floating point (FP4) compute. Today, that’s exactly what Amazon SageMaker HyperPod delivers with the launch of support for … Read more
This post is co-written with Rudra Kannemadugu and Shravan K S from Indegene Limited. In today’s digital-first world, healthcare conversations are increasingly happening online. Yet the life sciences industry has struggled to keep pace with this shift, facing challenges in effectively analyzing and deriving insights from complex medical discussions on a scale. This post will … Read more
This post is co-authored with Karsten Weber and Rosary Wang from Lexbe. Legal professionals are frequently tasked with sifting through vast volumes of documents to identify critical evidence for litigation. This process can be time-consuming, prone to human error, and expensive—especially when tight deadlines loom. Lexbe, a leader in legal document review software, confronted these … Read more