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Simplify access control and auditing for Amazon SageMaker Studio using trusted identity propagation

Simplify access control and auditing for Amazon SageMaker Studio using trusted identity propagation

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 …

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Benchmarking document information localization with Amazon Nova

Benchmarking document information localization with Amazon Nova

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 …

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How Infosys built a generative AI solution to process oil and gas drilling data with Amazon Bedrock

How Infosys built a generative AI solution to process oil and gas drilling data with Amazon Bedrock

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 …

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Streamline employee training with an intelligent chatbot powered by Amazon Q Business

Streamline employee training with an intelligent chatbot powered by Amazon Q Business

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 …

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Create a travel planning agentic workflow with Amazon Nova

Create a travel planning agentic workflow with Amazon Nova

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 …

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Introducing Amazon Bedrock AgentCore Gateway: Transforming enterprise AI agent tool development

Introducing Amazon Bedrock AgentCore Gateway: Transforming enterprise AI agent tool development

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 …

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Build a scalable containerized web application on AWS using the MERN stack with Amazon Q Developer – Part 1

Build a scalable containerized web application on AWS using the MERN stack with Amazon Q Developer – Part 1

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 …

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Optimizing Salesforce’s model endpoints with Amazon SageMaker AI inference components

Optimizing Salesforce’s model endpoints with Amazon SageMaker AI inference components

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 …

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Building a RAG chat-based assistant on Amazon EKS Auto Mode and NVIDIA NIMs

Building a RAG chat-based assistant on Amazon EKS Auto Mode and NVIDIA NIMs

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 …

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