Technical How-to

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Empowering air quality research with secure, ML-driven predictive analytics

Advanced (300), Amazon SageMaker Canvas, AWS Cloud Development Kit, Nonprofit, Serverless, Technical How-to /

Air pollution remains one of Africa’s most pressing environmental health crises, causing widespread illness across the continent. Organizations like sensors.AFRICA have deployed hundreds of air quality sensors to address this challenge, but face a critical data problem: significant gaps in PM2.5 (particulate matter with diameter less than or equal to 2.5 micrometers) measurement records because […]

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

Advanced (300), Amazon SageMaker AI, Amazon SageMaker Studio, AWS IAM Identity Center, Technical How-to /

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

Advanced (300), Amazon Bedrock, Amazon Nova, Artificial Intelligence, Generative AI, Technical How-to /

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

Amazon Q, Amazon Q Business, Technical How-to /

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

Amazon Cognito, Amazon DocumentDB, Amazon Elastic Container Service, Amazon Q Developer, Technical How-to /

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

Amazon Elastic Kubernetes Service, Amazon OpenSearch Service, Generative AI, Intermediate (200), Technical How-to /

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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Automate enterprise workflows by integrating Salesforce Agentforce with Amazon Bedrock Agents

Amazon Bedrock Agents, Artificial Intelligence, AWS Partner Network, Intermediate (200), Partner solutions, Technical How-to /

AI agents are rapidly transforming enterprise operations. Although a single agent can perform specific tasks effectively, complex business processes often span multiple systems, requiring data retrieval, analysis, decision-making, and action execution across different systems. With multi-agent collaboration, specialized AI agents can work together to automate intricate workflows. This post explores a practical collaboration, integrating Salesforce

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How Amazon Bedrock powers next-generation account planning at AWS

Amazon Bedrock, Artificial Intelligence, Technical How-to /

At AWS, our sales teams create customer-focused documents called account plans to deeply understand each AWS customer’s unique goals and challenges, helping account teams provide tailored guidance and support that accelerates customer success on AWS. As our business has expanded, the account planning process has become more intricate, requiring detailed analysis, reviews, and cross-team alignment

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Pioneering AI workflows at scale: A deep dive into Asana AI Studio and Amazon Q index collaboration

Amazon Machine Learning, Amazon Q, Amazon Q Business, Customer Solutions, Generative AI, Technical How-to /

Organizations today face a critical challenge: managing an ever-increasing volume of tasks and information across multiple systems. Although traditional task management tools help organize work, they often fall short in delivering the intelligence needed for truly efficient operations. Today, we’re excited to announce the integration of Asana AI Studio with Amazon Q index, bringing generative

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Discover insights from Microsoft Exchange with the Microsoft Exchange connector for Amazon Q Business

Amazon Q Business, Generative AI, Intermediate (200), Technical How-to /

Amazon Q Business is a fully managed, generative AI-powered assistant that helps enterprises unlock the value of their data and knowledge. With Amazon Q Business, you can quickly find answers to questions, generate summaries and content, and complete tasks by using the information and expertise stored across your company’s various data sources and enterprise systems.

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