Advanced (300)

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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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Enhance AI agents using predictive ML models with Amazon SageMaker AI and Model Context Protocol (MCP)

Advanced (300), AI/ML, Amazon Bedrock, Amazon Machine Learning, Amazon SageMaker, Amazon SageMaker AI, Artificial Intelligence, Generative AI /

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

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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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Create a travel planning agentic workflow with Amazon Nova

Advanced (300), Amazon Bedrock, Amazon Nova, Generative AI /

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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Cost tracking multi-tenant model inference on Amazon Bedrock

Advanced (300), Amazon Bedrock, Amazon QuickSight, Cloud Cost Optimization /

Organizations serving multiple tenants through AI applications face a common challenge: how to track, analyze, and optimize model usage across different customer segments. Although Amazon Bedrock provides powerful foundation models (FMs) through its Converse API, the true business value emerges when you can connect model interactions to specific tenants, users, and use cases. Using the

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Building an AI-driven course content generation system using Amazon Bedrock

Advanced (300), Amazon Bedrock, Amazon Machine Learning, Education, Generative AI, Higher education, Public Sector, Technical How-to /

The education sector needs efficient, high-quality course material development that can keep pace with rapidly evolving knowledge domains. Faculty invest days to create content and quizzes for topics to be taught in weeks. Increased faculty engagement in manual content creation creates a time deficit for innovation in teaching, inconsistent course material, and a poor experience

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Building AIOps with Amazon Q Developer CLI and MCP Server

Advanced (300), Amazon Q Developer, Generative AI, Technical How-to /

IT teams face mounting challenges as they manage increasingly complex infrastructure and applications, often spending countless hours manually identifying operational issues, troubleshooting problems, and performing repetitive maintenance tasks. This operational burden diverts valuable technical resources from innovation and strategic initiatives. Artificial intelligence for IT operations (AIOps) presents a transformative solution, using AI to automate operational

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Automate the creation of handout notes using Amazon Bedrock Data Automation

Advanced (300), Amazon Bedrock, Amazon Bedrock Data Automation, AWS Cloud Development Kit, AWS Step Functions, Education, Generative AI, How-To, Serverless, Technical How-to /

Organizations across various sectors face significant challenges when converting meeting recordings or recorded presentations into structured documentation. The process of creating handouts from presentations requires lots of manual effort, such as reviewing recordings to identify slide transitions, transcribing spoken content, capturing and organizing screenshots, synchronizing visual elements with speaker notes, and formatting content. These challenges

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Streamline GitHub workflows with generative AI using Amazon Bedrock and MCP

Advanced (300), AI/ML, Amazon Bedrock, Artificial Intelligence, Generative AI, How-To /

Customers are increasingly looking to use the power of large language models (LLMs) to solve real-world problems. However, bridging the gap between these LLMs and practical applications has been a challenge. AI agents have appeared as an innovative technology that bridges this gap. The foundation models (FMs) available through Amazon Bedrock serve as the cognitive

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