AI/ML

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Context extraction from image files in Amazon Q Business using LLMs

AI/ML, Amazon Bedrock, Amazon Machine Learning, Amazon Q, Amazon Q Business, Artificial Intelligence, Generative AI, Intermediate (200) /

To effectively convey complex information, organizations increasingly rely on visual documentation through diagrams, charts, and technical illustrations. Although text documents are well-integrated into modern knowledge management systems, rich information contained in diagrams, charts, technical schematics, and visual documentation often remains inaccessible to search and AI assistants. This creates significant gaps in organizational knowledge bases, leading […]

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Build AWS architecture diagrams using Amazon Q CLI and MCP

AI/ML, Amazon Q Developer, Best Practices, Generative AI, Technical How-to /

Creating professional AWS architecture diagrams is a fundamental task for solutions architects, developers, and technical teams. These diagrams serve as essential communication tools for stakeholders, documentation of compliance requirements, and blueprints for implementation teams. However, traditional diagramming approaches present several challenges: Time-consuming process – Creating detailed architecture diagrams manually can take hours or even days

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Meeting summarization and action item extraction with Amazon Nova

AI/ML, Amazon Bedrock, Amazon Nova, Generative AI, Intermediate (200), Technical How-to /

Meetings play a crucial role in decision-making, project coordination, and collaboration, and remote meetings are common across many organizations. However, capturing and structuring key takeaways from these conversations is often inefficient and inconsistent. Manually summarizing meetings or extracting action items requires significant effort and is prone to omissions or misinterpretations. Large language models (LLMs) offer

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Build conversational interfaces for structured data using Amazon Bedrock Knowledge Bases

Advanced (300), AI/ML, Amazon Bedrock Knowledge Bases, Amazon Redshift, AWS Glue, Generative AI, Technical How-to /

Organizations manage extensive structured data in databases and data warehouses. Large language models (LLMs) have transformed natural language processing (NLP), yet converting conversational queries into structured data analysis remains complex. Data analysts must translate business questions into SQL queries, creating workflow bottlenecks. Amazon Bedrock Knowledge Bases enables direct natural language interactions with structured data sources.

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Extend your Amazon Q Business with PagerDuty Advance data accessor

AI/ML, AIML, Amazon Q, Amazon Q Business, Customer Solutions, Generative AI, Partner solutions /

This blog post is co-written with Jacky Leybman from PagerDuty. As organizations scale their digital operations, they face unprecedented challenges in managing and extracting value from their vast data ecosystems, particularly when it comes to data accessibility and quality. The complexity of modern IT operations demands solutions that can efficiently integrate, process, and deliver actionable

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Stream multi-channel audio to Amazon Transcribe using the Web Audio API

AI/ML, Amazon Transcribe, Technical How-to /

Multi-channel transcription streaming is a feature of Amazon Transcribe that can be used in many cases with a web browser. Creating this stream source has it challenges, but with the JavaScript Web Audio API, you can connect and combine different audio sources like videos, audio files, or hardware like microphones to obtain transcripts. In this

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Build a scalable AI assistant to help refugees using AWS

AI/ML, Amazon Bedrock, Amazon Machine Learning, Amazon Rekognition, Amazon Translate, Architecture, Artificial Intelligence, Customer Solutions, Generative AI /

This post is co-written with Taras Tsarenko, Vitalil Bozadzhy, and Vladyslav Horbatenko.  As organizations worldwide seek to use AI for social impact, the Danish humanitarian organization Bevar Ukraine has developed a comprehensive virtual generative AI-powered assistant called Victor, aimed at addressing the pressing needs of Ukrainian refugees integrating into Danish society. This post details our

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Enhanced diagnostics flow with LLM and Amazon Bedrock agent integration

AI/ML, Amazon Bedrock, Amazon Bedrock Agents, Amazon Machine Learning, AWS Customer, Customer Solutions, Generative AI /

Noodoe is a global leader in EV charging innovation, offering advanced solutions that empower operators to optimize their charging station operations and provide exceptional user experiences. Their universal charging stations are compatible with all EV brands and feature intuitive payment options, including credit cards and Apple Pay. Powered by the Noodoe EV OS cloud management

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Fast-track SOP processing using Amazon Bedrock

Advanced (300), AI/ML, Amazon Bedrock, Amazon Simple Storage Service (S3), AWS Customer, AWS Deep Learning, Case Study, Foundation models, Generative AI, HCLS, Healthcare, Life Sciences, Public Sector, Technical How-to /

Standard operating procedures (SOPs) are essential documents in the context of regulations and compliance. SOPs outline specific steps for various processes, making sure practices are consistent, efficient, and compliant with regulatory standards. SOP documents typically include key sections such as the title, scope, purpose, responsibilities, procedures, documentation, citations (references), and a detailed approval and revision

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Build a domain‐aware data preprocessing pipeline: A multi‐agent collaboration approach

Advanced (300), AI/ML, Amazon Bedrock, Amazon Bedrock Agents, Generative AI, Technical How-to /

Enterprises—especially in the insurance industry—face increasing challenges in processing vast amounts of unstructured data from diverse formats, including PDFs, spreadsheets, images, videos, and audio files. These might include claims document packages, crash event videos, chat transcripts, or policy documents. All contain critical information across the claims processing lifecycle. Traditional data preprocessing methods, though functional, might

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