Intermediate (200)

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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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Structured data response with Amazon Bedrock: Prompt Engineering and Tool Use

Amazon Bedrock, Best Practices, Generative AI, Intermediate (200), Technical How-to /

Generative AI is revolutionizing industries by streamlining operations and enabling innovation. While textual chat interactions with GenAI remain popular, real-world applications often depend on structured data for APIs, databases, data-driven workloads, and rich user interfaces. Structured data can also enhance conversational AI, enabling more reliable and actionable outputs. A key challenge is that LLMs (Large

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Using Amazon SageMaker AI Random Cut Forest for NASA’s Blue Origin spacecraft sensor data

Aerospace & Satellite, Amazon SageMaker, Amazon SageMaker AI, Amazon Simple Storage Service (S3), Amazon VPC, Artificial Intelligence, Intermediate (200), Python, Technical How-to /

The successful deorbit, descent, and landing of spacecraft on the Moon requires precise control and monitoring of vehicle dynamics. Anomaly detection provides a unique utility for identifying important states that might represent vehicle behaviors of interest. By producing unique vehicle behavior points, critical spacecraft system states can be identified to be more appropriately addressed and

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Build an intelligent multi-agent business expert using Amazon Bedrock

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

In this post, we demonstrate how to build a multi-agent system using multi-agent collaboration in Amazon Bedrock Agents to solve complex business questions in the biopharmaceutical industry. We show how specialized agents in research and development (R&D), legal, and finance domains can work together to provide comprehensive business insights by analyzing data from multiple sources.

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Amazon Bedrock Agents observability using Arize AI

Amazon Bedrock, Amazon Bedrock Agents, Amazon Machine Learning, Artificial Intelligence, Generative AI, Intermediate (200) /

This post is cowritten with John Gilhuly from Arize AI. With Amazon Bedrock Agents, you can build and configure autonomous agents in your application. An agent helps your end-users complete actions based on organization data and user input. Agents orchestrate interactions between foundation models (FMs), data sources, software applications, and user conversations. In addition, agents

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No-code data preparation for time series forecasting using Amazon SageMaker Canvas

Amazon SageMaker, Amazon SageMaker Data Wrangler, Intermediate (200), Technical How-to /

Time series forecasting helps businesses predict future trends based on historical data patterns, whether it’s for sales projections, inventory management, or demand forecasting. Traditional approaches require extensive knowledge of statistical methods and data science methods to process raw time series data. Amazon SageMaker Canvas offers no-code solutions that simplify data wrangling, making time series forecasting

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Build a scalable AI video generator using Amazon SageMaker AI and CogVideoX

Amazon SageMaker, Amazon SageMaker AI, Artificial Intelligence, Generative AI, Intermediate (200) /

In recent years, the rapid advancement of artificial intelligence and machine learning (AI/ML) technologies has revolutionized various aspects of digital content creation. One particularly exciting development is the emergence of video generation capabilities, which offer unprecedented opportunities for companies across diverse industries. This technology allows for the creation of short video clips that can be

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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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How Gardenia Technologies helps customers create ESG disclosure reports 75% faster using agentic generative AI on Amazon Bedrock

Advanced (300), Amazon Bedrock, Amazon Bedrock Agents, Amazon Textract, Customer Solutions, Intermediate (200), Sustainability, Technical How-to /

This post was co-written with Federico Thibaud, Neil Holloway, Fraser Price, Christian Dunn, and Frederica Schrager from Gardenia Technologies “What gets measured gets managed” has become a guiding principle for organizations worldwide as they begin their sustainability and environmental, social, and governance (ESG) journeys. Companies are establishing baselines to track their progress, supported by an expanding framework of reporting standards,

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Automate customer support with Amazon Bedrock, LangGraph, and Mistral models

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

AI agents are transforming the landscape of customer support by bridging the gap between large language models (LLMs) and real-world applications. These intelligent, autonomous systems are poised to revolutionize customer service across industries, ushering in a new era of human-AI collaboration and problem-solving. By harnessing the power of LLMs and integrating them with specialized tools

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