Amazon Bedrock Agents

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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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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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Going beyond AI assistants: Examples from Amazon.com reinventing industries with generative AI

Amazon Bedrock, Amazon Bedrock Agents, Amazon Machine Learning, Artificial Intelligence, Generative AI, Retail /

Generative AI revolutionizes business operations through various applications, including conversational assistants such as Amazon’s Rufus and Amazon Seller Assistant. Additionally, some of the most impactful generative AI applications operate autonomously behind the scenes, an essential capability that empowers enterprises to transform their operations, data processing, and content creation at scale. These non-conversational implementations, often in

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Part 3: Building an AI-powered assistant for investment research with multi-agent collaboration in Amazon Bedrock and Amazon Bedrock Data Automation

Advanced (300), Amazon Bedrock, Amazon Bedrock Agents, Financial Services /

In the financial services industry, analysts need to switch between structured data (such as time-series pricing information), unstructured text (such as SEC filings and analyst reports), and audio/visual content (earnings calls and presentations). Each format requires different analytical approaches and specialized tools, creating workflow inefficiencies. Add on top of this the intense time pressure resulting

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Integrate Amazon Bedrock Agents with Slack

Amazon API Gateway, Amazon Bedrock Agents, Amazon Simple Queue Service (SQS), Artificial Intelligence, AWS Lambda, AWS Secrets Manager, Generative AI, Intermediate (200), Technical How-to /

As companies increasingly adopt generative AI applications, AI agents capable of delivering tangible business value have emerged as a crucial component. In this context, integrating custom-built AI agents within chat services such as Slack can be transformative, providing businesses with seamless access to AI assistants powered by sophisticated foundation models (FMs). After an AI agent

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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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Automating complex document processing: How Onity Group built an intelligent solution using Amazon Bedrock

AI/ML, Amazon Bedrock, Amazon Bedrock Agents, Amazon Textract, Artificial Intelligence, AWS Customer, Customer Solutions, Generative AI, Generative BI /

In the mortgage servicing industry, efficient document processing can mean the difference between business growth and missed opportunities. This post explores how Onity Group, a financial services company specializing in mortgage servicing and origination, used Amazon Bedrock and other AWS services to transform their document processing capabilities. Onity Group, founded in 1988, is headquartered in

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Vxceed secures transport operations with Amazon Bedrock

Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, Artificial Intelligence, Customer Solutions /

Vxceed delivers SaaS solutions across industries such as consumer packaged goods (CPG), transportation, and logistics. Its modular environments include Lighthouse for CPG demand and supply chains, GroundCentric247 for airline and airport operations, and LimoConnect247 and FleetConnect247 for passenger transport. These solutions support a wide range of customers, including government agencies in Australia and New Zealand.

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Securing Amazon Bedrock Agents: A guide to safeguarding against indirect prompt injections

Amazon Bedrock, Amazon Bedrock Agents, Security /

Generative AI tools have transformed how we work, create, and process information. At Amazon Web Services (AWS), security is our top priority. Therefore, Amazon Bedrock provides comprehensive security controls and best practices to help protect your applications and data. In this post, we explore the security measures and practical strategies provided by Amazon Bedrock Agents

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Build a gen AI–powered financial assistant with Amazon Bedrock multi-agent collaboration

Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, Generative AI, Intermediate (200) /

The Amazon Bedrock multi-agent collaboration feature gives developers the flexibility to create and coordinate multiple AI agents, each specialized for specific tasks, to work together efficiently on complex business processes. This enables seamless handling of sophisticated workflows through agent cooperation. This post aims to demonstrate the application of multiple specialized agents within the Amazon Bedrock

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