Artificial Intelligence

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Building intelligent AI voice agents with Pipecat and Amazon Bedrock – Part 1

Amazon Bedrock, Artificial Intelligence, Foundational (100), Generative AI, Intermediate (200) /

Voice AI is transforming how we interact with technology, making conversational interactions more natural and intuitive than ever before. At the same time, AI agents are becoming increasingly sophisticated, capable of understanding complex queries and taking autonomous actions on our behalf. As these trends converge, you see the emergence of intelligent AI voice agents that […]

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Multi-account support for Amazon SageMaker HyperPod task governance

Amazon Elastic Kubernetes Service, Amazon SageMaker HyperPod, Artificial Intelligence, AWS Identity and Access Management (IAM), Best Practices, Intermediate (200) /

GPUs are a precious resource; they are both short in supply and much more costly than traditional CPUs. They are also highly adaptable to many different use cases. Organizations building or adopting generative AI use GPUs to run simulations, run inference (both for internal or external usage), build agentic workloads, and run data scientists’ experiments.

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Modernize and migrate on-premises fraud detection machine learning workflows to Amazon SageMaker

Amazon SageMaker, Amazon SageMaker AI, Amazon SageMaker Autopilot, Artificial Intelligence, Customer Solutions, Experience-Based Acceleration /

This post is co-written with Qing Chen and Mark Sinclair from Radial. Radial is the largest 3PL fulfillment provider, also offering integrated payment, fraud detection, and omnichannel solutions to mid-market and enterprise brands. With over 30 years of industry expertise, Radial tailors its services and solutions to align strategically with each brand’s unique needs. Radial

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Supercharge your development with Claude Code and Amazon Bedrock prompt caching

Amazon Bedrock, Artificial Intelligence, Foundation models, Generative AI, Technical How-to /

Prompt caching in Amazon Bedrock is now generally available, delivering performance and cost benefits for agentic AI applications. Coding assistants that process large codebases represent an ideal use case for prompt caching. In this post, we’ll explore how to combine Amazon Bedrock prompt caching with Claude Code—a coding agent released by Anthropic that is now

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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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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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Tailoring foundation models for your business needs: A comprehensive guide to RAG, fine-tuning, and hybrid approaches

Amazon Bedrock, Amazon Bedrock Knowledge Bases, Amazon SageMaker AI, Amazon SageMaker JumpStart, Artificial Intelligence, Foundation models, Intermediate (200), Technical How-to /

Foundation models (FMs) have revolutionised AI capabilities, but adopting them for specific business needs can be challenging. Organizations often struggle with balancing model performance, cost-efficiency, and the need for domain-specific knowledge. This blog post explores three powerful techniques for tailoring FMs to your unique requirements: Retrieval Augmented Generation (RAG), fine-tuning, and a hybrid approach combining

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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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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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AWS machine learning supports Scuderia Ferrari HP pit stop analysis

Amazon Machine Learning, Artificial Intelligence, Customer Solutions, Migration, Security /

As one of the fastest sports in the world, almost everything is a race in Formula 1® (F1), even the pit stops. F1 drivers need to stop to change tires or make repairs to damage sustained during a race. Each precious tenth of a second the car is in the pit is lost time in

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