AI

Build an intelligent contract management solution with Amazon Quick Suite and Bedrock AgentCore

Organizations managing hundreds of contracts annually face significant inefficiencies, with fragmented systems and complex workflows that require teams to spend hours on contract review cycles. This solution addresses these challenges through multi-agent collaboration—specialized AI agents that can work simultaneously on different aspects of contract analysis, reducing cycle times while maintaining accuracy and oversight. This guide […]

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Build a serverless AI Gateway architecture with AWS AppSync Events

AWS AppSync Events can help you create more secure, scalable Websocket APIs. In addition to broadcasting real-time events to millions of Websocket subscribers, it supports a crucial user experience requirement of your AI Gateway: low-latency propagation of events from your chosen generative AI models to individual users. In this post, we discuss how to use

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How Totogi automated change request processing with Totogi BSS Magic and Amazon Bedrock

This post is cowritten by Nikhil Mathugar, Marc Breslow and Sudhanshu Sinha from Totogi. This blog post describes how Totogi automates change request processing. Totogi is an AI company focused on helping helping telecom (telco) companies innovate, accelerate growth and adopt AI at scale. BSS Magic, Totogi’s flagship product, connects and models telco business operations,

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Build AI agents with Amazon Bedrock AgentCore using AWS CloudFormation

Agentic-AI has become essential for deploying production-ready AI applications, yet many developers struggle with the complexity of manually configuring agent infrastructure across multiple environments. Infrastructure as code (IaC) facilitates consistent, secure, and scalable infrastructure that autonomous AI systems require. It minimizes manual configuration errors through automated resource management and declarative templates, reducing deployment time from

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