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  • Build reliable Agentic AI solution with Amazon Bedrock: Learn from Pushpay’s journey on GenAI evaluation

    calendar Jan 27, 2026 · aws.amazon.com/blogs/machine-learning
    Build reliable Agentic AI solution with Amazon Bedrock: Learn from Pushpay’s journey on GenAI evaluation

    In this post, we walk you through Pushpay's journey in building this solution and explore how Pushpay used Amazon Bedrock to create a custom generative AI evaluation framework for continuous quality assurance and establishing rapid iteration feedback loops on AWS. Link to article: …


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

    calendar Jan 27, 2026 · aws.amazon.com/blogs/machine-learning
    Build an intelligent contract management solution with Amazon Quick Suite and Bedrock AgentCore

    This blog post demonstrates how to build an intelligent contract management solution using Amazon Quick Suite as your primary contract management solution, augmented with Amazon Bedrock AgentCore for advanced multi-agent capabilities. Link to article: …


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  • Build a serverless AI Gateway architecture with AWS AppSync Events

    calendar Jan 26, 2026 · aws.amazon.com/blogs/machine-learning
    Build a serverless AI Gateway architecture with AWS AppSync Events

    In this post, we discuss how to use AppSync Events as the foundation of a capable, serverless, AI gateway architecture. We explore how it integrates with AWS services for comprehensive coverage of the capabilities offered in AI gateway architectures. Finally, we get you started on your journey with sample code you can …


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

    calendar Jan 26, 2026 · aws.amazon.com/blogs/machine-learning
    How Totogi automated change request processing with Totogi BSS Magic and Amazon Bedrock

    This blog post describes how Totogi automates change request processing by partnering with the AWS Generative AI Innovation Center and using the rapid innovation capabilities of Amazon Bedrock. Link to article: …


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  • Build AI agents with Amazon Bedrock AgentCore using AWS CloudFormation

    calendar Jan 23, 2026 · aws.amazon.com/blogs/machine-learning
    Build AI agents with Amazon Bedrock AgentCore using AWS CloudFormation

    Amazon Bedrock AgentCore services are now being supported by various IaC frameworks such as AWS Cloud Development Kit (AWS CDK), Terraform and AWS CloudFormation Templates. This integration brings the power of IaC directly to AgentCore so developers can provision, configure, and manage their AI agent infrastructure. In …


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  • How the Amazon.com Catalog Team built self-learning generative AI at scale with Amazon Bedrock

    calendar Jan 23, 2026 · aws.amazon.com/blogs/machine-learning
    How the Amazon.com Catalog Team built self-learning generative AI at scale with Amazon Bedrock

    In this post, we demonstrate how the Amazon Catalog Team built a self-learning system that continuously improves accuracy while reducing costs at scale using Amazon Bedrock. Link to article: …


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  • How PDI built an enterprise-grade RAG system for AI applications with AWS

    calendar Jan 22, 2026 · aws.amazon.com/blogs/machine-learning
    How PDI built an enterprise-grade RAG system for AI applications with AWS

    PDI Technologies is a global leader in the convenience retail and petroleum wholesale industries. In this post, we walk through the PDI Intelligence Query (PDIQ) process flow and architecture, focusing on the implementation details and the business outcomes it has helped PDI achieve. Link to article: …


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  • How CLICKFORCE accelerates data-driven advertising with Amazon Bedrock Agents

    calendar Jan 22, 2026 · aws.amazon.com/blogs/machine-learning
    How CLICKFORCE accelerates data-driven advertising with Amazon Bedrock Agents

    In this post, we demonstrate how CLICKFORCE used AWS services to build Lumos and transform advertising industry analysis from weeks-long manual work into an automated, one-hour process. Link to article: …


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