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- Guidance for Advertising Agents on AWS
Guidance for Advertising Agents on AWS
Overview
This Guidance demonstrates how to transform advertising operations through AI-powered automation and multi-agent collaboration systems on Amazon Bedrock. It shows organizations how to streamline complex AdTech workflows, from campaign optimization to brand safety monitoring, using sophisticated AI agents working in concert. The solution helps marketing teams and advertising technology companies accelerate their digital transformation by providing a production-ready framework for automated decision-making in programmatic advertising. By implementing comprehensive knowledge bases and interactive simulation capabilities, this guidance enables teams to optimize campaign performance, improve ad yield, and make data-driven creative decisions while maintaining brand safety standards.
Benefits
Deploy specialized AI agents that collaborate to transform complex advertising workflows into actionable insights. Business users can interact naturally with media planning, inventory optimization, and ad load optimization agents to receive comprehensive campaign strategies in real time.
Leverage AI-powered analysis of campaign intelligence, performance analytics, and viewer monetization data to identify optimal audience segments and ad formats. The collaborative agent system delivers interactive visualizations with revenue projections to help maximize advertising yield.
Implement a secure, scalable architecture where business users can engage with specialized advertising agents through natural language conversations. The solution reduces manual effort by automating campaign planning tasks while maintaining governance through fine-grained IAM permissions.
How it works
These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.
Deploy with confidence
Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs.
Disclaimer
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.
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