Customers need to quickly analyze real-time advertising data to optimize cost and performance. With Machine Learning for Real-Time Advertising solutions, customers can apply machine learning (ML) to openRTB data sets to filter out unwanted inbound and outbound bid requests, forecast campaign delivery, and inform pricing tactics. ML helps customers innovate and differentiate their real-time advertising strategies.
Partner Solutions
Software, SaaS, or managed services from AWS Partners
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Total results: 1
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Databricks Real-Time Bidding Optimization Solution Accelerator
Databricks Lakehouse Real-Time Bidding Optimization Solution Accelerator enables customer advertising business teams extract real-time insights to make crucial business decisions for successful ad delivery and performance.
Guidance
Prescriptive architectural diagrams, sample code, and technical content
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Total results: 2
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Machine Learning for Near Real-Time Advertising on AWS
This Guidance helps AdTech users build, train, and deploy machine learning models to an ad auction server application. This helps reduce unanswered bid requests by decoupling model creation and model consumption into separate environments to enable independent scale and security measures.