Advertisers and publishers want to use machine learning (ML) to improve addressability and audience experience by placing ads near contextually-relevant content. For data scientists, this often requires spending significant time on data engineering, data pre-processing, and training in order to extract metadata from petabytes of media content, or score billions of ad events per day with ML models. Contextual Analysis solutions on AWS help customers spend less time on data engineering and more time on data science to accelerate time to market for ML-based contextual advertising workloads such as content metadata extraction, brand safety analysis, and fraud prevention.

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