The modern advertising ecosystem processes billions of ad impressions daily, generating vast amounts of data that must be effectively managed by AI-driven platforms. Traditional systems struggle to maintain the complex data needed for dynamic market adaptation and compliance. Next-gen platforms utilize vector databases and real-time model adaptations to improve ad relevance and reduce latency. The implementation of hybrid embeddings and Graph Attention Networks has significantly enhanced engagement and performance, adapting efficiently to regional differences, such as varying internet speeds and user trends.
"Serving the right ad in under 100ms isn't just a goal, it's a necessity in a world where billions of auctions happen every second."
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