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Integration of Federated Learning for Privacy-Preserving Ad Targeting

The Ad Tech Blog

Understanding Federated Learning in Ad Tech Key Points Federated learning allows multiple devices to contribute to machine learning models without sharing the data itself, enhancing privacy. Federated learning thus represents a shift towards more sustainable and privacy-conscious advertising strategies.

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Digiday+ Research: How marketers are using AI to target ads, recommend products and provide customer service

Digiday

With e-commerce sales soaring in recent years, thanks in part to pandemic shutdowns, and the impending death of the third-party cookie driving a need for new data collection capabilities, more marketers are turning to natural language processing (NLP) and data-driven personalization to automate customer service and gather data for ad targeting.

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Data Clean Rooms: Q&A With Juan Baron from Decentriq [VIDEO]

Clearcode

I’ve been on both the AdTech side and also on the publisher side, and since the rise of GDPR, the move towards the privacy-first type of advertising has taken hold and data clean rooms aim to fill that gap. We also work with numerous pharmaceutical companies on market share data inside the data clean room.