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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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Why we care about adtech: The complete guide

Martech

At its core, programmatic ad buying is software-driven technology that seeks to automate all or parts of the ad buying process that were previously done manually. This has two benefits: Ad buying efficiency : Programmatic advertising improves the speed and scale of the ad buying process. Contextual ad targeting.

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AI for Marketing: Best Examples of How AI Helps in Advertising

Single Grain

This involves using AI algorithms, machine learning and data analytics to automate and enhance different marketing processes. Aids in better decision-making : Machine learning programs excel at analyzing large volumes of data quickly. An example of a popular AI platform is Google Cloud AI Platform.

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Programmatic Advertising 101: Ad Types, Benefits, Drawbacks & Trends

Single Grain

This pillar provides clear and comprehensive reporting, ensures transparent pricing models, and fosters open communication between advertisers, agencies, and technology providers. Artificial Intelligence and Machine Learning AI and machine learning are set to play a significant role in programmatic advertising.

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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.