Ad Targeting Ad Tech Healthcare 
The Ad Tech Blog
JULY 11, 2024
In the evolving landscape of digital advertising, federated learning offers a promising solution for privacy-preserving ad targeting. Ad tech companies can use it to create effective ad-targeting models. It enhances privacy by keeping user data on local devices.
The Ad Tech Blog
MAY 4, 2024
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. This technique is particularly useful in environments where data privacy is paramount, such as in personalized advertising and healthcare.
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The Ad Tech Blog
JULY 17, 2024
HE is particularly useful in scenarios where data privacy is paramount, such as in healthcare and finance. FL is particularly useful in industries where data privacy is critical, such as healthcare, finance, and advertising. Companies collect vast amounts of user data to deliver personalized ads.
Ad Tech Daily
OCTOBER 11, 2024
Leveraging M3 MI’s (formerly Kantar Media Healthcare Research) self-reported, survey-based healthcare data, Simulmedia’s enhanced offering provides pharma marketers with future-proof, privacy-compliant targeting across streaming TV.
VideoWeek
FEBRUARY 23, 2024
The Week in Tech RTL and ProSieben Combine Ad Tech Stacks in Latest Push for European Collaboration RTL Deutschland and ProSiebenSat.1 1 this week announced they will combine their ad tech offerings in efforts to bolster the German ad market. Read more on VideoWeek. Read more on VideoWeek.
VideoWeek
APRIL 26, 2024
First-party data is also attached to these profiles to enable audience targeting, while WBD says clean room solutions provided by Snowflake will enable advertisers to fold in their own data. Olli also streamlines WBD’s ad tech processes, according to the company, for unified planning across its portfolio.
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