The Ad Tech Blog
MAY 4, 2024
Moreover, federated learning can improve the efficiency of ad targeting algorithms by enabling them to learn from a broader range of data inputs without compromising on privacy. This includes understanding the data types involved, the privacy requirements, and the desired outcomes of your ad campaigns.
PrograMetrix
APRIL 28, 2021
In the ad tech space, decentralization sentiment has been spotted in frustrations over the use of personal data for ad targeting as well as in the push to regulate walled-garden advertising behemoths like Facebook and Google. The most important changes include: The EU’s General Data Protection Regulation (GDPR).
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Ad Monsters
FEBRUARY 7, 2024
Oliphant then led a Solutions Team at IBM’s Watson Advertising division, utilizing Weather Company assets and IBM tech to help create and scale products like the AI-based Watson ad unit and real-time weather-enabled ad targeting inside Facebook. Director of Digital Insights. Give yourself some flowers.
Automatad Inc.
JANUARY 31, 2022
Google’s new Topics API for interest-based user tracking in its Privacy Sandbox is being viewed with skepticism and backlash from ad tech executives and advertisers. 2021 was the strongest year on record for U.K’s ad market, recording a 26.4% However, it has been dubbed as unreliable and a misleading gesture aimed at GDPR. .
Ad Monsters
JUNE 28, 2022
DMPs: DMPs were explicitly designed to improve the quality of programmatic ad targeting and were once a widely adopted and crucial piece of the ad tech ecosystem. DMPs also pass those segments to programmatic buying platforms to inform ad targeting against high-reach audiences.
Clearcode
MAY 10, 2023
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.
Digiday
NOVEMBER 20, 2022
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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