Ad Tech Finance Machine Learning 
The Ad Tech Blog
JULY 11, 2024
This approach allows for the development of robust machine learning models without compromising user privacy, making it a valuable tool for ad tech companies navigating the complexities of data privacy regulations. Ad tech companies can use it to create effective ad-targeting models.
The Ad Tech Blog
JULY 17, 2024
Federated learning trains models across multiple decentralized devices. Combining these technologies enhances privacy in machine learning. HE is particularly useful in scenarios where data privacy is paramount, such as in healthcare and finance. Companies collect vast amounts of user data to deliver personalized ads.
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Ad Monsters
JUNE 17, 2022
It was a highly inspiring evening at this year’s Top Women In Media & Ad Tech awards, where we honored 127 amazing women along with our sister brand AdExchanger. While every honoree was top-notch, there were a few that we encourage you to keep an eye out for as they are doing incredible things within media and ad tech.
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. Frequently Asked Questions What is federated learning? How does federated learning enhance privacy?
The Ad Tech Blog
JUNE 2, 2024
Real-time anomaly detection systems often employ machine learning algorithms to analyze data patterns and identify deviations. As digital advertising increasingly relies on AI and machine learning to deliver personalized ads, there is a growing concern about the collection and use of user data.
Martech Series
NOVEMBER 7, 2022
Robust integration with the digital media ecosystem makes managing spend in various ad tech platforms much easier using a single UI. This tool assists the user in a wizard driven approach to roll over or move spend across different vendors and channels using either a calendar view or by editing underlying placement details.
The Ad Tech Blog
OCTOBER 4, 2023
However, determining the exact stage of AI development with precision can be challenging due to the multiple dimensions and varied applications of AI technologies: Irruption: The irruption phase might be associated with the rise of machine learning and, more specifically, deep learning around the 2010s, capturing the world’s attention.
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