Ad Targeting Finance Machine Learning 
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. Understanding Federated Learning Key Points Federated learning enables machine learning model updates without sharing raw data.
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. Federated learning thus represents a shift towards more sustainable and privacy-conscious advertising strategies.
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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.
Basis
DECEMBER 1, 2023
FIs can be more involved in their customers’ personal finances at a smaller level like checking and savings accounts, up to major decisions like home and auto loans, financial advice, and retirement planning. People want to know how their data is being used and trust that their data, like their money, is safe.
VideoWeek
APRIL 5, 2024
Higgerston added that the amount of time people spend on Meta’s platforms is concerning given that – he claims – “reliable, accurate information is, at best, being given only equal billing to conspiracy theories and misinformation” on Facebook.
VideoWeek
AUGUST 18, 2023
Equativ Bolsters Targeting Capabilities with Nano Interactive Ad tech firm Equativ has partnered with Nano Interactive, a privacy-first ad targeting provider. The agreement grants Equativ publisher domains new targeting capabilities, according to the company, without the use of profiling or personal data.
Clearcode
MAY 10, 2023
We have a company in Asia using our data clean rooms in the trade finance sector to collaborate with logistics data for tracking and monitoring cargo shipping data. So they’re running machine learning models, in order to better predict data without ever leaking individual profile information.
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