The Ad Tech Blog
MAY 4, 2024
This technique is particularly useful in environments where data privacy is paramount, such as in personalized advertising and healthcare. Applications in Digital Advertising In the context of digital advertising, federated learning enables advertisers to create personalized ad experiences without compromising user privacy.
Digiday
FEBRUARY 19, 2023
Part of it is having our own central team – the first thing that we did here was we had a privacy champions network from GDPR,” she said. “We The other states have essentially an opt-out of processing for targeted advertising… We started having conversations with clients what I call a client privacy primer.
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Digiday
DECEMBER 20, 2022
Thus far, the saga has resulted in advertisers shying away from the platform with media agencies such as GroupM advising clients that the brand safety risks are just too great now that moderation teams are no longer there to filter content. general election of that year.
Smart-Hub
OCTOBER 15, 2023
The digital advertising landscape is evolving so rapidly that it may be challenging for businesses to maintain the same speed and adapt on time. Receive Free Custom Deployment Calculation Start An ad exchange is a digital marketplace where advertisers and publishers meet to buy and sell inventory via real-time bidding.
Single Grain
JUNE 25, 2021
In an effort to streamline a bloated digital advertising infrastructure and help create a new set of user privacy-focused open web standards, Google has announced that it will be ending support for third-party browser cookies in its Chrome browser by 2022 with its Privacy Sandbox. Chrome is the most popular browser on the market.
VideoWeek
OCTOBER 24, 2022
Earlier this month CTV advertising platform Publica appointed Steph Miller as its new commercial director for the EMEA region, part of the company’s international expansion. TV viewers and advertisers expect a premium and seamless viewing experience, Publica empowers CTV publishers to create these experiences at scale.
Single Grain
MAY 22, 2023
For example, a manufacturing company can use AI to analyze production data and identify areas where production bottlenecks occur. Manufacturing (process optimization): AI can analyze sensor data from manufacturing equipment to optimize production processes, detect anomalies, and predict maintenance needs.
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