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Publisher’s AI Tools, Integrations and Partnerships: New York Times – BrandMatch New York Times Advertising has long been at the forefront of digital innovation, particularly in deploying AI and machinelearning to refine adtargeting and drive monetization strategies.
Pinterest has released a new machine-learning-controlled adtargeting product and is calling it, what else, Performance+, Adweek reports. Is It All A Performance? Pinterest is the latest walled garden to enter the AI-powered performance ring – or, rather, black box. That’s right.
Players from various industries, such as retail, media and entertainment, telecommunication, and gaming, are deciding to build their own DSP. A demand-side platform (DSP) is an AdTech platform for ad buyers, such as brands and ad agencies to purchase ad inventory on an impression-by-impression basis.
How can advertisers show ads to users via the Topics API? What role will AdTech companies play in the targeting and delivery of Topics-based campaigns? Is Topics a privacy-friendly adtargeting method? The topics taxonomy will be given readable names, e.g. “Sport”, “Travel” and “Arts and Entertainment”.
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. The contract runs until the end of Q1 in 2027.
TV4 Play as users know it, with news and entertainment, is always open and free. Equativ Bolsters Targeting Capabilities with Nano Interactive Ad tech firm Equativ has partnered with Nano Interactive, a privacy-first adtargeting provider. “TV4 Play is the platform where we will build TV4’s future.
Machinelearning [ML] and AI are at its core,” said Vadim Supitskiy, Forbes’ chief technology officer. Seventy-five percent of publisher respondents to Digiday’s survey said they use data-driven personalization for ad experiences. You have to have really good and well-thought-out learning models. Reach , a U.K.-based
Ashwin Navin, Samba TV co-founder and CEO, said AI and machinelearning technology will “affect the way we work, how we understand audiences – even the way the technology is being built into the television will basically transform the viewing experience.”
But the CJEU ruling finds that even when consent is given, the principle of data minimisation still applies – consent doesn’t give tech companies carte blanche to use any and all data they have access to for adtargeting.
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 adtargeting.
Notably, over 1000 Ethics jobs are posted on LinkedIn , opening doors for professionals without machinelearning PhDs to become AI leaders. 8: AI Will Drive AdTargeting “Machinelearning and artificial intelligence have never been just ‘buzzwords’ in advertising they were always crucial pillars of the industry.
– As AI and machinelearning continue to evolve, they will drive automation, personalization, and smarter adtargeting. Publishers will increasingly use immersive formats to create more engaging advertising experiences that blend seamlessly with content, especially in e-commerce, entertainment, and gaming.
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