Before the advent of AI, scene-level contextual advertising was largely impractical. Implementing it required labor-intensive manual review to interpret dialogue, context, language and tone, often leading to misjudgments.
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The Nashville Sell Side Summit theme “Beyond the Browser,” resonated with publisher concerns around AI-powered, zero-click answer engines and the need to meet audiences outside of their own websites, which are receiving less referral traffic from search and social.
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The New York Times’ Robyn Roberts shares how her team is using curation and partnerships to position its ad inventory as premium and drive sustainable revenue growth.
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Yield, as it relates to AI video, describes the percentage of generated videos that are immediately usable—meeting the standards for accuracy, brand consistency, compliance and creative impact.
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When Jules Minvielle, co-founder and CEO of Olyzon.tv, launched his third ad tech startup, CTV’s rise and AI’s rewriting of ad ops were too significant to ignore, and he built it to converge the two.
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A modern measurement standard must fuse the granular, causal truth with a strategic outlook, operating at the speed of the market. Here are three considerations to ensure your measurement approach is primed to fuel success.
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llms.txt is the velvet rope between your content and AI crawlers. Here’s how ad ops can turn it into AI-safe inventory, enforce compliance, and turn crawls into cash.
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Last week in New York, more than 80 media leaders, platforms and tech vendors gathered as part of an IAB Tech Lab working group to discuss AI platforms scraping their content without permission and compensation.
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In theory, software as a service (SaaS) is supposed to unlock innovation. But in ad tech, we’re beginning to see signs that SaaS may be doing the opposite.
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The publisher monetization startup ArcSpan raised $5.2 million in a seed extension round Wednesday. It will use the fund to invest in its tool set, which simplifies how publishers can use their first-party data.
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