“Standard advertising services” shouldn’t include recording intimate patient-doctor conversations to help drug companies guide doctors on how to push opioids.
Are the big players building a more privacy-friendly advertising ecosystem in the right way? Or are they just cementing their control?
How can we establish guardrails for the use of generative AI while supporting creative exploration? As banal as it sounds, the answer is to create a comprehensive gen AI policy.
The push for more privacy-compliant ad targeting, combined with recent advancements in the use of on-device signals like location and biometric data, could mean the industry is finally primed to unlock mobile’s true value.
Lawmakers are busy playing politics, and it’s getting in the way of creating safety guardrails for children’s privacy online.
With the encroaching reality of AI, marketing professionals should be included in strategic planning, given the roles we play in shaping public image and maintaining a brand.
Crisis is often fertile ground for change. And boy, the marketing world is in desperate need of change.
Until universal standards are set and adopted by retailers, marketers need to ask some boring yet fundamental questions about the metrics currently in use if they want to assess and compare performance across retailers.
Self-supervised learning is at the heart of generative AI, and it’s perfectly suited to address the signal loss we’re increasingly facing in digital advertising today.
Welcome to Scandi-Land, where the cookieless future has been our online media reality for the last five years. Here are three lessons for media planners, buyers, sellers and platforms who are going to have a tough time navigating the thicket of change.
