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.
In the absence of a federal privacy law, advertisers can expect a steady stream of state privacy law announcements. Just fill in the blanks.
State privacy laws could make it a lot harder for advertisers to use IP addresses – a foundational signal for CTV ad targeting and attribution for well over a decade.
U.S. state privacy laws are multiplying at a dizzying rate. Here are the key points to know for the collection and processing of sensitive information for the rest of 2023.
AdsPostX’s OmniSDK tool identifies and combines implicit and explicit signals about user behavior. Retailers can use this information to show customers relevant offers after checkout.
Here’s today’s AdExchanger.com news round-up… Want it by email? Sign up here. Rise (And Fall) Of The Machines CNET made waves in January when it started publishing articles that were completely generated by AI. But the publisher is already rethinking how it’s using AI to write content after some early missteps, The Verge reports. Half […]
While a number of companies have already made a name for themselves in the data clean room category, it has become clear that no single solution, or even a single data clean room model, will emerge as the industry standard.
There are three key ways in which the industry can do a better job of selling customers on the value exchange they’ll see from sharing their data with brands, writes Scott McDonald, President and CEO of the Advertising Research Foundation.
Clean rooms are riding a wave of momentum as the ad industry looks for ways to use aggregated, anonymized data sets to predict audience identity. Yet, despite a catchy name, clean rooms aren’t necessarily as “clean” as they promise to be, writes Drew Stein, CEO of Audigent.
A weekly comic strip from AdExchanger.com that highlights the digital advertising ecosystem…
