artificial intelligence

Advantage+ didn’t come up during Meta’s Q4 earnings call on Wednesday, but it’s the ad product Chief Business Officer Marne Levine says she’s most excited about.

2022 was a no good, very bad year for Meta’s stock. It was the year that Meta reported its first-ever revenue decline – yet shares soared by more than 30% in after-hours trading on Wednesday following Meta’s Q4 2022 earnings report.

Performance marketers once turned up their noses at creative, seeming to only care about audience targeting. But signal loss is putting creative back into the spotlight by highlighting how essential even the smallest of details can be, says VidMob CEO Alex Collmer. Also: Hot takes on generative AI art. (Spoiler: Humans aren’t obsolete – yet.)

On Tuesday, Boathouse launched a product called Narrative Transformation through partnerships with consumer and market intelligence platforms Signal AI and NetBase Quid. The tool helps brands “cut through the clutter, get to the 10 or 15 most important conversations and give actionable insights,” said Boathouse President Peter Prodromou.

“‘Cookieless’ is just a buzzword,” said Sanup Pillai, DHL’s global head of digital marketing and mar tech tells AdExchanger. “I wouldn’t say we’re getting ready for the ‘cookieless future’ as much as that we’re taking this opportunity to future-proof our technology stack.”

A weekly comic strip from AdExchanger.com that highlights the digital advertising ecosystem…

It’s not hard to imagine the applications of AI-generated art for media and marketing, including spitting out multiple variations of creative quickly, cheaply and easily. But AI art is also sparking a lot of very tricky questions, such as: What is “real” art, and can robots create it?

Meta has many pots on the boil right now, and for good reason. The advertising industry is bubbling like a pan of oil. Meta has announced major new initiatives to support the metaverse (natch), AI, brand safety and suitability controls and third-party verification for the feed, automated ad products, business messaging, privacy-enhancing technologies, creator tools […]

The term “machine learning” seems to have a magical effect as a sales buzzword. Couple that with the term “data science,” and lots of companies think they have a winning formula for attracting new clients. But there is a need for best practices in data science and for companies to invest in and fully support talent that can apply those principles effectively, writes Jasmine Jia, associate director of data science at Blockthrough. 

To make the most of AI, advertisers must diversify data analytics teams to bring varied perspectives and talents to data collection and decision-making, writes Ashley Tsai, head of analytics at mSix&Partners.