3 Key Insights on Human Input and Data in AI Marketing

Generative AI is only as good as the data it’s trained on. And in today’s privacy-centric world, the most valuable data lies within the first-party insights brands collect directly from their customers, industry executives emphasized at ADWEEK House at Cannes today.

“No matter how incredible Sora, Dall-E or Adobe Firefly is, if every single marketer is using it, it can’t possibly be an advantage,” said Alex Collmer, chief executive officer and founder of VidMob.

The panel, which included executives from Autodesk and Ulta Beauty, discussed the evolving role of human input alongside technological advancements in traditional marketing tasks and what’s next for AI in the industry.

Here are the three main takeaways.

Creative data to maximize AI

For some time now, marketers have focused on building comprehensive customer and audience data profiles instrumental across marketing activities.

According to Collmer, the next imperative for marketers is to understand the creative decisions behind ads.

“That drives all the behaviors you care about,” Collmer addressed the audience. “Media behaviors, the attention, brand, sales, carbon, impact, all of those can be quantified and aligned against the creative decisions you’ve made. That’s creative data.”

This is one of the most important assets that every marketer has to own, he said.

“If you don’t own and control your creative data, you will not be able to use AI better than others,” Collmer added.

Asking the right questions and evaluating AI

Maximal output from gen AI tools, like ChatGPT, lies in how good you’re at asking it the right questions or prompt engineering–an emerging creative skill in the industry,

Knowing what questions to ask and how to phrase those questions is going to be the next iteration of using gen AI models, according to Dara Treseder, chief marketing officer at Autodesk.

“You’re going to start to see people develop careers in ‘how I ask the right questions’,” she said.

Looking ahead, brands are also expected to emphasize real-life use cases from gen AI tools, evaluating productivity and quality of insights.

“CFOs writing those checks for the infrastructure–they’re going to come to cash those checks,” said Treseder.

More human intervention amid AI surge

Ultimately, the success of sophisticated gen AI tools hinges on creating ads that resonate with consumers.

This authenticity is seen as crucial to overcoming the barriers posed by millions of ad blockers and engaging audiences effectively, according to an industry executive speaking in the audience.

“The reality is we live in a world of ‘more is more’, and we all think about the first-party data, which [marketers] do not capture but outsource to other platforms,” the executive spoke candidly. “That perceived data modeling is rubbish.”

In a final sobering remark, the executive called for a cultural shift within companies. They emphasized the need to invest more in a brand’s first-party data requires integrating solutions into corporate cultures as effectively as technological tools are.

Failure to do so, the executive said, could lead to broader cultural deficiencies within the industry.

See all of ADWEEK’s Cannes Lions coverage here.

Originally Appeared Here

Author: Rayne Chancer