AI has raised the bar for what qualifies as “good data.”
The conversation is no longer about how much data marketers can collect but how well that data reflects reality. In this new era, success depends on data that is accurate, fresh, consented and interoperable – principles that ensure AI models learn from accuracy.
AI tools are – for better or worse – infiltrating every step of the advertising journey, from creative and planning to execution and measurement. At the same time, some consumers are becoming increasingly skeptical as they question the authenticity and human touch of the content they encounter. “There is a lot of negative backlash against AI-generated content […]
If there’s one safe prediction heading into Cannes this year, it’s that AI will be everywhere: in panels, on yachts and splashed across every DOOH ad within a 10-kilometer radius of the Croisette. But behind the noise, something real is happening. We are witnessing a strategic shift. AI is evolving from a shiny object into a performance engine that helps marketers uncover hidden audiences and iterate faster while delivering relevance at scale.
Kepler’s new tool, Kip AIR, was created in response to the rise of AI shoppers. Now, brands need to tailor their marketing not just to humans but to AI.
Marketing has evolved dramatically – from one-size-fits-all tactics to today’s hyper-personalized, data-driven strategies. But now we’re reaching another inflection point. For years, marketing teams have invested in turning data into insights. Yet a persistent problem remains: The path from insight to action remains too long and fragmented.
