ÜBER DIESE EPISODE

Englisch
Vereinigte Staaten

TRANSKRIPT 🔗

VERGANGENE FOLGEN SUCHEN

Vorhandene Folgen von Decoding AI for Marketing durchsuchen.

WEITERE EPISODEN IN DIESEM PODCAST

Shelly Palmer, professor in residence at Syracuse and expert in all things AI, returns to the show to offer up what trends he saw at CES, and where the marketing industry is going. He explains how fast AI is changing every day, what marketers need to be doing to keep up, and why the technology is s…
Sid Sudhakaran, Head of Data Strategy & Engineering for North America at Kantar, explains the benefits of the company’s ambitious AI assistant: KAiA. He explains how it democratizes data, when chatbots work for marketers (and when they don’t), and the real customer pain points they are tackling…
Michael Walrath, Chairman and CEO of Yext, says today’s AI is fundamentally rewriting the rules of search, discovery, and brand visibility. Drawing on his extensive ad tech experience at DoubleClick, Yahoo, Moat, and now Yext, Walrath explains why AI-powered search is so much more powerful than tra…
Jeff Lunsford, CEO of Tealium, says that as enterprises rush to deploy agentic AI, batch processing and siloed systems won’t cut it: AI strategy lives or dies on the quality — and speed — of your data. In this episode, we explore what a true real-time data layer looks like, why most companies are u…
Konrad Feldman, co-founder and CEO of Quantcast, explains the shift from rule-based “expert systems” to goal-driven, autonomous AI, the evolution of DSPs, the hidden limits of “AI-washed” platforms, and why measurement—not targeting—is the biggest bottleneck holding marketing back. Drawing on three…
Rechtliche Hinweise: Der auf dieser Seite eingebettete Podcast und das Bildmaterial stammen von Greg Stuart, Rex Briggs, das Eigentum seines Eigentümers ist und nicht mit Listen Notes, Inc. verbunden ist oder von diesen unterstützt wird.