Meta: How AI is transforming advertising with Derya Matras

Meta: How AI is transforming advertising with Derya Matras

Author: Kantar & Saïd Business School, Oxford University October 1, 2025 Duration: 25:40

Advertising across the Meta portfolio is changing thanks to AI. In this edition of Future Proof, Jane Ostler, EVP, Global Solutions Marketing and Thought Leadership at Kantar, talks to Derya Matras, Vice President of EMEA Global Business Group at Meta, about how the company has been evolving its advertiser tools and how AI is giving advertisers greater control over the ways in which they can invest.

 

Derya also shares the details of her career journey, from management consulting to leading Meta's operations across Europe, the Middle East and Africa, and explains why execution is everything in tech. Meta’s approach of ‘launch first, optimise later’ makes sense as the best pathway to perfection, she says.


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How do you separate the fleeting trends from the fundamental shifts that will reshape business? Future Proof is a conversation built on that very question, born from a unique partnership between the rigorous academic world of Oxford University's Saïd Business School and the ground-level market intelligence of Kantar. This isn't about quick tips; it's about deeper understanding. Each episode sits down with a leading thinker or practitioner for an honest, nuanced exploration of the forces changing how brands connect with people. You'll hear discussions that cut through the noise, challenging popular assumptions with data and scholarly insight. We examine everything from the practical implications of new technology to evolving consumer behaviors, always with an eye on what it means for long-term strategy. The goal is to provide a clearer, more evidence-based perspective for leaders who want to make decisions that last. Tune in for a podcast that values substance over hype, offering a rare blend of intellectual depth and real-world application to help you think differently about marketing's future.
Author: Language: English Episodes: 100

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