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Stephanie
Lapow
Senior, Director, Global Integrated Marketing Strategy - Customer Base
Workday
A "marketing renaissance woman" with over 20 years of experience, Stephanie originally imagined a life of writing novels or digging up ruins. Instead, she discovered that an insatiable curiosity for what makes people tick is the secret ingredient for impactful marketing. Stephanie’s career has spanned product marketing, growth marketing, global marketing strategy, and customer marketing but has always included an interesting challenge to tackle. She’s happiest when digging into data to surface patterns and engaging in creative problem-solving across the business. Whether navigating the shift to AI or building a customer retention marketing function from scratch, she focuses on connecting silos and driving growth through strategic storytelling. She’s passionate about building and coaching teams and mentoring fellow marketers. Outside of work, you can find Stephanie in a studio learning aerial silks and ballet, in the kitchen testing new recipes, or exploring new cities and her own Northern CA backyard with her family.
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09 September 2026 13:30 - 14:15
Panel - Real talk: What's actually working in AI marketing and what isn't
Every conference has the sessions where speakers show you the polished version — the campaigns that worked, the tools that delivered, the transformation that went smoothly. This isn't one of those sessions. This panel is built around the conversations that usually only happen in the bar afterwards - where the wins are real, the failures are honest and nobody is trying to sell you anything. Four senior marketers. No vendor sponsorship. No slide decks. Just an unfiltered conversation about where AI is genuinely moving the needle in their marketing functions, where it has consistently disappointed, where the hype hasn't matched the reality and what they'd do differently if they were starting their AI transformation today. What you'll learn: - Where AI is delivering measurable, repeatable value in real marketing functions right now — and the specific use cases worth prioritising - Where it's falling short - the workflows that looked promising, the tools that underdelivered and the assumptions that didn't survive contact with reality - What the panellists know now that they wish they'd known at the start and what that means for how you approach your own AI investment