As a pioneer in marketing mix modeling and analytics, I’ll detail multiple case studies showcasing AI innovations that delivered major ROI, cost savings, and revenue growth for leading brands. Attendees will learn an insider’s perspective on data infrastructure, governance, and culture shifts required to make AI not just a vanity metric, but a true driver of measurable expansion and value - whether in personalization, campaign management or elsewhere.
Drawing on my experience creating cross-channel identity resolution capabilities now employed globally, I’ll showcase how AI empowers the future of hyper-personalized marketing. From predictive lead and customer analytics to individualized messaging, I’ll outline how customization, without compromise on reach and resources, is within every marketer's grasp with the right foundation - including major course corrections even long-established organizations can make to delight audiences while achieving business KPIs.
As the leader behind initiatives like POSSIBLE, the Marketing Accountability Standards Board and the AI Leadership Coalition advancing transformation, I will detail multiple innovations soon to disrupt marketing powered by machine learning - from content creation to media mix modeling and more. I’ll equip teams with an actionable roadmap for the data, talent, leadership buy-in and responsible AI practices required to continually stay on technology's cutting edge while driving ethics, transparency and quantifiable growth.
With my vast experience and current role architecting the future with MMA Global, I’ll candidly tackle the most common struggles companies face implementing AI - whether data gaps affecting model accuracy, inadequate talent development limiting use cases or securing leadership commitment beyond the CMO. I’ll outline the critical checkpoints and milestones cross-functional marketing teams should build into their AI roadmaps, illuminating pitfalls before they derail success.
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