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Jiaxi
Zhu
Head, Analytics
Google
Jiaxi Zhu leads analytics strategy for Google’s Small and Medium Business (SMB) division, where he drives data and analytics-powered revenue optimization and go-to-market strategy across one of the world’s largest digital business ecosystems. He is passionate about transforming complex data systems into real-time business intelligence that enables strategic execution at scale. Prior to Google, Jiaxi served as a business technology consultant at McKinsey & Company and PricewaterhouseCoopers, advising Fortune 500 companies on large-scale digital transformations and enterprise data strategy. He holds an MBA from The Wharton School of the University of Pennsylvania and a B.S. in Industrial Engineering & Operations Research from the University of California, Berkeley.
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29 January 2026 13:45 - 14:15
Beyond use cases: A strategic framework for scaling AI in B2B sales
Most teams have a handful of AI “wins” in B2B sales - better emails here, smarter scoring there—but struggle to turn scattered use cases into a coherent, scalable revenue strategy. This session lays out a strategic framework RevOps can use to move from isolated AI experiments to an integrated, repeatable system that supports pipeline generation, deal execution, and expansion at scale. You’ll learn how to: - Move beyond tool-by-tool thinking to design an AI architecture that serves the entire B2B sales motion - Prioritize, sequence, and connect AI initiatives so they compound rather than fragment your data, processes, and workflows - Establish the foundations for scale - governance, measurement, and change management - so AI becomes core to how your sales org operates, not just a side project