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Cvent与Capital Group分享将AI实验转化为会展实际成果的实操框架

From Experiments to Results: Making AI Work for Your Events

AI摘要

Cvent高级总监Stephanie Sweetland与Capital集团副总裁Richard Stoia在11月10日的实践中提出了一套贯穿会展全生命周期的AI应用框架。该框架强调优先确定高摩擦场景的用例,并在引入技术前重新设计工作流程、准备数据并定义展示价值的KPI。此方法旨在帮助团队从分散的AI实验转向纪律化的实际应用,覆盖规划、推广、参会者支持及会后评估等环节。

推荐理由

提供从分散实验转向系统化AI应用的框架,涵盖用例优先级、工作流重设计、数据准备及KPI定义等关键环节。

正文 · 原文

Nov 10, 2026

AI adoption doesn't start with a big transformation. It starts with the work that creates the most friction. In this practical session, hear how two teams are turning AI experiments into real results. Stephanie Sweetland, Senior Director of Marketing Systems at Cvent, shares how Cvent's marketing and events teams moved from scattered experiments to a disciplined approach. That means prioritizing use cases, redesigning workflows before adding technology, preparing data, and defining KPIs that demonstrate value. Richard Stoia, AVP, Event Technology Manager at Capital Group, brings the experiential event marketing perspective. He leads operations for his team's events and shares how they decide where AI fits. You'll leave with a framework you can use across the event lifecycle, from planning and promotion to attendee support and post-event measurement.

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