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AI mythbusters: What revenue teams get wrong about putting AI to work

Revenue teams keep hitting the same AI roadblocks — "our data isn't clean enough," "sellers won't follow recommendations," "we need an agent for everything." But are these real barriers, or just myths holding teams back?

In this session, three practitioners who've actually deployed AI across go-to-market teams break down what's real, what's not, and what actually works. Sandy Robinson (VP of RevOps at Quavo Fraud), Amanda Cole (CMO & AI Transformation Lead at Bloomreach), and Sara Kinsey (VP of Marketing & Revenue at Von) get into the messy, practical reality of putting AI to work in revenue organizations — including data structure vs. data cleanliness, why you can't tell sellers what to do, the build vs. buy debate, and who should actually own agent creation.

In this video
Amanda Cole
Amanda Cole
Chief Marketing Officer
Bloomreach
Sandy Robinson
Sandy Robinson
VP, Rvenue Operations and GTM Enblement
Quavo
Sara Kinsey
Sara Kinsey
VP of Marketing & Revenue
Von
Matt Volm
Matt Volm
CEO and Founder
RevOps Co-op

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