What if the biggest obstacle to AI-driven ROI isn’t the AI itself, but everything you’re feeding it?
Agility requires not just the speed to adopt new technologies like AI, but the clarity to recognize when foundational elements, like your data strategy, must be fixed first to unlock true potential.
Today, we’re going to talk about the intense pressure on revenue and marketing leaders to demonstrate ROI from AI. We’ll explore the counterintuitive idea that simply chasing ‘better AI’ is a distraction, and that the real gains come from addressing the foundational data gaps that plague most organizations.
To help me discuss this topic, I’d like to welcome, Ann Davis, Chief Revenue Officer at Crunchbase.
About Ann Davis
Ann Davis is the Chief Revenue Officer at Crunchbase, where she leads global sales strategy and drives adoption of the company’s AI-powered predictive intelligence solution. With more than 30 years of experience scaling enterprise sales teams at high-growth SaaS companies, Ann brings deep expertise in data analytics, customer engagement, and revenue growth. She joined Crunchbase from Google Cloud, where she led sales for data analytics solutions—including BigQuery and Vertex—across multiple U.S. regions. Prior to that, she was Vice President of Sales at Looker, playing a key role in expanding its enterprise business ahead of its acquisition by Google. At Crunchbase, Ann is focused on helping customers unlock the power of AI-driven market insights to anticipate shifts and act faster.
Ann Davis on LinkedIn: https://www.linkedin.com/in/anndavis3/
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Crunchbase: https://www.crunchbase.com
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