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Where enterprise AI breaks down in practice: Why AI systems often sound confident but still lead teams to double-check results.
Why access to data isn’t the same as understanding data: And why this gap continues to slow down decision-making and automation.
The hidden business cost of inconsistent data logic: How confusion around metrics and definitions impacts trust, speed, and operations.
What needs to change for AI to operate reliably in real organizations: The discipline, structure, and context AI needs to truly understand how a business works.
SVP of Data, SurveyMonkey
Meenal Iyer is a data and analytics leader at SurveyMonkey focused on turning complex data into trusted insights for product and business teams. She brings an operator’s perspective on maintaining clear definitions, alignment, and trust in data across growing organizations.
Founder, Mode
Benn Stancil is the Founder of Mode and an highly sought after and influential voice in modern analytics. He writes and speaks widely about how organizations actually use data, helping leaders understand where data strategies succeed — and where they quietly break down.
Founder & CEO, Delivery Layer
Solomon Kahn is a data and AI builder focused on helping organizations apply modern data systems to real-world business problems. He works closely with companies navigating the challenge of turning fragmented data environments into reliable analytics and scalable AI capabilities.
Staff Data Scientist, Meta
Mark Eltsefon is a technology leader focused on building scalable data and AI infrastructure for modern enterprise organizations. His work centers on designing systems that make data reliable, accessible, and usable across teams, products, and AI-driven applications.
CEO & Co-Founder, Solid
Yoni Leitersdorf is the CEO and co-founder of Solid, where he is building infrastructure that helps AI understand and operate on data. Previously, he founded Indeni, a network automation company acquired by BlueCat, and has spent his career building systems for complex technology.