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Ivan
Galea
Chief Product Officer
Databook
Ivan J. Galea is a Chief Technology and Product executive and seasoned operator who builds and scales data-, product-, and AI-driven organizations to deliver measurable business outcomes. He currently serves as Chief Product & Technology Officer at Databook, where he leads product, engineering, data, and AI strategy for a growth-stage enterprise platform transforming how global organizations plan and execute strategic sales. Across public companies and high-growth startups, Ivan has partnered with CEOs, COOs, CFOs, and Boards to translate strategy into disciplined execution—aligning product, engineering, and go-to-market teams around clear operating metrics, customer impact, and long-term enterprise value. He has scaled organizations from early formation to global teams of 500+, built platform capabilities supporting IPO readiness and post-IPO operating models, and driven step-function improvements in growth efficiency, retention, and developer productivity. His background spans B2B and B2C SaaS, enterprise platforms, fintech, and AI-native products. Combining deep technical credibility—including a PhD from Yale University—with hands-on operating experience, Ivan brings strategic judgment and execution rigor to executive roles where technology is core to the business model.
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11 June 2025 14:30 - 15:00
The last moat: Why the AI feature isn't your competitive advantage, and what actually is
Two years of enterprise AI deployments revealed something unexpected: the companies moving fastest on AI weren't pulling ahead. They were converging, building the same features, facing the same adoption challenges, running the same playbooks as their competitors. AI didn't create differentiation. It compressed it. Drawing on real agentic deployments across Fortune 50 companies and high-growth teams, this keynote challenges the assumptions most product roadmaps are still built on, and makes the case that durable advantage in an AI-native world comes not from what you build, but from the judgment you apply when building it. The AI feature is not your moat. This talk is about what is.