The Self-Funding AI Strategy: How AI Pays for AI

Enterprise AI programs face a persistent funding question: how do you demonstrate enough value from AI to justify—and finance—the next wave of investment? In “The Self-Funding AI Strategy: How AI Pays for AI,” Girish Bhat of Revefi and Louis Dimodugno of Verisk explore the connection between AI economics, enterprise data leadership, and sustainable AI investment. As organizations move from pilots to production, the economics of AI become increasingly important. Scaling enterprise AI requires leaders to think beyond individual use cases and consider how demonstrated business value can support continued investment in AI capabilities. This session brings together perspectives from an AI technology provider and a global data leader to examine the idea of a self-funding AI strategy. For executives responsible for data, AI, and technology portfolios, the discussion connects AI ROI and value realization with the broader challenge of building sustainable enterprise AI programs. KEY TAKEAWAYS • Explore the concept of a self-funding AI strategy and how AI-generated value can support continued AI investment • Examine the relationship between enterprise AI adoption, business value, and AI economics • Consider why demonstrating measurable value becomes increasingly important as organizations scale AI • Understand the role of data leadership in connecting AI initiatives with enterprise priorities • Gain perspectives on creating a more sustainable path from AI experimentation to production SPEAKERS 📢 Girish Bhat, SVP | Revefi 📢 Louis Dimodugno, Global Chief Data Officer | Verisk ABOUT AI ENTERPRISE CONFERENCE 2026 Hosted by Data Science Connect on September 1, 2026 in New York City, AI Enterprise Conference 2026 brings together Fortune 500 decision-makers, enterprise data and AI leaders, and leading technology providers to explore how organizations can build, scale, govern, and operationalize AI. The conference theme, “AI for Enterprise: From Pilots to Production,” focuses on the systems, data foundations, governance, operating models, and economics required to move enterprise AI beyond experimentation and into scalable, production-ready capabilities tied to real business outcomes. Watch the full session to explore how enterprise leaders can think about AI ROI, sustainable investment, and the concept of AI paying for AI. Subscribe to the Data Science Connect YouTube channel, explore more AI Enterprise Conference 2026 sessions, and discover additional insights from enterprise data and AI leaders.