Building Decision Intelligence at Scale | AI Leadership for Regulated Industries

In this episode of the Orlando Insights Podcast, I sit down with Natalia Kuklova, a senior data science and AI leader with over a decade of experience building enterprise analytics, machine learning, and decision systems inside highly regulated industries. Natalia has led large-scale initiatives across risk, product analytics, experimentation, and enterprise AI strategy. She works directly with executive teams to move organizations beyond dashboards and models — and toward measurable, durable business outcomes. We explore: • What Decision Intelligence actually means in practice • Why most AI strategies stall at the “model” stage • How leaders can connect data science to real business decisions • The practical framework of Automate, Augment, Inform • What regulated enterprises must consider when scaling AI • How governance and innovation can coexist Natalia is also a contributor to the Forbes Technology Council, where she writes about AI strategy, decision intelligence, and the future of work. If you’re a data leader, executive, AI strategist, or builder looking to connect analytics to real decisions — this episode is for you.