Decision Intelligence in Practice: The AI Framework Every Executive Needs
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Decision Intelligence in Practice: The AI Framework Every Executive Needs
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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.
