Decision Intelligence in Practice: The AI Framework Every Executive Needs
Failed to add items
Add to basket failed.
Add to Wish List failed.
Remove from Wish List failed.
Follow podcast failed
Unfollow podcast failed
Decision Intelligence in Practice: The AI Framework Every Executive Needs
-
Narrated by:
-
By:
About this listen
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.