The Data Storytellers Podcast · 2026-06-11 · 1h 24m
In this episode of The Data Storytellers Podcast, we speak with Dejan Mitkovski, a data and technology leader whose career has spanned Microsoft, Amazon, Google, FanDuel, and BetMGM. Dejan reflects on the last 25 years of digital transformation, from the early days of relational databases and BI tools to the rise of big data, data science, machine learning, and AI. We explore how data leadership has evolved from reporting to prediction, why legacy organizations struggle to adopt new technologies, and how leaders can prove value through small, practical tests. Dejan also discusses the difference between traditional machine learning and AI, the importance of data quality and governance, and why curiosity, discomfort, and people leadership remain central to building successful data organizations.
Semantic Leverage | Albert Mangahas (Roo)63 / 100
Why Most AI Use Cases Miss the Point | Taylor Black (Microsoft)
What "Data-Driven" Actually Means | Anthony Jackel (Ferrara)
AI Optimism vs. Evidence in Late 2025 | Ylan Kazi (Blue Cross Blue Shield North Dakota)
The Hard Truths of Enterprise AI Adoption | Jodi Blomberg (Cox Automotive)