From models to impact: Operationalizing AI/ML with data governance and self-service BI

Operationalizing AI/ML goes far beyond building models—it’s about embedding intelligent systems into real business workflows. But without strong data governance, trustworthy inputs, and accessible tools, even the best models fail to deliver value. This talk will explore how organizations can successfully move from experimentation to production, while empowering teams through data democratization and self-service BI. We’ll examine the role of data governance in enabling scale, how machine learning is augmenting analytics, and how cross-functional collaboration unlocks AI’s true business value.