Job Stability Through Problem Solving with AI

In this insightful session from the Artificial Unintelligence Conference, data strategist Christian Tabb explores what it really takes to build intelligent systems that deliver business value.
With more than two decades of experience guiding global organizations through their data transformations, Tabb explains why AI success depends not on bigger models or faster pipelines, but on trusted, well-governed data ecosystems.

Key ideas explored:
• Why the biggest obstacle to AI impact is data maturity, not algorithms
• How to treat data as a living asset that evolves with business context
• The irreplaceable role of human judgment in making insights meaningful
• Moving from dashboards and metrics to decisions that drive outcomes
• How cultural and regulatory differences shape global AI adoption

This talk reframes AI from a technology problem into a data and decision-making discipline, offering practical insights for leaders aiming to close the gap between analytics and action.