This is my recent article exploring how data quality will become the primary differentiator between organizations that thrive and those that struggle in the era

This is my recent article exploring how data quality will become the primary differentiator between organizations that thrive and those that struggle in the era of AI agents. I discuss why companies with the cleanest, most reliable data will win - not necessarily those with the most advanced AI models. The article includes: Real-world examples of AI failures (like the $1 Chevy Tahoe incident) Assessment of how data governance must evolve Practical checklist for organizations to evaluate their AI readiness Analysis of changing roles for data professionals I'd appreciate your thoughts and experiences with these challenges.