AI systems failing many global users have a data Problem, not technology – Analyst

An analyst asserts that global artificial intelligence systems are underperforming due to poor data quality rather than technological limitations. The report suggests that while the underlying technology is sound, the heavy reliance on flawed or insufficient datasets remains the primary obstacle for users and developers worldwide.