4 articles found
As 85% of AI models fail in production due to unique technical challenges, specialized AI product management emerges as a critical discipline for navigating model drift, ethical considerations, and complex stakeholder ecosystems.
While intellectual humility may help humans learn from mistakes, the history of innovation suggests that overconfidence drives breakthrough progress and that AI's decisiveness could accelerate human achievement.
While leadership behaviors may help with pilot programs, the companies winning the AI race are those with superior technical infrastructure, data quality, and engineering talent, not better managers.
While consultants promote AI transformation as insurance's future, the industry's foundation rests on human trust, local expertise, and emotional intelligence that no algorithm can replicate when people face their darkest moments.