5 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.
Rapid AI experimentation without rigid strategy can unlock unexpected value breakthroughs that careful planning often misses, especially when companies embrace emergent strategy principles.
Far from being a flaw, the ability to connect beyond intimate circles drives innovation, social justice, and human progress in ways that small-group dynamics never could.
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.