Context and data governance key to AI success, not just models

A new analysis argues that successful AI implementation depends more on context, trusted data, and governance than on the sophistication of AI models. Companies often overemphasize model performance while neglecting data quality and organizational readiness. The piece urges leaders to prioritize data infrastructure and ethical frameworks to realize AI's potential.