AI & ML Strategy
Enterprise AI adoption, LLM deployment, and machine learning strategy.
3 articles
When AI agents go rogue: what CDOs must do now to maintain control
AI agents are no longer a future concept, they are making decisions inside enterprise systems today, often faster than any governance framework can track. CDOs who fail to architect control mechanisms before deployment will find themselves managing consequences, not outcomes.
Jun 23, 2026Why most AI strategies fail before they start: the CDO's structural blind spot
Most organizations invest heavily in AI tooling while systematically underinvesting in the data foundations that make those tools work. For CDOs, closing this gap is not a technical problem, it is a governance and organizational design challenge that demands a fundamentally different approach.
Jun 16, 2026Why most AI strategies fail before they start: the data foundation problem CDOs can't ignore
Organizations are pouring billions into AI and machine learning initiatives, yet Gartner estimates that 85% of AI projects never make it to production. The root cause is rarely the algorithm, it's the data strategy underneath it.