Enterprise AI investment hit $8 billion this week, but McKinsey finds 72% of organizations aren't ready for the changes AI requires. What Data & AI leaders should do to close the readiness gap.

Winning companies do not implement AI—they redesign how the business runs. Discover why the AI operating model—embedded workflows, AI as infrastructure, continuous strategy loops, and execution systems—turns potential into durable competitive advantage.

Model access has commoditized. Betting a five-year architecture on one vendor is now a leadership risk. Discover how the best Data & AI executives are running a real portfolio — across models, use cases, risk tiers, and horizons — and what the 70/20/10 discipline looks like in practice.

Anthropic's $35B infrastructure deal and new McKinsey agent-scaling data reveal a shift already underway: enterprise AI investment is moving from models to infrastructure and governance readiness.

The August 2, 2026 EU AI Act enforcement deadline permanently expanded the Chief AI Officer role. Discover the new CAIO mandate — running innovation and enforcement side by side — and the operating model, hiring bar, and board reporting that this new seat now requires.

On August 2, 2026, the EU AI Act's high-risk enforcement deadline arrived, backed by fines of up to €35M or 7% of global turnover. Discover why AI governance is no longer a policy conversation, why agent action layers are in scope, and the seven-pillar compliance checklist every data & AI leader now needs.