Delivering real business value from AI requires a synchronized approach across four key dimensions: infrastructure, data, code, and models. Each area involves different stakeholders with distinct priorities, creating friction when moving from lab experiments to live production. This session explores how to align these dimensions consistently throughout the AI lifecycle—ensuring smoother transitions from exploration to deployment.

• Aligning infrastructure, data, code, and models across the AI lifecycle for scalability.
• Breaking down silos by fostering collaboration between technical and business stakeholders.
• Implementing continuous validation to ensure AI delivers consistent business impact.