Prerequisite: None
This session will include a moderated Q&A featuring questions from the live audience.
As organizations accelerate AI adoption, many struggle to move beyond experimentation due to complex data environments, unclear governance, and limited organizational readiness. Although AI tools continue to advance, foundational challenges often prevent sustained value. In this session, Leticia Naqvi of Apple will present a real-world case study examining how a large, global enterprise strengthened its data foundation to better support strategic decision-making.
Naqvi will discuss Apple’s journey consolidating operational and people data into a centralized reporting and analytics environment. She will emphasize securing executive visibility and designing an architecture that supports future AI enablement. Attendees will learn how standardized definitions, shared metrics, and governance frameworks reduced ambiguity and improved trust in analytics. These foundational elements shifted reporting from static outputs to scalable decision support.
The presentation will introduce practical frameworks for assessing readiness across data maturity, culture, and operating models. These insights reinforce that AI success depends on people and processes as much as technology.
Attendees will gain guidance on prioritizing foundational investments that deliver near-term business value while positioning the organization for scalable AI integration.