AI is raising the stakes for every enterprise. A strong data strategy turns AI from a planning exercise into an execution discipline – aligning data, analytics, and AI investments to business priorities and creating compounding value through growth, innovation, and efficiency. In this session, we’ll examine the strategic choices leaders must make to turn AI ambition into compounding business value.
Join IIA Expert Ryan Sousa, as he explores:
- The evolving role of data strategy in powering AI adoption – and why success now requires strategy to function as an execution discipline, not just a planning exercise
- How to frame the journey by aligning leaders on the current state, future vision, and the practical game plan for getting there
- How governance, ownership, and operating model shape the ability to scale AI responsibly, effectively, and with enterprise trust
- Why platform foundations, delivery discipline, and the ability to test, learn, and scale determine whether AI produces isolated wins or compounding business value
- How to get started and demonstrate value early, incrementally, and often through partnerships, adaptable delivery, and focused execution