Level: Beginner to Intermediate
Prerequisite: None
Sam Wong
Senior Director of Data, Analytics, and AI
Mark Anthony Group
Discover how to turn data expertise into high-impact AI solutions.
This immersive, activity-based course guides data professionals through the process of designing and validating enterprise-ready AI use cases using proven design thinking techniques and real-world simulation.
Explore how to uncover meaningful business challenges, assess feasibility through a technical and data-driven lens, and shape AI concepts that are ready for incubation and execution. Working collaboratively in a fast-paced, interactive environment, you'll experience what it takes to move from idea to actionable prototype—equipping you with the mindset and methods to lead innovation from the ground up.
Perfect for those ready to build AI solutions that matter, not just models that work.
You Will Learn
- How to uncover high-value use cases through structured ideation
- Evaluate opportunities through technical and data lenses
- Prioritize initiatives based on business impact and feasibility
- Apply templates to shape, document, and communicate ideas
- Build the foundation for a scalable AI incubation model
Geared To
- Data and AI practice and program leaders
- Data and AI product owners
- Technical data and AI leaders
- AI/ML engineers
Prerequisites
Bring your curiosity, an innovative mindset, and a willingness to think like an inventor. No code required—just imagination, a sharpie, and your favorite "what if…?" questions.