Boards increasingly demand proof that AI is working, yet few organizations can measure it well. This IBM course teaches you to define, measure, and communicate the business value of AI. Decide which initiatives deserve to scale. Apply financial and operational ROI models built for AI. Distinguish hard ROI, soft ROI, and strategic option value, including the emerging idea of “return on autonomy.” Design a measurement architecture that links AI activity to business outcomes.
Build the board-ready KPI view most organizations still lack, so you can show impact while others merely report activity. Practice scaling as an intention, choosing which pilots to expand, sustain, or retire. Spot the conditions that quietly kill a promising pilot. Finally, build a continuous-improvement loop and a light operating rhythm that keep value compounding after launch. Methods are taught tool-agnostic, with IBM and other tools demonstrated by industry experts.
