Mitigate AI Business Risk: A Guide for Senior Leaders and Executives
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 42m | 110 MB
Instructor: Andreas Welsch
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 42m | 110 MB
Instructor: Andreas Welsch
Business leaders are under pressure from their boards and competitors to innovate and boost outcomes using AI. But this can quickly lead to starting AI projects without clearly defined, measurable objectives or exit criteria. In this course, instructor Andreas Welsch outlines the risks of sunk costs and missed opportunities, with practical insights on overcoming complex business challenges related to AI adoption. Learn how to implement proven risk mitigation strategies for starting, measuring, and managing AI projects. Along the way, get tips and techniques to optimize resourcing for projects that are more likely to succeed.
Learning objectives
- Recognize the importance of aligning AI projects with business goals to improve success rates.
- Identify opportunities where AI can add measurable value to organizational goals.
- Evaluate AI projects for strategic alignment and feasibility, ensuring investments are resource efficient.
- Prioritize AI projects by establishing criteria based on potential business impact.
- Implement a risk mitigation framework to monitor AI project progress, set KPIs, and ensure accountability for desired outcomes.