Member Section: AI in Action: Practical Applications for Today's Business Leaders
Approximately 20% of AI Projects are successful, while the remaining 80% fail creating sunken cost, frustration, and missed expectations across organizations. Additionally, many people focus to how AI works for “Me” rather than organizational benefit driven by hype rather than practical application. A strategic approach to AI requires Education/Evaluation/Execution to drive to results that bring measurable ROI and strategic advantage over competitors in any market or vertical. In this session, we will focus to the steps necessary to Educate/Evaluate/Execute from a Leadership level so that AI can complement your teams and support your organizational goals. AI will not replace people directly, but people using AI will replace people who do not. Learn about the necessary steps to be in the successful 20% that includes live demos and open Q&A to explore opportunities and use cases for your unique organizations.
Learning Objectives
- Diagnose why most AI initiatives fail by identifying common organizational pitfalls (hype-driven use, “AI for me” mindsets, unclear success metrics) and the factors that differentiate the successful ~20% of projects.
- Apply a leadership-level AI framework (Educate–Evaluate–Execute) to select, prioritize, and plan AI use cases that align to organizational goals and produce measurable ROI.
- Develop an actionable AI adoption approach that outlines leadership responsibilities, team enablement, and execution steps so AI complements staff capabilities and supports strategic advantage.
Highlights
Strategic AI Leadership Framework: Educate–Evaluate–Execute
Execution for ROI: From Use Cases to ResultsField of Study: Information Technology
Advanced Prep
None
Who Should Attend
This event is for Member Section members only!
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