

How to Build a Skills-Based Organization Using AI
12 snips Mar 18, 2025
In this discussion, Ying Li, Head of People Analytics at PepsiCo, uses her expertise in AI and data analytics to explain how organizations can thrive by becoming skills-based. She shares her journey from engineering to people analytics and highlights methods for accurately assessing employee skills and understanding skills scarcity. Ying dives into the importance of continuous skill enhancement and the role of curiosity in reskilling. She also discusses how AI can create personalized learning pathways, helping to align individual growth with organizational goals.
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Non-Traditional Career Path
- Ying Li's career path to Head of People Analytics wasn't traditional.
- She transitioned from electrical engineering and data science at IBM into HR.
Focus on Skill Depth
- Understand employee skill levels beyond basic proficiency.
- This helps with reskilling, upskilling, and job matching.
Use Data to Infer Skill Depth
- Tap into employees' digital footprints (internal networks, resumes, learning platforms).
- Build a machine learning model to classify skill levels.