Chapters
0:00 – Intro
0:46 – People Analytics – Shifting Paradigms
3:16 – Current Paradigm – Manual Workflows
16:16 – Current Paradigm – Diagnostic Metrics
21:10 – Predictive Insights @ People Operations
28:12 – How are ML models created? A Talent Perspective
35:21 – Primary Talent Stakeholders
38:56 – Natural Language Processing – A Talent Perspective
46:05 – Large Language Models – An Overview
54:40 – Organization Network Analytics
56:47 – Transitioning to Process Evaluation
1:02:21 – Evaluating ML Models
1:05:37 – Sample Evaluation: Candidate Authentication
1:11:10 – Bias and Privacy
1:20:57 – Conclusion
