Session
Purpose-Built AI: The Next Evolution of People Analytics
Organizational context, relevant benchmarks and expert judgment for genuinely useful workforce intelligence
PAWorld26 San Francisco · 23–24 September 2026 · San Francisco
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About this session
Through practical examples, explore how purpose-built AI can help People Analytics teams move beyond dashboards and point-in-time analysis to identify patterns across data, investigate emerging workforce challenges, and translate insights into action. Gain a framework for evaluating where AI can meaningfully augment People Analytics, where human judgment still matters, and what to look for as you build your AI strategy.
Learning outcomes
- Evaluate where AI can meaningfully augment People Analytics today.
- Recognize where human judgment still matters in workforce decision-making.
- Identify what to look for as you build your AI strategy.
This session will explore
- Why general-purpose AI can generate answers without useful workforce intelligence.
- Organizational context, connected workforce data, relevant benchmarks and expert judgment.
- Practical examples of identifying patterns and investigating emerging workforce challenges.
- Moving beyond dashboards and point-in-time analysis to translate insights into action.
Context
Applying general-purpose AI to workforce data has real limitations. Without organizational context, relevant benchmarks, and an understanding of how different people signals relate to one another, AI can generate an answer without necessarily generating useful intelligence.
Speakers and contributors
Carissa RomeroPresenterCo-Founder and Managing DirectorParadigm