AI Democratization Part 3: Decreasing Sample Size & Type II Statistical Error

Overall Job Match and Job Fit scores become more predictive of performance. That brings great value turning HR into a profit center.

Referring to a US Department of Labor document and a research publication, Chris at Kunze Analytics explains in this third video why AI-Optimization software is a game-changer. When building Assessment Performance Models and Success Patterns with supervised Machine Learning, sample size can be decreased as well as type II statistical error. Smaller sized companies reap the benefits of using Assessments in the pre-Hire screening process and in employee development. Overall Job Match and Job Fit scores become more predictive of performance. That brings great value turning HR into a profit center.

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