In this video, Chris at Kunze Analytics references thirty (30) years of research to understand the difference between status quo Assessment usefulness (validity) and Machine Learning usefulness. Next, Chris demonstrates how Machine Learning also reduces the risk of using Assessments in error.
Today, Chris at Kunze Analytics simply asks some questions every company should know.
Chris at Kunze Analytics demonstrates how AI and Machine Learning are allowing custom performance modeling work with Selection Assessments to be done at smaller and smaller companies.
Chris at Kunze Analytics makes an analogy. When Michael Lewis wrote the book "Money Ball" fifteen years ago, he gave the world a successful example of applying predictive analytics to an iconic, sports industry. Today, these same algorithms are applied to quantifying the value of Pre-Hire Assessments. Are we hitting the strike zone?
Chris at Kunze Analytics discusses why our deliverables strive to be elegant. The threefold meaning entails scientific precision, neatness, and simplicity.