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MSP Hiring: Using AI to Predict Employee Turnover — Tyler Hochman, FORE Enterprise
Tyler Hochman, CEO of FORE Enterprise, discusses their AI workforce analytics platform that predicts employee turnover before employees themselves are aware of their intentions to leave. The technology utilizes a combination of external and internal data sources to create predictive models on both aggregate and individual levels. External data sources include census information, demographics, and economic trends, while internal data encompasses employee performance metrics like utilization and schedule adherence.
Hochman highlights the importance of data organization and structuring for…
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