New AI-Powered Productivity Score Predictor Allows Enterprise Leaders to Rally Teams and Departments Where it Matters Most
enaible, a leading provider of AI-powered productivity solutions, unveiled a productivity prediction feature that empowers enterprise leaders to drive focus and positive action from their teams based on a forecast of future performance.
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.@enaibleinc launches breakthrough capability for predicting workforce productivity
This new feature is built upon enaible’s AI Platform, which makes productivity visible through the world’s first comprehensive, normalized productivity score. Using an organization’s existing system data, enaible quantifies productivity at the aggregate and team level through a multi-dimensional calculation of Capacity Utilization, Consistency and Quality Impact.
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The new Score Predictor extends enaible’s core capability through a Deep Learning Neural Network that takes historical data about how employees across an organization are performing in order to predict department level productivity scores for the coming week.
This Deep Neural Network learns nonlinear associations between different employees. For example, it can identify how a certain department’s quality impact score on Tuesday impacts the adherence score for other departments on Wednesday, if such a relationship exists. By identifying priority improvement areas, enaible gives corporate leaders the insights they need to intervene early where a potential drop in productivity may occur, therefore enabling organization-wide productivity growth.
enaible was founded in 2018 to give corporate leaders something they sorely lacked – a standardized means for measuring productivity. Two years later, a global pandemic that no one could have forecasted, and the widespread remote work and overall economic uncertainty it created, has elevated the company’s mission and purpose. With a platform already built for the express purpose of measuring and improving productivity, enaible has helped leading organizations through this challenging time while providing a foundation for further innovation – such as its new productivity score predictor.
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