An Artificial Intelligence Technologies Approach for Talent Retention

The high turnover of employees in technology companies linked to innovation is a known problem of this sector, resulting in challenges for team management and knowledge management. Models based on Machine Learning are presented in the literature to predict turnover risk. Working on talent retention is a possible way to deal with turnover. We carried out an investigation due to (i) remote work being an increasingly present reality after the pandemic and (ii) no proposed model for predicting turnover considers remote work an attribute. As a result, of the 78 valid responses obtained, 46% of respondents changed or would change jobs depending on the work model (on-site, hybrid, or remote), and 35% might change. It is possible to observe that the work model is an important attribute to consider in a turnover model. Based on these findings, we propose an approach to deal with the turnover problem in technology companies linked to innovation using Artificial Intelligence technologies. ...