The Adecco Group wanted to use machine learning (ML) and artificial intelligence (AI) to reduce time and speed to fill open positions and improve their hiring attraction pipeline for client talent pools.
The Adecco Group’s initial project incorporated Automated Machine Learning to reduce the time it took for recruiters to fill jobs, while also building a more appealing pipeline for prospective talent. The project leveraged three metrics to gauge success: Productivity, Accuracy, and Interpretability.
DataRobot’s best-performing model drove a 37% reduction in the number of CVs that had to be reviewed, filtering out those that were not the best match for the job, leading to a 10% productivity gain. In just three weeks, DataRobot enabled the launch of 60 projects utilizing more than 3,000 models, far faster than had been possible using conventional approaches to AI deployment in the past. They were able to build granular, industry level models whilst measuring ethical AI and bias metrics to reduce risk, and centrally monitor and manage all of these models within MLOps.