Company A was looking to assess new AI technologies able to accurately, quickly, and systematically inventorize the skills encompassed by its workforce. The goal was to identify a technology that could create enriched profiles automatically and independently of individual input and without requiring continual maintenance.
Company A’s lack of in-house skills inventory was inhibiting its ability to quickly identify and match subject-matter experts to new strategic initiatives and business projects. Thus, it was unable to leverage a wealth of organizational knowledge in rolling out new business initiatives.
In previous skill-collecting projects, the skills of high potentials were collected and inventorized. The challenge for the HR department was in surfacing skills from individuals that were not already identified as leaders or high potentials by their managers.
As we hear from many of our global, enterprise customers, surfacing subject-matter experts and identifying niche skills and knowledge is difficult in organizations that have large and geographically-dispersed workforces.
In this project, Company A was looking to harness a new technology to help pre-propulate employee's files based on a variety of different document types. Different technologies would be applied to a subset of the employee workforce to determine
The goal was to identify a technology that could help to create a skills inventory based on numerous different document sources such as performance reviews, manager’s feedback, training certifications. Users were to be presented with the feedback and have the ability to simply confirm/decline suggested skills.
The results demonstrated that Textkernel's Skills API provided excellent results around the ability to extract skills from employee documentation. Textkernel’s technology demonstrably exceeded other offerings in areas of
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