Skill Inference: White Paper with Data Sources
A Teardown of 7 Popular Data Sources used for AI-Driven Skill Inference
AI-driven Skill Inference is a new method to extract employee skills from text, using natural language processing.
Valuable information about employee skills is available in every company. However, the systems where the skills data is stored are not built to understand skills. What's more, they don't talk to each other.
Within People Analytics, skill inference is used to solve this issue:
The HR core system might hold the information on the different roles you had in the company over time. The L&D department could have an overview of the courses you took. Your manager most likely knows your professional aspirations and goals.
All of these records and documents hold information about workforce skills.
- You're in HR now but worked in marketing before? You'll have more marketing-related skills than your colleague who came from finance.
- You've taken 3 courses in cybersecurity? Your skill level will be higher than if you hadn't taken them.
- You want to grow into a data scientist role? You'll have at least some statistical analysis skills already.
These are obvious places where you would expect skills information to be found.
There is a much greater source of workforce skill information available in every company though. It can be mined using skill inference.
This untapped source of skills intelligence is your daily work. The places where you display your skills every day of the week:
- the projects you're involved in
- the memos you write
- the meetings you attend
- the tickets you work on
- ...
Getting skill information out of structured employee records is hard enough. Unlocking your digital footprint to reveal skills is an even tougher nut to crack.
Skill inference does just that.
It reads and analyses the input from both structured and unstructured information and builds detailed skill profiles.
Not just for one employee, but for an entire workforce at once.
Curious to see how TechWolf does it? How accurate our estimations are? Which data sources are the best and worst predictors for someone's skillset?
A global company partnered with TechWolf to find out. As part of a large scale Skills Intelligence program, in-depth research was conducted on 7 data sources.
Read The State of Skill Inference white paper and discover which data sources turned out to be the goldmines for skills information, and which ones underperformed.
Direct access to the white paper: https://bit.ly/3rRW6gL
