Quality assurance in any AI initiative is an ongoing exercise. As data changes and new sources are introduced, the machine continuously adapts  and learning is constantly refined. Through continuous cleaning, normalization and feature engineering, the models continuously update their knowledge and adapt their behavior in real-time as new data become available. These incremental improvements ensure results improve with time. 
 

The core capability of WrokforceAI is its ability of its smart algorithms to handle data on IT jobroles and skills, an area  which are constantly changing and evolving. 

Jobroles come in different flavors. Using NLP, the algorithms can detect jobroles that are similar in nature and relate them to the body of skills relevant to the role. Similarly for skills.  Our smart algorithms use machine learning techniques to inter-relate the datasets to deliver not only improved results but also to handle new jobroles and skills such as those emerging from the emerging field of sustainability.

Where inconsistencies are detected, flags are raised by the algorithms and routed to our knowledgeable team of humans for further assessment.