This matching approach can be expanded in a number of ways.
Use internally in a large organisation. In a large internal organisation, it can be challenging to match candidates with certain projects within the organisation. For example, if a project leader needs a finance person who has specific experience.It is likely that a suitable person exists internally but the project leader may have no idea how to find them. It is possible to create an internal jobs board where employees can upload their LinkedIn profile, their CV and their interests. On a regular basis, they can look at open opportunities, but AI can make this process more proactive. Based on employee preferences, as soon as opportunities by managers are loaded in the system, AI can match that opportunity with the skills that are in the system. This saves employees the time needed to search through open positions or job databases and allows project leaders to identify and invite suitable people with the right capabilities.
Expand the data sources. A similar approach can be used to search the LinkedIn profiles subject to privacy constraints. For potential recruits who have identified themselves as looking for work, matching their LinkedIn profiles in this way to job vacancies can open up a large pool of potential applicants in a manner that would simply not be feasible in a manual search. AI can analyse users’ profiles and engagement patterns on LinkedIn to provide tailored job recommendations, and this is how LinkedIn uses AI to offer personalised job recommendations based on users’ profiles, career interests, and engagement patterns.
