In an ideal workplace scenario, every wants to hire the ‘right’ candidate. With success in today’s market hinged on having the right talent on board, organizations cannot afford to hire average or low performers.
Getting the right talent on-board, and also in a cost and time-effective manner is a task that is getting more complex with steady rise in the number of applications for each job and the sophisticated nature of the competencies required for various job roles.
A typical recruitment process today post sourcing revolves around shortlisting a candidate through his/her resume, interaction with a couple of line managers and pre-hiring checks. These interactions, however, do not guarantee any quantifiable indicators of the skills and competencies of a candidate or his/her ability to do a specific job.
Without effective benchmarks or parameters to assess the many applicants entering workforce every year, identifying the right talent can never get easy. or AI (read Machine learning) is now increasingly helping automate and simplify the recruitment process by helping organisations save cost, time and resources that would have been otherwise spent in a typical recruitment process. So, can a machine automatically evaluate coding skills, English skills, sports and soft skills?
Yes, they can. AI driven assessment mechanisms can create significant value by offering objective and accurate predictions about a candidate’s suitability, job performance, personality and more.