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Rhealize is a start-up strategic Human Resources company. Their mission is to enable longer-term and more stable employment collaborations by identifying what both the candidate and company need to mutually succeed before a hire takes place. To deliver their services large scale, the company is developing a web platform called Ikimy (ee-key-my).
Ikimy is a recruitment automation with a menu-driven process that helps job seekers and employers explain what they require of each other so that their work expectations are met. The platform achieves this by creating a more complete accounting of the “dimensions of job and candidate” that need to line up for optimum candidate-role matches. Secondly, Ikimy reverses the standard recruitment process. In Ikimy, jobs apply to suitable candidates based on the degree of crossover between a candidate’s knowledge, skills, abilities, and other attributes (KSAOs) compared to those required by the role. This not only de-incentivizes candidates from lying about their qualifications, it also leads them to identifying what they most enjoy doing.
To perform this matching, Rhealize is developing a proprietary algorithm with a team of social and data scientists. Given the massive calculations associated with generating predictive results in such a system, the company will be utilizing machine learning – a type of Artificial Intelligence (AI). The main technical outcomes the project owners aim to achieve are more effective and faster matching results while also controlling for harmful social biases associated with current recruitment methodologies such as resume-based Applicant Tracking Systems and unstructured manual processes.
Mohammed El-Hajj;Calin Anton;Calin Anton;Mohammed El-Hajj
Rhealize
Computer science
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MacEwan University
Business Strategy Internship
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