Automation of Competency & Training Management using Machine Learning Models

With the emerging intelligent technology and larger talent gaps training and development are the need of the hour. Organizations use competencies to remain adaptable and competitive in their respective fields. In this paper, we propose a technique to manage competency across a business unit to keep up with the want of the customers and ever-changing technology. The solution is powered by Artificial Intelligence and E-learning. We propose a technique to customize a learning roadmap for an individual by using a machine learning-based hybrid recommendation system. By using the technique managers can identify and optimize the skills required to deliver on an organization’s business strategy. The last section of the paper discusses a technique to auto-rank the algorithms used within a hybrid recommendation system based accuracy of predictions that help reduce the training time of the machine learning model itself. The solution indirectly boosts innovation, job satisfaction, and morale among employees resulting in higher levels of engagement, thus enabling a better productive workforce.