Industrial Training Recommendation Systems

Abstract

AbstractTalent management in oil and gas is considered as one of the crucial challenges. The solution requires understanding talents based on training and career development. In this paper, Artificial Intelligence (AI) based solution is conceptualized and implemented using an ensemble machine learning algorithm that provides a recommendation system derived from industrial training history. The developed AI solution combines machine learning algorithms, knowledge from subject matter expert and user profile analysis suggestions. The proposed solution utilizes different machine learning mechanisms such as recommender engines, Natural Language Processing (NLP) and distance measures. The mechanism also gives an end-to- end solution including data ingestion, data processing, model building and visualization with a data consumption layer. Compared to the models available in the academia and industry, we combine the machine learning, NLP text analytics and domain expertise to provide accurate recommendation. The recommendation has unique ensembled models for each industrial area within the corporate.