Predictive Model for IT Capacity Management Based on Machine Learning

Resumen

This work presents the design of a model based on machine learning to determine the growth of IT capabilities in organizations. The model allows the IT leader to monitor, control, and delineate the technological capabilities of the evaluated organization. The model emphasizes finding the timing and proportion of technology investment within organizations. The structure of the model is based on standards, frameworks, and best practices in information security, risk management, contingency plans, and quality. The results of this research, with a quantitative focus, are validated in transportation sector organizations located in the Colombian Caribbean region. The findings identify the historical data of IT capabilities according to current regulations and the models and standards of each organization as key factors for implementing the model. Also, implementing the model has allowed participating companies to reduce operational costs by 20% by optimizing server capacity and better planning investments in technological infrastructure.