Datos, algoritmos y evolución
📈 The evolution of revenue management in the AI era requires understanding the algorithms behind RMS (Revenue Management Systems) recommendations. Teams must include data scientists and analysts, fluent in concepts like linear and logistic regression, decision trees, random forests, gradient boosting, and K-Nearest Neighbors (K-NN) to build robust predictive models and make strategic decisions based on data-driven stories shown on dashboards. Data science specialization is now essential, not optional, for strong strategies in modern revenue management.
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