Artificial Intelligence and Neuroscience in the Analysis of Ecuadorian Business Management

This multidisciplinary research project aims to address the competitiveness challenges faced by Ecuadorian companies through the integration of Artificial Intelligence (AI) and neuroscience in business management. The primary goal is to enhance the efficiency and effectiveness of business processes by optimizing financial and marketing decision-making. The proposed solution involves using AI, including Machine Learning algorithms such as Support Vector Machines, Artificial Neural Networks, Random Forest, Decision Trees, and Gaussian Naive Bayes, to analyze historical financial data (2018-2022) extracted from the Superintendency of Companies and forecast revenues and financial results. Concurrently, neuroscience will be employed, utilizing neurofeedback devices on students from the Salesian Polytechnic University, to predict consumer behavior in response to sensory stimuli related to marketing (4Ps). Expected outcomes include a better understanding and forecasting of financial and consumption variables, culminating in the creation of a blog to disseminate practical recommendations to society. This approach seeks to provide innovative tools to increase the competitiveness and sustainability of Ecuadorian companies in a globalized environment.<br/><br/><b>Goal</b>: <br/>To analyze Ecuadorian business management variables through the application of artificial intelligence models and the use of neuroscience to forecast the behavior of Ecuadorian companies and consumers.<br/><br/><b>Research lines</b>: <br/>Social responsibility, redistribution of wealth and quality of life