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Ítem Los distritos creativos del Área Metropolitana del Valle de Aburrá : perspectivas sobre su tipología, la gobernanza y la innovación de los territorios(Universidad EAFIT, 2022) Maldonado Restrepo, Sebastián; Naranjo Alzate, Ana MaríaCultural and creative districts have gained popularity among public policies for territorial development and strengthening of the cultural economy and creative industries around the world. Colombia, as a result of its policy to promote the Orange Economy, has tried not to lag and has created projects such as the Orange Development Areas (AND for its acronym in Spanish), to promote the creation of territories where artists, creators, entrepreneurs, or anyone who is part or is considered part of the creative class are grouped (Florida, 2004). As an introduction, the text will make a general review of the concepts that have been behind the creation of cultural districts, such as cultural and creative industries or clusters. Then, two international cases of implementation of districts will be referenced to, subsequently, enter into the realities of three creative districts of the Metropolitan Area of the Aburrá Valley that has inspired this work, to understand the motivators and contexts of their creation and the dynamics of the actors in their relationship with the environment and the objectives of the grouping. The final purpose will be to contribute to the weak discussion in Colombia on this phenomenon, so that shortly it will serve as a validation or reference tool for other academic works or project managers in the context of an unexpected boom of creative territories throughout the country, under the figure of ADN.Ítem Métodos de machine learning con algoritmos de clúster no supervisados, una alternativa de segmentación de las pymes colombianas para plantear estrategias de acuerdo con sus condiciones económicas(Universidad EAFIT, 2022) Ramírez Mendoza, Durley Yalile; Orozco Echeverry, César AugustoThis research created a new grouping alternative using machine learning tools such as K-means and agglomerative clustering models, based on financial information from 2016 to 2019 of 10,001 Colombian SMEs. From these models twelve clusters originated that have 98.44% of the evaluated data and it was determined that the model that presented the best clustering result was the agglomerative model which generates the following main groups: a first group with negative margins and a debt exceeding 61%, a second group starting with a range between -10% to 40% of its margins and a debt below 60%, and a third group with positive margins and a debt between 11 and 80%. Finally, these groups create strategies according to the economic conditions of each of them.Ítem Modelo de seguimiento de riesgo de crédito para el cliente independiente de una entidad financiera de Valle del Cauca(Universidad EAFIT, 2020) García Montealegre, Nathalia; Granja García, Vanessa Nathaly; Ospina Mejía, Jaime AlbertoThe purpose of this research is to propose a credit risk monitoring model for the independent profile client portfolio of a financial entity in Colombia´s department of Valle del Cauca, which provides information related to relevant variables associated to the analysis and management of the credit risk of this segment. The development of the monitoring model allows the grouping of the clients according to their characteristics and classifying them by their level of risk, predicting a possible default with more certainty and taking preventive actions against this fact, allowing in turn to comply with the risk policies defined in the Credit Risk Management System (Sistema de administración de riesgo de crédito, SARC), regulated in Colombia by the Superintendencia Financiera and based on the reference framework of the Basel Accords. The methodology used is that of data mining techniques such as clustering; the evaluation is carried out using decision trees; at the end the recommendations are presented.Ítem Plan exportador clúster de interiorismo(Universidad EAFIT, 2021) Baldovino Alcendra, Álvaro Danilo; Henao López, Juan Sebastián; Zuñiga Raigoza, Jaime Alberto