Data Science, Microsoft and You

In this session we'll explore how Microsoft uses data science and machine learning across it's entire business, from Windows and Office, to Skype and XBox. We'll look at how companies across the world use Microsoft technology for empowering their businesses in many different industries. And we'll look at data science technologies you can use yourselves, such as Azure Machine Learning and Power BI. Finally we'll discuss job opportunities for data scientists and tips on how you can be successful!

El Outsourcing en la dinámica de sistemas hacia mercados extranjeros

Este trabajo recopila literatura académica relevante sobre estrategias de entrada y metodologías para la toma de decisión sobre la contratación de servicios de Outsourcing para el caso de empresas que planean expandirse hacia mercados extranjeros. La manera en que una empresa planifica su entrada a un mercado extranjero, y realiza la consideración y evaluación de información relevante y el diseño de la estrategia, determina el éxito o no de la misma. De otro lado, las metodologías consideradas se concentran en el nivel estratégico de la pirámide organizacional. Se parte de métodos simples para llegar a aquellos basados en la Teoría de Decisión Multicriterio, tanto individuales como híbridos. Finalmente, se presenta la Dinámica de Sistemas como herramienta valiosa en el proceso, por cuanto puede combinarse con métodos multicriterio.

Asymmetries in Business Cycles

Esta disertación busca estudiar los mecanismos de transmisión que vinculan el comportamiento de agentes y firmas con las asimetrías presentes en los ciclos económicos. Para lograr esto, se construyeron tres modelos DSGE. El en primer capítulo, el supuesto de función cuadrática simétrica de ajuste de la inversión fue removido, y el modelo canónico RBC fue reformulado suponiendo que des-invertir es más costoso que invertir una unidad de capital físico. En el segundo capítulo, la contribución más importante de esta disertación es presentada: la construcción de una función de utilidad general que anida aversión a la pérdida, aversión al riesgo y formación de hábitos, por medio de una función de transición suave. La razón para hacerlo así es el hecho de que los individuos son aversos a la pérdidad en recesiones, y son aversos al riesgo en auges. En el tercer capítulo, las asimetrías en los ciclos económicos son analizadas junto con ajuste asimétrico en precios y salarios en un contexto neokeynesiano, con el fin de encontrar una explicación teórica de la bien documentada asimetría presente en la Curva de Phillips.

Option pricing in market models driven by telegraph processes with jumps

Esta tesis está dividida en dos partes: en la primera parte se presentan y estudian los procesos telegráficos, los procesos de Poisson con compensador telegráfico y los procesos telegráficos con saltos. El estudio presentado en esta primera parte incluye el cálculo de las distribuciones de cada proceso, las medias y varianzas, así como las funciones generadoras de momentos entre otras propiedades. Utilizando estas propiedades en la segunda parte se estudian los modelos de valoración de opciones basados en procesos telegráficos con saltos. En esta parte se da una descripción de cómo calcular las medidas neutrales al riesgo, se encuentra la condición de no arbitraje en este tipo de modelos y por último se calcula el precio de las opciones Europeas de compra y venta.

La implementación del e-business como estrategia para el mejoramiento y fortalecimiento de las exportaciones de una empresa colombiana, en el marco de los servicios de intermediación laboral de la industria de construcción de ductos

Éste trabajo de grado tiene una importancia personal muy especial relacionada precisamente con esa búsqueda por entender el rol del individuo en la sociedad y de la cultura en los procesos de construcción humana. ¿Como se entienden ahora los individuos de dos culturas tan diferentes como la de un colombiano, la de un nativo de Kazakistán, la de un inglés, la de un saudi? ¿Y cómo pueden estar permanentemente unidos por una red que pareciese que hablara el mismo lenguaje? Para contestar estas preguntas, que son de otra índole y corresponderían a un ejercicio intelectual de otra disciplina, es importante empezar analizando -con una visión desde la óptica de los negocios internacionales-, cómo funciona una estrategia de e-business desde Colombia hacia el mundo. En este trabajo de grado se intenta dar cuenta de la importancia del uso de esta herramienta en la forma del B2B en un negocio asociado con la exportación de servicios colombianos y latinoamericanos, como un mecanismo para el mejoramiento y fortalecimiento del negocio internacional.

Descripción de la estructura organizacional del área de Sostenibilidad en Alpina S.A.

El objetivo de este artículo es describir la operación del área de Sostenibilidad de Alpina S.A. en Colombia, como parte de un proyecto de investigación que permita entender el funcionamiento de dicha área. Los métodos de recolección de información utilizados fueron la entrevista semiestructurada y la consulta de fuentes secundarias. Para lograr el objetivo, se definieron indicadores agrupados en cuatro variables así: Evolución del área, Plataforma estratégica, División del trabajo y Coordinación del trabajo. La información recolectada se codificó y clasificó de acuerdo a las variables de análisis. Los resultados exponen que el área de Sostenibilidad actúa de manera transversal en la organización y está integrada a la estrategia del negocio, siendo parte fundamental en las decisiones y los proyectos de las distintas áreas de la compañía.

Leadership and performance in multicultural business environments a qualitative study in German-Colombian teams

Multicultural leadership is a topic a great interest in nowadays globalized work environment. Colombia emerges as an attractive marketplace with appealing business opportunities, especially for German enterprises. After presenting Colombia’s current political, social and economic situation, the thesis elaborates the complex subject of cultural differences while focusing on the peculiarities of German and Colombian national cultures. The resulting implications for a team’s collaboration and leader effectiveness are theoretically supported with reference to the landmark studies of Hofstede and GLOBE. By utilizing semi-structured interview techniques, a qualitative research enriches the previous findings and gives an all-encompassing insight in German-Colombian teamwork. The investigation identifies distinctive behavioral patterns and relations, which imply challenges and factors of success for multicultural team leaders. Finally, a categorical analysis examines the influence of cultural traits on team performance and evaluates the effectiveness of the applied leadership style.

Aplicação de Data Mining à Segurança do Trabalho Ferroviário

Embora o objectivo de redução de acidentes laborais seja frequentemente invocado para justificar uma aplicação preventiva de testes de álcool e drogas no trabalho, há poucas evidências estatisticamente relevantes das pressupostas causalidade e correlação negativa entre a sujeição aos testes e os posteriores acidentes. Os dados de testes e dos acidentes ocorridos com os colaboradores de uma transportadora ferroviária portuguesa de âmbito nacional, durante anos recentes, começam agora a ser explorados, em busca de relações entre estas e outras variáveis biográficas. - Although the aim of reducing occupational accidents is frequently cited to justify preventive drug and alcohol testing at work, there is little statistically significant evidence of the assumed causality and negative correlation between exposure to testing and subsequent accidents. Data mining of tests and accidents involving employees of a Portuguese national wide railway transportation company, during recent years, is now beginning in search of relations between these and other biographical variables.

Razões e dificuldades para se implantar setor de recursos humanos nas médias empresas de material de construção em Macapá

A dissertação tem a finalidade de identificar as razões e dificuldades para implantar departamento de Recursos Humanos em cinco empresas de porte médio comercializadoras de material de construção localizadas nos bairros da cidade de Macapá, capital do Estado do Amapá, Brasil. Para tanto, foi realizado um Levantamento (Survey) com empresários do ramo e representante do Sindicato de Materiais de Construção do Amapá (SINDMAT). Para a coleta de dados, participaram da pesquisa por meio de preenchimento de questionários semi-estruturados. Os dados obtidos confirmam que as razões e dificuldades para implantar esse departamento se devem ao alto custo para ser mantido, falta de experiencia em RH, desconhecimento de técnicas (know how) e acham desnecessário conhecer suas ferramentas de gestão. Os dados expuseram a existencia de obstáculos principalmente nos pontos fortes e pontos fracos do negócio para incentivar a qualidade do serviço e o aumento na venda dos produtos. Concluiu-se que para despertar nos empresários a necessidade de reflexão sobre a criação do Setor de RH, com a finalidade de aprimorar o negócio e, consequentemente, colaborar para uma aprendizagem consciente dos seus colaboradores. A falta de conhecimento e de assessoria dos empresário deste setor está retardando a implantação de um setor de RH. Com essa estrutura montada as empresas tem condições ao seu modo, no seu tempo implantarem uma área RH, para cuidar da gestão de pessoas, e com isso, crescerem e melhorarem e desenvolverem-se em todos os níveis. Com essas definições e a formatação correta dos RH na empresa, podemos resolver a maioria dos problemas inerentes a organização.

Determining nugget: sill ratios of standardized variograms from aerial photographs to krige sparse soil data

Maps of kriged soil properties for precision agriculture are often based on a variogram estimated from too few data because the costs of sampling and analysis are often prohibitive. If the variogram has been computed by the usual method of moments, it is likely to be unstable when there are fewer than 100 data. The scale of variation in soil properties should be investigated prior to sampling by computing a variogram from ancillary data, such as an aerial photograph of the bare soil. If the sampling interval suggested by this is large in relation to the size of the field there will be too few data to estimate a reliable variogram for kriging. Standardized variograms from aerial photographs can be used with standardized soil data that are sparse, provided the data are spatially structured and the nugget:sill ratio is similar to that of a reliable variogram of the property. The problem remains of how to set this ratio in the absence of an accurate variogram. Several methods of estimating the nugget:sill ratio for selected soil properties are proposed and evaluated. Standardized variograms with nugget:sill ratios set by these methods are more similar to those computed from intensive soil data than are variograms computed from sparse soil data. The results of cross-validation and mapping show that the standardized variograms provide more accurate estimates, and preserve the main patterns of variation better than those computed from sparse data.

Data assurance in opaque computations

The chess endgame is increasingly being seen through the lens of, and therefore effectively defined by, a data ‘model’ of itself. It is vital that such models are clearly faithful to the reality they purport to represent. This paper examines that issue and systems engineering responses to it, using the chess endgame as the exemplar scenario. A structured survey has been carried out of the intrinsic challenges and complexity of creating endgame data by reviewing the past pattern of errors during work in progress, surfacing in publications and occurring after the data was generated. Specific measures are proposed to counter observed classes of error-risk, including a preliminary survey of techniques for using state-of-the-art verification tools to generate EGTs that are correct by construction. The approach may be applied generically beyond the game domain.

Dynamic load balancing in parallel KD-tree k-means

One among the most influential and popular data mining methods is the k-Means algorithm for cluster analysis. Techniques for improving the efficiency of k-Means have been largely explored in two main directions. The amount of computation can be significantly reduced by adopting geometrical constraints and an efficient data structure, notably a multidimensional binary search tree (KD-Tree). These techniques allow to reduce the number of distance computations the algorithm performs at each iteration. A second direction is parallel processing, where data and computation loads are distributed over many processing nodes. However, little work has been done to provide a parallel formulation of the efficient sequential techniques based on KD-Trees. Such approaches are expected to have an irregular distribution of computation load and can suffer from load imbalance. This issue has so far limited the adoption of these efficient k-Means variants in parallel computing environments. In this work, we provide a parallel formulation of the KD-Tree based k-Means algorithm for distributed memory systems and address its load balancing issue. Three solutions have been developed and tested. Two approaches are based on a static partitioning of the data set and a third solution incorporates a dynamic load balancing policy.

High performance subgraph mining in molecular compounds

Structured data represented in the form of graphs arises in several fields of the science and the growing amount of available data makes distributed graph mining techniques particularly relevant. In this paper, we present a distributed approach to the frequent subgraph mining problem to discover interesting patterns in molecular compounds. The problem is characterized by a highly irregular search tree, whereby no reliable workload prediction is available. We describe the three main aspects of the proposed distributed algorithm, namely a dynamic partitioning of the search space, a distribution process based on a peer-to-peer communication framework, and a novel receiver-initiated, load balancing algorithm. The effectiveness of the distributed method has been evaluated on the well-known National Cancer Institute’s HIV-screening dataset, where the approach attains close-to linear speedup in a network of workstations.

The role of the sponsor in business change

Successful business change programmes require a holistic approach covering processes, people, information and technology. Yet many current IT-related initiatives rely heavily on a systems development lifecycle and too early use of structured project management methodologies. This is exacerbated by limited or unclear definitions of what constitutes success. The IT-enabled business change lifecycle has been developed as an antidote to this narrow view. It stresses the importance of alignment in fuzzy situations with a continued focus on benefits management throughout the lifecycle. This paper reports on business change in large enterprises describing the results of an exemplar case study using the IT-enabled change lifecycle. There are different challenges at each stage of the lifecycle with implications for the skills needed. The paper considers these stages from the perspective of the sponsor, a role which is often misunderstood, and assesses what is required for successful stewardship and leadership of change. It concludes with practical recommendations for sharing learning on success and failure throughout the enterprise.

Rapid radiation in spiny lobsters (Palinurus spp) as revealed by classic and ABC methods using mtDNA and microsatellite data

Background: Molecular tools may help to uncover closely related and still diverging species from a wide variety of taxa and provide insight into the mechanisms, pace and geography of marine speciation. There is a certain controversy on the phylogeography and speciation modes of species-groups with an Eastern Atlantic-Western Indian Ocean distribution, with previous studies suggesting that older events (Miocene) and/or more recent (Pleistocene) oceanographic processes could have influenced the phylogeny of marine taxa. The spiny lobster genus Palinurus allows for testing among speciation hypotheses, since it has a particular distribution with two groups of three species each in the Northeastern Atlantic (P. elephas, P. mauritanicus and P. charlestoni) and Southeastern Atlantic and Southwestern Indian Oceans (P. gilchristi, P. delagoae and P. barbarae). In the present study, we obtain a more complete understanding of the phylogenetic relationships among these species through a combined dataset with both nuclear and mitochondrial markers, by testing alternative hypotheses on both the mutation rate and tree topology under the recently developed approximate Bayesian computation (ABC) methods. Results: Our analyses support a North-to-South speciation pattern in Palinurus with all the South-African species forming a monophyletic clade nested within the Northern Hemisphere species. Coalescent-based ABC methods allowed us to reject the previously proposed hypothesis of a Middle Miocene speciation event related with the closure of the Tethyan Seaway. Instead, divergence times obtained for Palinurus species using the combined mtDNA-microsatellite dataset and standard mutation rates for mtDNA agree with known glaciation-related processes occurring during the last 2 my. Conclusion: The Palinurus speciation pattern is a typical example of a series of rapid speciation events occurring within a group, with very short branches separating different species. Our results support the hypothesis that recent climate change-related oceanographic processes have influenced the phylogeny of marine taxa, with most Palinurus species originating during the last two million years. The present study highlights the value of new coalescent-based statistical methods such as ABC for testing different speciation hypotheses using molecular data.