Este contenido multimedia se encuentra en forma de plantilla con el objetivo de proporcionar a los alumnos antecedentes sobre el aprendizaje automático, sus tipos y ejemplos de para qué se utiliza. Es un material simple y directo que involucra texto, video, GIF y herramientas interactivas (pruebas, etc.)
El desglose de las secciones es el siguiente:
¿Qué es el machine learning?
¿Por qué ahora?
Tipos de machine learning
Consejos y trucos
El futuro de machine learning
Pruebe sus conocimientos sobre el machine learning
El tutorial está destinado a que los alumnos lo hagan antes de entrar en clase, para darles una idea del área del aprendizaje automático, sin profundizar demasiado (ese será el rol del profesor).
The main objective of this material is for students to understand both the structure of the business intelligence system and what it is used for through interactive graphs and animations. It covers the topics of Data warehouses and Online Analytical Processing (OLAP) within Business Intelligence systems.
Given the multidimensional component of OLAP systems it is a difficult concept for students to understand and these interactive graphs and animations help them to fully understand these concepts in an entertaining way. Finally students will be able to see the effect of these systems on real businesses.
This tutorial is aimed at introducing students to the main concepts of Big Data. The material includes videos interactive exercises supplementary material and elements of gamification. Students will learn about the origins of the Big Data concept its definition and characteristics the technologies used and when Big Data is suitable for business.
In addition students will have a chance at putting into practice their knowledge and to consider the latest trends surrounding this technology. All of this intertwined with elements that will keep students entertained throughout their learning. For example badges can be won along the way recognizing the knowledge acquired while helping to increase engagement with content.
This material can be used in undergraduate and graduate programs (especially MBA and other management programs) as well as in executive education courses where topics such as technology management and digital business are incorporated.
THE TRANSFORMATIVE JOURNEY OF BI / BIG DATA IN TEL … (A) SI1-161-A-I
Big data is currently very trendy. All companies are working in one way or another with this technology. Nevertheless, beyond the hype, how does a great consolidated company, a market leader, revolutionize data and artificial intelligence? How do you extract the maximum potential of data to achieve a real impact on your clients and the business?
In a context of containment within the sector and decreasing revenues, Telefónica España, a telecommunications incumbent and leader in its market, decides to consolidate its leadership by opting to transform its business.
In this case study, Telefónica España faces the challenge of designing and building a model with structural and transversal data serving the whole company. As it does so it must attend to its daily business needs, assess the technological possibilities of big data and manage an important cultural change.
Part 1 sketches the profound changes in Spain’s telecommunications sector in the last several years en route to a position of international prominence. It then details the 2012 launch of Movistar Fusión and how Telefónica embraced big data, consolidated into one data warehouse, wrought internal cultural change and maintained strong operational performance all at once.
IE Publishing usa cookies para mejorar su experiencia en nuestro sitio. Si sigue navegando en nuestro sitio permite el uso de cookies en su dispositivo tal y como describimos en nuestra Política de Cookies. Aceptar