Un enfoque de toma de decisiones multicriterio aplicado a la estrategia de transformación digital de las organizaciones por medio de la inteligencia artificial responsable en la nube de las organizaciones. Estudio de caso en el sector de saludA multi-criteria decision-making approach applied to Responsible Artificial Intelligence Digital Cloud Transformation Strategy of Organisations. Case study in the health sector

  1. FERNANDES MORENO, CAIO
Dirigida por:
  1. Ramón Alberto Carrasco González Director

Universidad de defensa: Universidad Complutense de Madrid

Fecha de defensa: 08 de febrero de 2023

Tribunal:
  1. Lorenzo Escot Mangas Presidente
  2. Alicia Pérez Alonso Secretaria
  3. Gema Fernández-Avilés Calderón Vocal
  4. Diogo Filipe Rocha Ferreira Vocal
  5. Francisco Chiclana Parrilla Vocal

Tipo: Tesis

Resumen

Organisations are committed to understanding both the needs of their customers and the capabilities and plans of their competitors and partners, through the processes of acquiring and evaluating market information in a systematic and anticipatory manner. On the other hand, most organisations in the last few years have defined that one of their main strategic objectives for the next few years is to become a truly data-driven organisation in the current Big Data and Artificial Intelligence (AI) context (Moreno et al., 2019). They are willing to invest heavily in Data and AI Strategy and build enterprise data and AI platforms that will enable this Market-Oriented vision (Moreno et al., 2019). In this thesis, it is presented a Multicriteria Decision Making (MCDM) model (Saaty, 1988), an AI Digital Cloud Transformation Strategy and a cloud conceptual architecture to help AI leaders and organisations with their Responsible AI journey, capable of helping global organisations to move from the use of data from descriptive to prescriptive and leveraging existing cloud services to deliver true Market-Oriented in a much shorter time (compared with traditional approaches)...