5 research outputs found
Prospecting the future with AI
If we were able to foresee the future, we could be prepared to reduce the impact of bad situations as well as getting the most of profiting periods. Our world is a dynamic system that evolves as time goes by. The number of variables that can influence in future situations outnumbers our capacity of prediction at a first glance. This article will show an alternative way to foresee potential future scenarios based on human expertsâ opinion, what can be considered as a knowledge modeling tool
The Silver Lining Methodology
The way in which Strategic planning is designed
is different depending on the organization. For that reason, no
standard procedures can be given to develop Strategic planning.
However, the scenarios analysis method is used in any field or
organization. We could define a scenario as a set of variables
or events that describes a future situation. Additionally, the
continuous irruption of new technologies invites us to carry out a
revision of the old methodologies and procedures with the intention
of starting an innovation process to make them more efficient. The
challenge presented in this article consists of the use of the agents
technology within a new methodological approach to envision
future possible scenarios more quickly and more accurately than
the classical methods we currently use
Artificial Intelligence Applied to Project Success: A Literature Review
Project control and monitoring tools are based on expert judgement and parametric tools. Projects are the means by which companies implement their strategies. However project success rates are still very low. This is a worrying situation that has a great economic impact so alternative tools for project success prediction must be proposed in order to estimate project success or identify critical factors of success. Some of these tools are based on Artificial Intelligence. In this paper we will carry out a literature review of those papers that use Artificial Intelligence as a tool for project success estimation or critical success factor identification
The Application of Artificial Intelligence in Project Management Research: A Review
The field of artificial intelligence is currently experiencing relentless growth, with innumerable models emerging in the research and development phases across various fields, including science, finance, and engineering. In this work, the authors review a large number of learning techniques aimed at project management. The analysis is largely focused on hybrid systems, which present computational models of blended learning techniques. At present, these models are at a very early stage and major efforts in terms of development is required within the scientific community. In addition, we provide a classification of all the areas within project management and the learning techniques that are used in each, presenting a brief study of the different artificial intelligence techniques used today and the areas of project management in which agents are being applied. This work should serve as a starting point for researchers who wish to work in the exciting world of artificial intelligence in relation to project leadership and management
Prospecting the future with AI
If we were able to foresee the future, we could be prepared to reduce the impact of bad situations as well as getting the most of profiting periods. Our world is a dynamic system that evolves as time goes by. The number of variables that can influence in future situations outnumbers our capacity of prediction at a first glance. This article will show an alternative way to foresee potential future scenarios based on human expertsâ opinion, what can be considered as aknowledge modeling tool