New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques

2021 ◽  
Author(s):  
Emel Güler ◽  
Buket Karatop

It can be said that the reflection of the philosophy of Transhumanism on education creates a threat to the survival of human civilization or, on the contrary, focuses on technologies that try to create opportunities to overcome basic human limitations. MOOCs are still a major tool in the ongoing development of opportunities to teach the whole community. With MOOCs, interactive student-oriented large audiences can be reached instantly. The MOOCs, which offer great opportunities, should be made intelligent by the interaction of the curricula and the learner in order to achieve more effective results. As MOOCs are student-friendly, it is important that, when preparing training materials, the curriculum is formulated strategically. It is important that stakeholders' views are involved in decision-making using artificial intelligence techniques because learning is too important to be left to coincidence.


2020 ◽  
pp. 860-877
Author(s):  
José Luis Fernández-Martínez ◽  
Maite López-Sánchez ◽  
Juan Antonio Rodríguez Aguilar ◽  
Dionisio Sánchez Rubio ◽  
Berenice Zambrano Nemegyei

In the context of a citizen lab, this article describes how a vanguard of activists, designers, scholars and participation practitioners were involved in a participatory prototyping process. CoGovern was designed as an online participation tool whose focus is to incorporate citizen preferences in local policy making. It is aimed at supporting informed and transparent participatory processes while reducing the ability of sponsoring authorities to “cherry-pick” policy proposals and avoid providing explanations. This article proposes a decision-making process that incorporates artificial intelligence techniques into a collective decision process and whose result is mainly based on standard optimization techniques rather than vote-counting.


2021 ◽  
Vol 29 (3) ◽  
pp. 1-25
Author(s):  
H. Y. Lam ◽  
Y. P. Tsang ◽  
C. H. Wu ◽  
C. Y. Chan

Recently, global e-commerce businesses have been blooming due to the convenience they offer, their product range, and the individualized products and services they offer. To maintain an entire ecosystem, effective platform-vendor relationships should be considered, through which e-commerce platforms can provide collaborative packages to vendors. E-vendor relationship management (eVRM) should then be developed to identify, attract, retain, and develop existing and new vendors so that groups of loyal vendors can be managed. However, eVRM in e-commerce is an area that has received less attention. This paper proposes an adaptive e-vendor relationship-management system (AVRMS) to provide decision-making support for the formulation of vendor management strategies. The contribution of this study is that it addresses the missing link of platform-vendor relationship management in global e-commerce environments, while integrating data-driven approaches and artificial intelligence techniques to generate a new synergy for the facilitation of eVRM.


Author(s):  
Juveriya Afreen

Abstract-- With increase in complexity of data, security, it is difficult for the individuals to prevent the offence. Thus, by using any automation or software it’s not possible by only using huge fixed algorithms to overcome this. Thus, we need to look for something which is robust and feasible enough. Hence AI plays an epitome role to defense such violations. In this paper we basically look how human reasoning along with AI can be applied to uplift cyber security.


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