Open AccessDealing Crisis Management using AI
Author(s) -
Yew Kee Wong
Publication year - 2021
Publication title -
international journal of computer science, engineering and applications
Language(s) - English
Resource type - Journals
eISSN - 2231-0088
pISSN - 2230-9616
DOI - 10.5121/ijcsea.2021.11502
Subject(s) - marketing buzz , big data , variety (cybernetics) , crisis management , computer science , business intelligence , data science , order (exchange) , value (mathematics) , business , knowledge management , artificial intelligence , world wide web , data mining , management , economics , finance , machine learning
Artificial intelligence has been a buzz word that is impacting every industry in the world. With the rise of such advanced technology, there will be always a question regarding its impact on our social life, environment and economy thus impacting all efforts exerted towards sustainable development. In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studied and provided in order to handle and extract value and knowledge from these datasets for different industries and business operations. Numerous use cases have shown that AI can ensure an effective supply of information to citizens, users and customers in times of crisis. This paper aims to analyse some of the different methods and scenario which can be applied to AI and big data, as well as the opportunities provided by the application in various business operations and crisis management domains.