Post Covid-19 and business analytics

Book chapter


Nandy, M. and Lodh, S. 2020. Post Covid-19 and business analytics. in: Joshi, A., Dey, N. and Santosh, K. (ed.) Intelligent Systems and Methods to Combat Covid-19 Springer Singapore. pp. 83-91
Chapter titlePost Covid-19 and business analytics
AuthorsNandy, M. and Lodh, S.
Abstract

This paper highlights the way companies can apply artificial intelligence (AI) in the post Covid-19 period. We show that how the AI can be advantageous to develop an inclusive model and apply to the businesses of various sizes. The recommendation can be beneficial for academic researchers to identify several ways to overcome the obstacles that companies may face in post Covid-19 period. The paper also addresses few major global issues, which can assist the policy makers to consider developing a business model to bounce back the world economy after this crisis is over. Overall, this paper enhances the understanding of stakeholders of business about the importance of application of the AI in businesses in a volatile market in post Covid-19 period.

KeywordsArtificial Intelligence, Crisis, Covid-19, Artificial Neural Network, Coronavirus, Economic development
Page range83-91
Book titleIntelligent Systems and Methods to Combat Covid-19
EditorsJoshi, A., Dey, N. and Santosh, K.
PublisherSpringer Singapore
SeriesSpringerBriefs in Applied Sciences and Technology
ISBN
Paperback9789811565717
Electronic9789811565724
Publication dates
Online27 Aug 2020
Print27 Aug 2020
Publication process dates
Deposited11 May 2020
Accepted05 May 2020
Output statusPublished
Accepted author manuscript
Copyright Statement

This is an author’s accepted manuscript version of a chapter published in Intelligent Systems and Methods to Combat Covid-19. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-981-15-6572-4_10

Digital Object Identifier (DOI)https://doi.org/10.1007/978-981-15-6572-4_10
LanguageEnglish
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