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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
The data is obtained from www.cryptydatadownload.com.
- 2.
The other figures are reported in the Appendix.
References
Bin, M., Cheung, P., Crisostomi, E., Ferrearo, P., Lhachemi, H., Murray-Smith, R., Myant, C., Parsini, T., Shorten, R., Stein, S., Stone, L. (2020). On fast multi-shot Covid-19 interventions for post lock-down mitigation. https://arxiv.org/pdf/2003.09930.
Boles, K.S., Kannan, K., Gill, J., et al. (2017). Digital-to-biological converter for on-demand production of biologics. Nature Biotechnology, 35, 672–675.
Bostrom, N. (2003). Astronomical waste: The opportunity cost of delayed technological development. Utilitas, 15, 308–314.
Christiano, P. (2016). Prosaic AI alignment. https://ai-alignment.com/prosaic-acontrol-b959644d79c2.
Fong, S. J., Li, G., Dey, N., Crespo, R. G., & Herrera-Viedma, E. (2020). Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction. Applied Soft Computing, 106282.
Fong, S. J., Li, G., Dey, N., Crespo, R. G., & Herrera-Viedma, E. (2020). Finding an accurate early forecasting model from small dataset: A case of 2019-ncov novel coronavirus outbreak. arXiv preprint arXiv:2003.10776.
Goertzel, B. (2012). Should humanity build a global ai nanny to delay the singularity until it’s better understood? Journal of Consciousness Studies, 19(1–2), 96–111.
Goodell, J. W. (2020). COVID-19 and finance (2020) Agendas for future research. Finance Research Letters https://doi.org/10.1016/j.frl.2020.101512.
Grace, K., Salvatier, J., Dafoe, A., et al. (2017). When will AI exceed human performance? Evidence from AI experts. arXiv:1705.08807 [cs.AI].
Hines N (2016) Neural implants could let hackers hijack your brain. In: Inverse. https://www.inverse.com/article/19148-neural-implants-could-let-hackers-hijack-your-brain.
Kumar, P. R., & Ravi, V. (2007). Predictions in banks and firms via statistical and intelligent techniques—A review. European Journal of Operational Research, 180(1), 1–28.
Lalive, R. (2007). Unemployment benefits, unemployment duration, and postunemployment jobs: A regression discontinuity approach. The American Economic Review, 97(2), 108–112.
Lewis, Maureen. (2001). The economics of epidemics. Georgetown Journal of International Affairs, 2, 25.
Madhav, N., Oppenheim, B., Gallivan, M., Mulembakani, P., Rubin, E., & Wolfe, N. (2017). Pandemics: Risks, impacts, and mitigation. In: Disease control priorities: Improving health and reducing poverty, 3rd edn. The International Bank for Reconstruction and Development/The World Bank.
Manyika, J., Chui, M., Bughin, J., Dobbs, R., Bisson, P., & Marrs, A. (2013). Disruptive technologies: Advances that will transform life, business, and the global economy (Vol. 180). San Francisco, CA: McKinsey Global Institute.
Murray, S. H., & Keevil, A. A. (August 21, 2014). System and method for interactive virtual banking, Patent, No: US 20140236740 A1.
Öztürk, B., & Mrkaic, M. (2014). SMEs’ access to finance in the Euro area: What helps or hampers? IMF Working Paper, WP/14/78. International Monetary Fund, European Department.
Popper, N. (29April 2015). Can Bitcoin conquer Argentina? New York Times Magazine. http://www.nytimes.com/2015/05/03/magazine/howbitcoin-is-disrupting-argentinas-economy.html?smid=fbnytimes&smtyp=cur&bicmp=AD&bicmlukp=WT.mc_id&bicmst=1409232722000&bicmet=1419773522000&_r=0.
Porter, M. E. (1985) Competitive advantage: Creating and sustaining superior performance. Free Press, New York, NY.
Roubini, N. (2014, December 08). Rise of the machines: Downfall of the Economy. http://www.roubinisedge.com/nouriel-unplugged/rise-of-themachines-downfall-of-the-economy.
Russell, S. (2017). 3 principles for creating safer AI. https://www.youtube.com/watch?v=EBK-a94IFHY.
Santosh, K. C. (2020). AI-driven tools for coronavirus outbreak: Need of active learning and cross-population train/test models on multitudinal/multimodal data. Journal of Medical Systems, 44, 93. https://doi.org/10.1007/s10916-020-01562-1.
Shakirov, V. (2016). Review of state-of-the-arts in artificial intelligence with application to AI safety problem. ArXiv Prepr ArXiv160504232.
Sotala, K., & Yampolskiy, R. (2014). Responses to catastrophic AGI risk: A survey. Physica Scripta, 90, 018001.
Stiglitz, J. E. (2014, November). Unemployment and innovation. Working Paper 20670 (Vol. 1050, p. 3). National Bureau of Economic Research. http://www.nber.org/papers/w20670.
Turchin, A., Green, B., Denkenberger, D. (2017). Multiple simultaneous pandemics as most dangerous global catastrophic risk connected with bioweapons and synthetic biology. Rev Health Secur.
Yudkowsky, E. (2003). HUMOR: Friendly AI critical failure table. http://www.sl4.org/archive/0310/7163.html.
Yudkowsky, E. (2008). Artificial intelligence as a positive and negative factor in global risk, in global catastrophic risks. Oxford: Oxford University Press.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendix: Actual and Predicted Values from ANN Models
Appendix: Actual and Predicted Values from ANN Models
Rights and permissions
Copyright information
© 2020 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Nandy, M., Lodh, S. (2020). Post-COVID-19 and Business Analytics. In: Joshi, A., Dey, N., Santosh, K. (eds) Intelligent Systems and Methods to Combat Covid-19. SpringerBriefs in Applied Sciences and Technology(). Springer, Singapore. https://doi.org/10.1007/978-981-15-6572-4_10
Download citation
DOI: https://doi.org/10.1007/978-981-15-6572-4_10
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-6571-7
Online ISBN: 978-981-15-6572-4
eBook Packages: Computer ScienceComputer Science (R0)