hen N, Christensen L, Gallagher K, et al. (2016) Global economic impacts associated with artificial intelligence. Analysis Group. https://www.analysisgroup.com/uploadedfiles/content/insights/publishing/ag_full_report_economic_impact_of_ai.pdf
Cioffi R, Travaglioni M, Piscitelli G, et al. (2020) Artificial intelligence and machine learning applications in smart production: Progress, trends, and directions. Sustainability 12(2): 492.
Dirican C (2015) The impacts of robotics, artificial intelligence on business and economics. Procedia-Social and Behavioral Sciences 195: 564–573.
Geisel A (2018) The current and future impact of artificial intelligence on business. International Journal of Scientific & Technology Research 7(5): 116–122.
Haenlein M and Kaplan A (2019) A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review 61(4): 5–14.
Khan AI and Al-Habsi S (2019) Machine learning in computer vision. Procedia Computer Science 167: 1444–1451.
Khurana D, Koli A, Khatter K, et al. (2017) Natural language processing: State of the art, current trends, and challenges. Computation and Language 1(1): 1–25.
Kumar KN, Balaramachandran PR (2018) Robotic process automation – A study of the impact on customer experience in the retail banking industry. Journal of Internet Banking and Commerce 23(3): 1–27.
Moreno A and Redondo T (2016) Text analytics: The convergence of big data and artificial intelligence. IJIMAI 3(6): 57–64.
Shabbir J and Anwer (2018) Artificial intelligence and its role in near future. Journal of Latex Class Files 14(8):1–11.
Singh Y, Bhatia PK and Sangwan O (2007) A review of studies on machine learning techniques. International Journal of Computer Science and Security 1(1): 70–84.
Soni N, Sharma EK, Singh N, et al. (2019) Impact of artificial intelligence on businesses: From research, innovation, market deployment to future shifts in business models. General Economics 1(1): 1–38.
Wiley V and Lucas T (2018) Computer vision and image processing: a paper review. International Journal of Artificial Intelligence Research 2(1): 29–36.
Woschank M, Rauch E and Zsifkovits H (2020) A review of further directions for artificial intelligence, machine learning, and deep learning in smart logistics. Sustainability 12(9): 3760. .