International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Analysis of Market Obligation Using AI: A Survey

Author : N Pravalika ¹ Sapnil Dutta ² Rinkesh ³ Nitin Prakash Deshpande ⁴ Md Wasim Akhtar ⁵ Dr. Anusha Preetham ⁶

Date of Publication :13th October 2022

Abstract: In the future, artificial intelligence is expected to have a significant influence on marketing practises and customer behavior. The authors offer a comprehensive method for evaluating AI's efficiency, which incorporates intelligence levels, task types, and whether AI is implanted in a device and is based on both existing and new research. considerable exposure to reality Prior study has mostly concentrated on a subset of these qualities; however, more research is needed. All three are integrated into this study in a prescribed way. The authors then create a study agenda that looks at how marketing methods and customers are changing now, as well as how they will change in the future. However, it raises important policy challenges such as confidentiality, bias, and morality. Finally, writers believe that machine learning will become more popular. It will be more efficient (rather than replacing) human supervisors whether it supports people.

Reference :

1. Adami, C. (2015). Artificial intelligence: Robots with instincts. Nature, 521(7553), 426–427.
2. Agrawal, A., Gans, J. S., & Goldfarb, A. (2018). Prediction machines: The simple economics of artificial intelligence. Harvard Business School Press.
3. Boyd, R., & Holton, R. J. (2018). Technology, innovation, employment, and power: Does robotics and artificial intelligence really mean socialtransformation? Journal of Sociology, 54(3), 331–345.
4. Biswas, A., Bhowmick, S., Guha, A., & Grewal, D. (2013). Consumer evaluations of sale prices: Role of the subtraction principle. Journal of Marketing, 77(4), 49–66.
5. Castelo, N., & Ward, A. (2016). Political affiliation moderates attitudes toward artificial intelligence. In P. Moreau & S. Puntoni (Eds.), NA - advances in consumer research (pp. 723– 723). Duluth, MN: Association for Consumer Research.
6. Davenport, T. H. (2018). The AI Advantage: How to put the artificial intelligence revolution to work. MIT Press.
7. Davenport, T. H., & Kirby, J. (2016). Just how smart are smart machines? MIT Sloan Management Review, 57(3), 21–25. [8] Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.