Significance of Artificial Intelligence and Machine Learning in Business Enterprises

Chander Diwaker; Atul Sharma

doi:10.32628/CSEIT2410467

Authors

Chander Diwaker Department of CSE, UIET, Kurukshetra University, Kurukshetra, Haryana, India Author
Atul Sharma Department of CSE, UIET, Kurukshetra University, Kurukshetra, Haryana, India Author

DOI:

https://doi.org/10.32628/CSEIT2410467

Keywords:

Artificial Intelligence, Machine Learning, Applications, Challenges

Abstract

The rising demand for Artificial Intelligence (AI) and Machine Learning (ML) technologies in the corporate sector offers significant opportunity for firms to foster innovation and change. Incorporating generative AI capabilities into AI/ML corporate adoption plans can significantly improve the performance and efficacy of these technologies. By adopting AI/ML with generative AI functionalities, organizations may optimize content production workflows, provide synthetic data to enhance ML model training, and provide more captivating consumer experiences. This connection enhances creativity and innovation, accelerating model development and refinement, leading to expedited advancement in the creation of sophisticated AI systems. This article discusses the significance of AI and ML in business. Future trends and difficulties are also examined.

Downloads

Download data is not yet available.

References

Bharadiya, Jasmin Praful, Reji Kurien Thomas, and Farhan Ahmed. "Rise of Artificial Intelligence in Business and Industry." Journal of Engineering Research and Reports 25, no. 3 (2023): 85-103. DOI: https://doi.org/10.9734/jerr/2023/v25i3893

Perifanis, Nikolaos-Alexandros, and Fotis Kitsios. "Investigating the influence of artificial intelligence on business value in the digital era of strategy: A literature review." Information 14, no. 2 (2023): 85. DOI: https://doi.org/10.3390/info14020085

Bharadiya, Jasmin Praful. "Machine learning and AI in business intelligence: Trends and opportunities." International Journal of Computer (IJC) 48, no. 1 (2023): 123-134.

Rakha, Naeem Allah. "The impacts of Artificial Intelligence (AI) on business and its regulatory challenges." International Journal of Law and Policy 1, no. 1 (2023). DOI: https://doi.org/10.59022/ijlp.23

Iaia, Lea, Chiara Nespoli, Francesca Vicentini, Marco Pironti, and Cinzia Genovino. "Supporting the implementation of AI in business communication: the role of knowledge management." Journal of Knowledge Management 28, no. 1 (2023): 85-95. DOI: https://doi.org/10.1108/JKM-12-2022-0944

Bharadiya, Jasmin. "The Impact of Artificial Intelligence on Business Processes." European Journal of Technology 7, no. 2 (2023): 15-25. DOI: https://doi.org/10.47672/ejt.1488

Farayola, Oluwatoyin Ajoke, Adekunle Abiola Abdul, Blessing Otohan Irabor, and Evelyn Chinedu Okeleke. "Innovative business models driven by ai technologies: a review." Computer Science & IT Research Journal 4, no. 2 (2023): 85-110. DOI: https://doi.org/10.51594/csitrj.v4i2.608

Chuma, Euclides Lourenco, and Gabriel Gomes De Oliveira. "Generative AI for business decision-making: A case of ChatGPT." Management Science and Business Decisions 3, no. 1 (2023): 5-11. DOI: https://doi.org/10.52812/msbd.63

Jain, Rahul. "The Impact of Artificial Intelligence on Business: Opportunities and Challenges." Available at SSRN 4407114 (2023). DOI: https://doi.org/10.2139/ssrn.4407114

Deike, Michael. "Evaluating the performance of ChatGPT and Perplexity AI in Business Reference." Journal of Business & Finance Librarianship 29, no. 2 (2024): 125-154. DOI: https://doi.org/10.1080/08963568.2024.2317534

Allioui, Hanane, and Youssef Mourdi. "Unleashing the potential of AI: Investigating cutting-edge technologies that are transforming businesses." International Journal of Computer Engineering and Data Science (IJCEDS) 3, no. 2 (2023): 1-12.

Castillo, Maria Jimenez, and Hamed Taherdoost. "The impact of AI technologies on e-business." Encyclopedia 3, no. 1 (2023): 107-121. DOI: https://doi.org/10.3390/encyclopedia3010009

Eboigbe, Emmanuel Osamuyimen, Oluwatoyin Ajoke Farayola, Funmilola Olatundun Olatoye, Obiageli Chinwe Nnabugwu, and Chibuike Daraojimba. "Business intelligence transformation through AI and data analytics." Engineering Science & Technology Journal 4, no. 5 (2023): 285-307. DOI: https://doi.org/10.51594/estj.v4i5.616

Manoharan, Geetha, Abdul Razak, CV Guru Rao, Sunitha Purushottam Ashtikar, and M. Nivedha. "Artificial Intelligence at the Helm: Steering the Modern Business Landscape Toward Progress." In The Ethical Frontier of AI and Data Analysis, pp. 72-99. IGI Global, 2024. DOI: https://doi.org/10.4018/979-8-3693-2964-1.ch005

Menzies, Jane, Bianka Sabert, Rohail Hassan, and Prince Kofi Mensah. "Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice." Thunderbird International Business Review 66, no. 2 (2024): 185-200. DOI: https://doi.org/10.1002/tie.22370

Rane, Jayesh, Ömer Kaya, Suraj Kumar Mallick, and Nitin Liladhar Rane. "Impact of ChatGPT and similar generative artificial intelligence on several business sectors: Applications, opportunities, challenges, and future prospects." (2024). DOI: https://doi.org/10.70593/978-81-981271-7-4_2

Diwaker, Chander, Atul Sharma, and Pradeep Tomar. "Artificial intelligence in higher education and learning." In Impact of AI Technologies on Teaching, Learning, and Research in Higher Education, pp. 62-72. IGI Global, 2021. DOI: https://doi.org/10.4018/978-1-7998-4763-2.ch004