The Role of Digitalization, Big Data Analytics, and Artificial Intelligence in Transforming
DOI:
https://doi.org/10.52783/jns.v14.1686Keywords:
Artificial Intelligence, Big Data Analytics, Cloud Computing, Cost-Benefit Ratio, Data-Driven Decision-Making, Digital Transformation, Digitalization, IT Businesses, Machine Learning, Predictive Analytics, Return on Investment, Workforce Efficiency.Abstract
In the contemporary technological landscape, digitalization, big data analytics, and artificial intelligence are pivotal forces driving transformation within IT businesses. Digitalization refers to the integration of digital technologies into all business areas, fundamentally changing operations, and customer interactions, while fostering a culture of innovation and agility (Enterprisers Project, 2020). Big data analytics empowers organizations to harness vast amounts of data for deeper insights, enabling informed decision-making and strategic advantages through enhanced efficiency and cost reduction. Meanwhile, artificial intelligence supports organizations in automating routine tasks, improving data analysis, and personalizing customer experiences, ultimately enhancing operational performance and scalability (19 Aug, 2024). The synergistic application of these technologies is not merely an option but a necessity for IT businesses striving to remain competitive in a rapidly evolving digital era. As companies navigate the complexities of digital transformation, they must adopt a holistic approach that includes developing robust frameworks, fostering leadership and cultural shifts, and investing in innovative solutions to unlock the full potential of these technological advancements (Enterprisers Project, 2020).
Downloads
Metrics
References
Paramesha, M., Singh, R., & Sharma, K. (2023). Impact of big data and machine learning on digital transformation in marketing: A literature review.
Xu, L., Wang, H., & Li, J. (2022). A framework for digital business transformation, data analytics, and DataOps: An information processing perspective.
Mohamed, A., & Weber, C. (2020). Digitalization and big data adoption in UK SMEs: Lessons learned from 53 case studies.
Jagatheesaperumal, M., Patel, D., & Kumar, S. (2021). The role of AI and big data in Industry 4.0: A comprehensive overview. Academia.
Tawil, A., Johnson, R., & Malik, Z. (2023). Challenges and opportunities of data-driven decision-making in UK SMEs: A case study approach.
Kraus, S., Palmer, C., & Kailer, N. (2021). Digital transformation: A systematic review of the current state of research.
Wamba, S. F., Akter, S., & Trinchera, L. (2020). Big data analytics and supply chain performance: A systematic literature review. Journal of Business Research, 125, 1-15.
Mikalef, P., & Gupta, M. (2021). Big data analytics capabilities and firm performance: A resource-based perspective. Journal of Strategic Information Systems, 30(2), 101-128.
Dubey, R., Gunasekaran, A., & Childe, S. J. (2020). Big data analytics capability and organizational performance: The mediating role of dynamic capabilities. International Journal of Production Economics, 228, 107-120.
Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049-1064.
Akter, S., Fosso Wamba, S., & Dewan, S. (2016). Big data analytics in E-commerce: A systematic review and research agenda. Journal of Business Research, 70, 308-317.
Sobia Wassan, Chen Xi, Tian Shen, Kamal Gulati, Kinza Ibraheem, Rana M. Amir Latif Rajpoot, "The Impact of Online Learning System on Students Affected with Stroke Disease", Behavioural Neurology, vol. 2022, Article ID 4847066, 14 pages, 2022. https://doi.org/10.1155/2022/4847066
Sobia Wassan, Tian Shen, Chen Xi, Kamal Gulati, Danish Vasan, Beenish Suhail, "Customer Experience towards the Product during a Coronavirus Outbreak", Behavioural Neurology, vol. 2022, Article ID 4279346, 18 pages, 2022. https://doi.org/10.1155/2022/4279346
Dhiman, G.; Juneja, S.; Viriyasitavat, W.; Mohafez, H.; Hadizadeh, M.; Islam, M.A.; El Bayoumy, I.; Gulati, K. A Novel Machine-Learning-Based Hybrid CNN Model for Tumor Identification in Medical Image Processing. Sustainability 2022, 14, 1447. https://doi.org/10.3390/su14031447
Akanksha, E., Sharma, N., & Gulati, K. (2021, January). OPNN: Optimized Probabilistic Neural Network based Automatic Detection of Maize Plant Disease Detection. In 2021 6th International Conference on Inventive Computation Technologies (ICICT) (pp. 1322-1328). IEEE.
Gulati, K., Boddu, R. S. K., Kapila, D., Bangare, S. L., Chandnani, N., & Saravanan, G. (2021). A review paper on wireless sensor network techniques in Internet of Things (IoT). Materials Today: Proceedings.
Gulati, K., Kumar, S. S., Boddu, R. S. K., Sarvakar, K., Sharma, D. K., & Nomani, M. Z. M. (2021). Comparative analysis of machine learning-based classification models using sentiment classification of tweets related to COVID-19 pandemic. Materials Today: Proceedings.
Wisetsri, W., R.T.S., Julie Aarthy, C.C., Thakur, V., Pandey. D. and Gulati K. (2021), Systematic Analysis and Future Research Directions in Artificial Intelligence for Marketing. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(11), 43-55.
Akanksha, E., Sharma, N., & Gulati, K. (2021, April). Review on Reinforcement Learning, Research Evolution and Scope of Application. In 2021 5th International Conference on Computing Methodologies and Communication (ICCMC) (pp. 1416-1423). IEEE.
Singh, U. S., Singh, N., Gulati, K., Bhasin, N. K., & Sreejith, P. M. (2021). A study on the revolution of consumer relationships as a combination of human interactions and digital transformations. Materials Today: Proceedings.
Gulati, K., Boddu, R. S. K., Kapila, D., Bangare, S. L., Chandnani, N., & Saravanan, G. (2021). A review paper on wireless sensor network techniques in Internet of Things (IoT). Materials Today: Proceedings.
SANGEETHA, D. M., PRIYA, D. R., ELIAS, J., MAMGAIN, D. P., WASSAN, S., & GULATI, D. K. (2021). Techniques Using Artificial Intelligence to Solve Stock Market Forecast, Sales Estimating and Market Division Issues. Journal of Contemporary Issues in Business and Government, 27(3), 209-215.
Dovhan, O.D., Yurchenko, O.M., Naidon, J.O., Peliukh, O.S., Tkachuk, N.I. and Gulati, K. (2021), "Formation of the counter intelligence strategy of Ukraine: national and legal dimension", World Journal of Engineering, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/WJE-06-2021-0358
Billewar, S.R., Jadhav, K., Sriram, V.P., Arun, D.A., Mohd Abdul, S., Gulati, K. and Bhasin, D.N.K.K. (2021), "The rise of 3D E-Commerce: the online shopping gets real with virtual reality and augmented reality during COVID-19", World Journal of Engineering, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/WJE-06-2021-0338
Sanil, H.S., Singh, D., Raj, K.B., Choubey, S., Bhasin, N.K.K., Yadav, R. and Gulati, K. (2021), "Role of machine learning in changing social and business eco-system – a qualitative study to explore the factors contributing to competitive advantage during COVID pandemic", World Journal of Engineering, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/WJE-06-2021-0357
L. M. I. L. Joseph, P. Goel, A. Jain, K. Rajyalakshmi, K. Gulati and P. Singh, "A Novel Hybrid Deep Learning Algorithm for Smart City Traffic Congestion Predictions," 2021 6th International Conference on Signal Processing, Computing and Control (ISPCC), 2021, pp. 561-565, doi: 10.1109/ISPCC53510.2021.9609467.
S. L. Bangare, S. Prakash, K. Gulati, B. Veeru, G. Dhiman and S. Jaiswal, "The Architecture, Classification, and Unsolved Research Issues of Big Data extraction as well as decomposing the Internet of Vehicles (IoV)," 2021 6th International Conference on Signal Processing, Computing and Control (ISPCC), 2021, pp. 566-571, doi: 10.1109/ISPCC53510.2021.9609451.
V. P. Sriram, K. B. Raj, K. Srinivas, H. Pallathadka, G. S. Sajja and K. Gulati, "An Extensive Systematic Review of RFID Technology Role in Supply Chain Management (SCM)," 2021 6th International Conference on Signal Processing, Computing and Control (ISPCC), 2021, pp. 789-794, doi: 10.1109/ISPCC53510.2021.9609414.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
Terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
