Abstract
The telecommunications industry is making significant strides in technological advancements, and Big Data Analytics is playing a crucial role. Unlike in the past, the industry is no longer confined to providing phone and internet services. Big Data Analytics and AI have been successful in replacing obsolete and time-consuming techniques with modern algorithms that simplify the analysis and handling of large amounts of data from diverse consumer bases. Computer vision techniques have proven particularly useful in this regard. This article explores how Big Data Analytics is disrupting the telecoms sector by breaking down boundaries using technologies like Self-optimizing Networks (SON), Robotics Process Automation (RPA), and Chatbots.
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References
Guzman AL, Lewis SC (2019) Artificial intelligence and communication: a human-machine communication research agenda. Sage Publishing, vol 65, p 5
Khatib MME, Nakeeb AA, Ahmed G (2019) Integration of cloud computing with artificial intelligence and its impact on telecom sector—a study case. iBusiness 11:8
Khrais LT (2020) Role of artificial intelligence in shaping consumer demand in e-commerce. J Future Internet 12:12
Kumar A (2018) Artificial intelligence for place-time convolved wireless communication networks. ICT Discov 1:83
Laghari KUR, Yahia GI, Crespi N (2019) Analysis of telecommunication management technologies. Institute Telecom, vol 2, p 6
Li C, Fan J, Li M (2019) Navigation performance comparison of ACE-BOC signal and TD-Alt BOC signal. Springer, vol 287, p 52
Li Z, Wang X, Li M, Han S (2019) An adaptive window time-frequency analysis method based on Short-Time Fourier Transform, vol 287. Springer, p 91
Liang W, Sun M, He B (2018) New Technology brings new opportunity for telecommunication carriers: artificial intelligent applications and practices in telecom operators. ICT Discov 1:121
Ma J, Shi B, Che F, Zhang S (2019) Research on evaluation method of cooperative jamming effect in cognitive confrontation, vol 287. Springer, p 40
Thakkar HK, Desai A, Ghosh S, Singh P, Sharma G (2022) Clairvoyant: AdaBoost with cost enabled cost-sensitive classifier for customer churn prediction. Comput Intell Neurosci: 9028580. https://doi.org/10.1155/2022/9028580
Optimization of artificial intelligence in telecommunication. In: Proceedings of the second Asia Pacific international conference on industrial engineering and operations management Surakarta, Indonesia, p 09 (2021)
A churn prediction model using random forest: analysis of machine learning techniques for churn prediction and factor identification in telecom sector, vol 7 (2019)
Artificial intelligence driven 5G and beyond networks. Telecom IT 10(2):1–13 (2022). https://doi.org/10.31854/2307-1303-2022-10-2-1-13
Anomaly detection in telecommunication network performance data. In: Proceedings of the 2007 international conference on artificial intelligence, ICAI 2007, vol 2, pp 433–438, 01/12/2007
Customer satisfaction index. World Academy of Science, Engineering and Technology, 69 (2012)
Hair JF et al (1998) Multivariate data analysis, 5th edn. Prentice-Hall, Inc., New Jersey
Ali T, Ozkan C (2007) Development of a customer satisfaction index model. J Industr Manage Data Syst 107(5)
Optimization of artificial intelligence in telecommunication proceedings of the second Asia Pacific international conference on industrial engineering and operations management Surakarta, Indonesia, 14–16 Sept 2021. Int J Econ Bus Manage Stud 3(2):55–66
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Kumar, A., Arya, N., Sharma, P.K. (2023). A Research on the Impact of Big Data Analytics on the Telecommunications Sector. In: Choudrie, J., Mahalle, P.N., Perumal, T., Joshi, A. (eds) ICT with Intelligent Applications. ICTIS 2023. Lecture Notes in Networks and Systems, vol 719. Springer, Singapore. https://doi.org/10.1007/978-981-99-3758-5_12
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DOI: https://doi.org/10.1007/978-981-99-3758-5_12
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