scholarly journals Implementing Artificial Intelligence in CDR & Links Failure in Telecom Technology

2021 ◽  
Vol 9 (VII) ◽  
pp. 3309-3312
Author(s):  
R. Natarajan
Keyword(s):  
Artificial Intelligence ◽  
Service Provider ◽  
Machine Language ◽  
Language Technology ◽  
Telecom Service ◽  
Telecom Industry ◽  
Day To Day Operations

This Paper is about implementing Machine Language Technology in Important day to day operations of Telecom Industry. CDR (Call Details Record) is one of the Primary Operations of Telecom service Provider for Charging Monthly Expenses to the Subscribers.Implementing AI in Telecom Links Failure is another Agenda of this Paper.

Exploration of Product Centric Factors in Telecom Industry

2015 ◽  
Vol 8 (1) ◽  
Author(s):  
Swati Ganeti ◽  
Rajat Agarwal ◽  
Murali Krishna Medudula ◽  
Mahim Sagar
Keyword(s):  
Service Quality ◽  
Service Provider ◽  
Service Providers ◽  
Network Connectivity ◽  
Factor Loading ◽  
The Other ◽  
Relative Importance ◽  
Network Connection ◽  
Telecom Service ◽  
Telecom Industry

Telecom industry is one of those industries which has changed dramatically during the past decade. With more and more players entering in this industry, competition is ever increasing. The war between these players is slowly shifting from the price to the augmentation. This paper aims at exploring such factors which influence a customers preference of one telecom service provider (TSP) over the other. It is a descriptive research where study has been conducted among the consumers of different telecom service providers (TSPs). By reviewing the existing literature in this domain, we explored different factors which affect the consumers decision to prefer one telecom service provider over the other. A consumer targeted questionnaire was designed where consumers were asked about the factors they consider (with their relative importance quantified using Likert scale), before buying a new network connection to know the relative importance of the various factors. Factor Analysis was performed to club various variables into distinct factors. Statistical techniques then helped in identifying the relative importance. From the Factor Loading matrix the following five factors were generated:- Overall service quality, Point of Purchase Differentiator, Promotion Measures, Tariff Plans and Size of the Network. Further study in the behavioural perceptions of consumer shows that the most important factor in influencing the customer buying behavior is Service Quality. The second most important factor is cost and various plans offered by the telecom service provider. Network connectivity was considered by almost all the respondents and consumers prefer the largest network player. The study also found that promotional measures dont influence the customers as expected.

scholarly journals Churn rate prediction in Telecommunication systems

2019 ◽  
Vol 8 (6) ◽  
pp. 4720-4725
Keyword(s):  
Customer Loyalty ◽  
Service Provider ◽  
Lower Cost ◽  
Switching Costs ◽  
Telecommunication Sector ◽  
Rate Prediction ◽  
Telecommunication Systems ◽  
Time Period ◽  
Collective Group ◽  
Telecom Industry

The broad view of chum rate measures the amount of individuals or items comes out of a collective group over a predefined time period. Many challenges linked with the churn rates in the telecom industry rise in increasing competition with the elimination of switching costs. The customer loyalty over the telecom industry exists along with the service provider struggling to offer improved services with the lower cost. Many author reviews depends on the churn rate prediction in the field of telecommunication sector discussed with the paper. The paper talk about an idea related with an application of churn rate for the technical review.

Jio sparks Disruption 2.0: infrastructural imaginaries and platform ecosystems in ‘Digital India’

2018 ◽  
Vol 41 (2) ◽  
pp. 175-195 ◽  
Author(s):  
Rahul Mukherjee
Keyword(s):  
Fiber Optics ◽  
Service Provider ◽  
Lived Experiences ◽  
Data Streaming ◽  
Customer Base ◽  
Telecom Industry ◽  
Platform Ecosystems ◽  
Voice Calls ◽  
Telecom Infrastructure ◽  
Ordinary Citizens

In recent years, Reliance Jio’s offer of 4G services, guaranteeing free voice calls and ‘unlimited’ data streaming, lead to disruption in the Indian telecom market with other cellular operators losing their revenue and customer base. To comprehensively analyze this churn in the Indian telecom industry and its impact on mobile phone customers, the article argues for observing the entanglement of infrastructural and platform-related discourses at three levels of operation: Jio’s strategies to capture the Indian telecom market and the responses by the leading incumbent service provider (Airtel), ordinary citizens’ phone use practices and infrastructural encounters, and the government’s vision for India’s digital future. Connecting pipes to platforms, Jio made infrastructural investments (in spectrum, cell towers, and fiber optics networks) to promote its suite of apps (JioTV, JioChat, and JioMoney). Ordinary citizens relate their access/proximity to telecom infrastructure (cell antennas) to their ability to effectively use apps on their phones. ‘Digital India’ vision purportedly facilitated infrastructural growth to create platforms that would support demonetization and facilitate transparent governance. Through such a three-pronged analysis, I conceptualize ‘infrastructural imaginaries’ that are coproduced by states and citizens, and lie at the intersection of structured state policy/corporate initiatives and lived experiences/affective encounters of ordinary citizens.

scholarly journals An Emerging Role of Chatbot in Businesses as a Novel Interactive Tool

2019 ◽  
Vol 7 (2) ◽  
pp. 36-39
Author(s):  
T. Venkat Narayana Rao et al.
Keyword(s):  
Artificial Intelligence ◽  
Natural Language Processing ◽  
Natural Language ◽  
Customer Service ◽  
Language Processing ◽  
Machine Language ◽  
Business Sector ◽  
Business People ◽  
History Of

Chatbot enables the business people to reach their target customers using popular messenger apps like Facebook, Whatsapp etc. Chatbots are not handled by humans directly. Nowadays, Chatbots are becoming very popular especially in business sector by reducing the human efforts and automated customer service. It is a software which interacts with user using natural language processing, Machine Language and Artificial Intelligence. They allow users to simply ask questions which would simulate interaction with the humans. The popular and well known chatbots are Alex and Siri. This paper focus on review of chatbot, history of chatbot and its implementation along with applications.

scholarly journals Power Intelligent Customer Service Robot Based on Artificial Intelligence

2021 ◽  
Vol 2066 (1) ◽  
pp. 012048
Author(s):  
Lin Chen
Keyword(s):  
Artificial Intelligence ◽  
Natural Language ◽  
Customer Service ◽  
Rapid Development ◽  
Service Robot ◽  
Maintenance Cost ◽  
Typical Application ◽  
Language Technology ◽  
Voice Chat ◽  
Number Of Customers

Abstract With the rapid development of speech recognition technology, voice chat robot has become a breakthrough of artificial intelligence. Voice chat robot should be a typical application field of customer service, providing customers with efficient and convenient service all day. The traditional customer service center is mainly based on telephone service, facing the problems of large number of customers, high maintenance cost, slow knowledge update, limited service time, low training cost and so on. So, at the same time, the use habits of customers have also changed fundamentally. The vast majority of services and transactions can be carried out through the Internet, such as Taobao and Jingdong. However, the quality and cost of voice services can be greatly reduced through the interaction between robots and channelization voice service centers. Through the research and development of natural language technology, an intelligent and centralized mobile communication service application platform is constructed by using we-chat platform. Through natural language processing, machine learning, big data computing and other technological innovation, we focus on the use of online robot recognition to understand customer problems and timely feedback customer needs. The results show that in the statistics of customer service machine problems, the highest proportion of consumers’ problems about payment is 37%, and the lowest is 29%.

scholarly journals From the National Corpus of Polish to the Polish Corpus Infrastructure

2019 ◽  
Vol 70 (2) ◽  
pp. 315-323
Author(s):  
Maciej Ogrodniczuk ◽  
Rafał L. Górski ◽  
Marek Łaziński ◽  
Piotr Pęzik
Keyword(s):  
Artificial Intelligence ◽  
Research Community ◽  
Language Technology ◽  
Computer Scientists ◽  
Language Data ◽  
Easy Integration ◽  
National Corpus ◽  
Available Resources

Abstract The National Corpus of Polish emerged as a cumulative result of many years of work on large reference corpora by computer scientists and linguists in Poland. While its impact on research in linguistics, humanities and language technology is unquestionable and highly significant, the construction of the national corpus was halted in 2011. In the paper we call for activating the research community and funding institutions around the construction of a corpus infrastructure with the national corpus at its heart. It is claimed that on the verge of an artificial intelligence revolution the envisaged Polish Corpus Infrastructure would provide reliable language data, combine available resources and allow easy integration of new ones.

Cloud Based Secure Data Sharing Algorithm for Health Care

2016 ◽  
pp. 47-65
Author(s):  
Saravana Kumar N. ◽  
Rajya Lakshmi Gubburi Venkataramana ◽  
Balamurugan B.
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Health Sector ◽  
Cloud Service ◽  
Cloud Services ◽  
Cloud Service Provider ◽  
Language Technology ◽  
Wide Range ◽  
Architectural Framework ◽  
And Performance

Cloud computing is one of most fast developing technology and many organizations are now offering a wide range of cloud services. Although the services provided are the same there is no common programming language, technology and protocol to access the entirety of the cloud services. Client who use a service provided by a certain organization are often limited and confined to that specific organization its structure and technologies. A Cloud federation is one solution to that interoperability through which computing resources of one Cloud Service Provider is rented or sold to another service provider or the services provided by one Cloud Service Provider is replicated into another Cloud Service Provider without having to lose any functionality and performance. This process is a tedious task and is prone to multiple limitations. In this paper we proposed the architectural framework and algorithm for the possible interoperability between the cloud service providers based on SLA in prospective of health sector as the application of cloud in health sector is highly needed in future.

Sign in / Sign up

Export Citation Format

Share Document