Essays about: "Telecommunications Companies"

Showing result 1 - 5 of 55 essays containing the words Telecommunications Companies.

1. 1. Prediction Models for TV Case Resolution Times with Machine Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Borja Javierre I Moyano; [2023]
   Keywords : Datasets; Machine Learning ML ; Prediction; Resolution Time RT ; Solve Time; TV Cases; Trouble Tickets TT ; Customer-Related Trouble Tickets Resolution Time; CRM system; BI system; Telecommunications; Dataset; Machine Learning ML ; Prediction; Resolution Time; Solve Time; TV Cases; Trouble Tickets TT ; Kundrelaterade problem Tickets Resolution tid; CRM-system; BI-system; Telekommunikationer.;

   Abstract : TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. READ MORE

3. 2. High-Performing Cloud Native SW Using Key-Value Storage or Database for Externalized States

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Ahmed Sikh; Joel Axén; [2023]
   Keywords : cloud-native; externalized states; latency; simulator; Redis; PostgreSQL; moln-nativ; externaliserade tillstånd; latens; simulator; Redis; PostgreSQL;

   Abstract : To meet the demands of 5G and what comes after, telecommunications companies will need to replace their old embedded systems with new technology. One such solution could be to develop cloud-native applications that offer many benefits but are less reliable than embedded systems. READ MORE

4. 3. CUSTOMER CHURN PREDICTION MODEL IN TELECOMMUNICATION SECTOR USING MACHINELEARNING TECHNIQUE

   University essay from Uppsala universitet/Statistiska institutionen

   Author : Nayema Taskin; [2023]
   Keywords : Telecommunication; Customer Retention; Churn Prediction; Machine Learning.;

   Abstract : Customer churn is a critical problem faced by telecom companies, leading to lost revenue and increased marketing costs. In the highly competitive telecommunication sector, customer retention is essential for success. It costs five to seven times more toacquire a new customer than it does to retain an existing one. READ MORE

5. 4. Deterministic Performance on Kubernetes

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Chetan Kandya; [2023]
   Keywords : Kubernetes; Deterministic Performance; Core Isolation; IDO; Intent Driven Orchestration; CRI-RM; Docker; Cloud Optimization;

   Abstract : With the exponential growth of virtualization and cloud computing over the last decade, many companies in the telecommunications sector have started their journey towards cloud migration by exchanging a lot of specialized hardware for virtualized solutions. With more and more applications running in a cloud environment, it became essential to run these applications on heterogeneous systems with shared underlying hardware and software resources. READ MORE

6. 5. Assessing The Scope And Challenges Of Environmental Sustainability Reporting In Developing Countries. : A Study Of Telecommunications Companies In Kenya And Uganda.

   University essay from Umeå universitet/Företagsekonomi

   Author : Elda Mary Akware; [2023]
   Keywords : Environmental sustainability; Developing countries; Telecommunications Companies; challenges; and Opportunities;

   Abstract : There is a general agreement that human activities have a significant impact on environmentalsustainability, which leads to global warming and climate change. However, not much researchhas been done on how telecommunications firms in developing countries deal with environmentalrisks. READ MORE