Essays about: "How to improve IT customer service"

Showing result 1 - 5 of 113 essays containing the words How to improve IT customer service.

  1. 1. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction

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

    Author : Yuxin Sun; [2023]
    Keywords : LSTM; Anomaly Detection; Failure Prediction; Log Mining; Deep Learning; LSTM; Anomali Detection; Failure Prediction; Log Mining; Deep Learning;

    Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE

  3. 2. 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

  4. 3. The Role of Self-Service Technology in Enhancing Value : An Exploratory B2B Case Study from a Business Model Perspective

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Theodor Bengtsson; Jonas Hägerlöf; [2023]
    Keywords : Self-service technology; business model; value; sustainability; B2B; IT procurement; Self-service technology; affärsmodell; värde; hållbarhet; B2B; IT-inköp;

    Abstract : As digitalization and sustainability evolves, the environment in which businesses operate constantly change. Value perceptions shift as a result of this and become increasingly multifaceted. Businesses must therefore adapt their business models. This is an issue within B2BIT procurement processes which are object to continuous change. READ MORE

  5. 4. Potential for improving public services by exploring citizens’ communication to public organizations in Sweden

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Ibrahim Ali Mehkri; [2023]
    Keywords : citizen inquiries; e-Government; Sweden; CRM;

    Abstract : Little et al., (1971) define citizen feedback as information from citizens directed to societal institutions, particularly government, to improve their functioning. READ MORE

  6. 5. Consumers' Interactions with Chatbots : A qualitative study about the optimization of customer service

    University essay from Mälardalens universitet/Akademin för ekonomi, samhälle och teknik

    Author : Marianne Chammas; Sanan Alhilali; Hibst Bekele; [2023]
    Keywords : chatbots; Artificial Intelligence; Consumer behavious; Customer service; Digitalization;

    Abstract : Research questions: How can businesses improve the trustworthiness and competence of chatbots for consumers? Purpose: The purpose is to investigate how chatbots' perceived competence and trustworthiness impact consumers' willingness to interact with them. The study             aims to identify patterns or businesses to advance  Method: The study relies on qualitative data and semi-structured interviews with consumers about their experience with chatbots. READ MORE