Sökning: "delivery models"
Visar resultat 1 - 5 av 236 uppsatser innehållade orden delivery models.
1. Digitalization and Electrification´s Transformational Impact on the Automotive Mobility Industry - A multiple case study on the Swedish automotive mobility industry facing changing business models, challenges, and future opportunities
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : The automotive mobility industry, including car manufactures, car-sharing, and ride-hailing companies, is experiencing technological change through electrification and digitalization. These two trends can potentially disrupt the whole industry through, i.e. LÄS MER
2. Identification and Classification of TTS Intelligibility Errors Using ASR : A Method for Automatic Evaluation of Speech Intelligibility
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In recent years, applications using synthesized speech have become more numerous and publicly available. As the area grows, so does the need for delivering high-quality, intelligible speech, and subsequently the need for effective methods of assessing the intelligibility of synthesized speech. LÄS MER
3. Artificial Intelligence-driven web development and agile project management using OpenAI API and GPT technology : A detailed report on technical integration and implementation of GPT models in CMS with API and agile web development for quality user-centered AI chat service experience
M1-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Sammanfattning : This graduation report explores the integration of Artificial Intelligence (AI) tools, specifically OpenAI's Generative Pre-trained Transformer (GPT) technology, into web development processes using WordPress (WP) for developing a AI-driven chat service. The focus of the project is on ImagineX AB, a private company that offers the educational service ChatGPT Utbildning aimed at teaching professionals to effectively utilize ChatGPT. LÄS MER
4. Prediction Models for TV Case Resolution Times with Machine Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
5. Predicting the Impact of Supply Chain Disruptions Using Statistical Analysis and Machine Learning
Master-uppsats, KTH/Matematisk statistikSammanfattning : The dairy business is vulnerable to supply chain disruptions since large safety stocks to cover up losses are not always a viable option, therefore it is crucial to maintain a smooth supply chain to ensure stable delivery accuracies. Disruptions are unpredictable and hard to avoid in the supply chain, especially in cases where production errors cause lost production volume. LÄS MER