Essays about: "AI service development"

Showing result 1 - 5 of 28 essays containing the words AI service development.

  1. 1. What if…? – How AI Chatbots Could Reconfigure Grocery Shopping In-store

    University essay from Göteborgs universitet/Graduate School

    Author : Hans Krugenberg; Kevin Ruf; [2023-07-03]
    Keywords : Digitalisation; Artificial Intelligence; Chatbots; Practice Theory; Retailing; Focus Groups;

    Abstract : In the light of the rapid development of AI technology, this paper aims to explore how the integration of the novel application of an AI chatbot would reconfigure the practice of grocery shopping in brickand- mortar stores contributing to the trend of self-service. Based on a hypothetical scenario discussed in focus groups and drawing on practice theory, the study points out that, by adding this new element, the links between the elements of the practice would change, inducing a change in meaning from purely functional to more inspirational. READ MORE

  3. 2. A Qualitative Analysis of the Impact of Artificial Intelligence (AI) Adoption (Focusing on Machine Learning (ML)) on the Organizational Capabilities of the Telecom Industry in Sweden and Finland

    University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

    Author : Neeraj Verma; [2023]
    Keywords : AI; R D; Industry 4.0; Qualitative Analysis; Innovation; Machine Learning; Business Performance; People and Culture; Process and Organization; Telecom; Technology.;

    Abstract : The German government's "Industry 4.0" paradigm transforms technology application across domains using real-time data and connectivity. The telecom sector's reliance on digital, software-driven infrastructure for real-time data and connectivity is paramount. READ MORE

  4. 3. Low-No code Platforms for Predictive Analytics

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Soma Karmakar; [2023]
    Keywords : Low code; no code; Predictive analytics; databricks; azure; AWS; Google cloud;

    Abstract : In the data-driven landscape of modern business, predictive analytics plays a pivotal role inanticipating and mitigating customer churn—a critical challenge for organizations. However, thetraditional complexities of machine learning hinder accessibility for decision-makers. READ MORE

  5. 4. 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

    University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Author : Damjan Tosic; [2023]
    Keywords : ChatGPT; OpenAI API; WordPress; artificial intelligence; web development; user interface; chat service; agile project management; prompt engineering;

    Abstract : 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. READ MORE

  6. 5. 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