Sökning: "Business Intelligence"

Visar resultat 36 - 40 av 821 uppsatser innehållade orden Business Intelligence.

  1. 36. Using Social Media and Personality Predictions to Anticipate Startup Success

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Daniel Stenson; [2023]
    Nyckelord :Machine Learning; Startup Success Predictions; Founder Personalities; Natural Language Processing; Social Media Analysis; Big 5 Personality Framework; Feed-forward Neural Network; XGBoost.; Mathematics and Statistics;

    Sammanfattning : This thesis explores the potential of integrating predicted founder personalities, based on the Big 5 Personality Framework, into Machine Learning (ML) models to enhance the accuracy of early-stage startup success predictions. Leveraging Natural Language Processing (NLP) techniques, we extracted personality insights from founders' tweets, focusing on US startups funded between 2013 and 2015. LÄS MER

  2. 37. Exploring AI in Swedish E-commerce: A Qualitative Study on Factors Influencing AI Implementation and its Challenges

    Kandidat-uppsats, Lunds universitet/Institutionen för informatik

    Författare :Carl Tegnér; Axel Lidvall; [2023]
    Nyckelord :Artificial Intelligence AI ; Technology-Organization-Environment TOE Framework; AI Readiness Factors; E-commerce; Sweden.; Business and Economics;

    Sammanfattning : This thesis focuses on the adoption of AI within e-commerce in Sweden. A qualitative approach was adopted, interviewing professionals working in the e-commerce sector. Results were presented using the Technology-Organization-Environment (TOE) framework. LÄS MER

  3. 38. IMPACT OF AI ON DECISION MAKING: : AI REPUBLIC, A TELUS INTERNATIONAL CASE STUDY

    Magister-uppsats, Högskolan i Gävle/Företagsekonomi

    Författare :UMUTONI JANE HABIMANA MONIQUE; NAJLA'A AREEF FALAH ALSAWAEER; [2023]
    Nyckelord :Artificial intelligence; cognitive ability; deductive approach; data; process; technology; predictability; decision making; qualitative;

    Sammanfattning : Abstract The purpose of this master thesis is to conduct a Qualitative analysis on the impact of artificial intelligence (AI) on Telus International, a leading provider of customer service and business process outsourcing solutions using the deductive approach to collect the data. Through interviews with key respondents at the company and a review of relevant literature, this study aims to understand the ways in which artificial intelligence is being used at Telus International in the decision making process and the effects it has on the organisation. LÄS MER

  4. 39. En teknisk lösning för att spegla vårdbehov mot antal personal inom äldreomsorgen : En kvalitativ studie om hur en Business Intelligence dashboard kan användas för att visualisera vårdbehovet inom äldreomsorgen

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :My Bohlin; [2023]
    Nyckelord :Business intelligence; dashboard; nyckeltal; äldreomsorg;

    Sammanfattning : Ett ökat vårdbehov hos våra äldre i kombination med en fortsatt personalbrist inom äldreomsorgen på många ställen i Sverige kräver en fortsatt digital utveckling inom hälso- och sjukvården, för att på ett effektivt sätt kunna möta det växande vårdbehovet. De senaste åren har intresset för Business Intelligence ökat inom just hälso- och sjukvården, och nya verktyg som kan implementeras för att effektivisera och förbättra vårdkvalitén är under ständig utveckling. LÄS MER

  5. 40. Artificial Intelligence Adoption in Software Development, A Qualitative Study on Developers’ Views

    Magister-uppsats, Lunds universitet/Institutionen för informatik

    Författare :Kémaël Josua Kauppaymuthoo; Charles Collins; [2023]
    Nyckelord :software development; artificial intelligence; human artificial intelligence interaction; AI pair-programming; ethics; Business and Economics;

    Sammanfattning : The sustained continued rapid evolution of Artificial Intelligence (AI) has revolutionised various sectors, including software development. This qualitative study employs a thematic analysis approach to investigate the views of individuals participating professionally and personally in software development, focusing on the adoption of Artificial Intelligence (AI) technologies in the field. LÄS MER