Sökning: "AI decision support"

Visar resultat 1 - 5 av 65 uppsatser innehållade orden AI decision support.

1. 1. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

   Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Författare :Alexander Florean; [2024]
   Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

   Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER

3. 2. AI for innovators - An exploratory study on the application of Artificial Intelligence as a supportive tool in the innovation process

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Mauro Campus; [2023-07-19]
   Nyckelord :Innovation; Innovation Drivers; Stages of Innovation; Innovation Models; Innovation Process; Artificial Intelligence; Industry 4.0 and Artificial Intelligence; Machine Learning; Deep Learning; Generative AI; Artificial Intelligence in Business; Artificial Intelligence and Innovation;

   Sammanfattning : The technological evolution we are experiencing nowadays has impacted many businesses and industries. In this sense, one of the most influential technologies is certainly Artificial Intelligence, which especially in recent months has been at the centre of numerous debates. LÄS MER

4. 3. ASSESSING PUBLIC OPINION ON ALGORITHMIC FAIRNESS Reviewing practical challenges and the role of contextual factors

   Master-uppsats, Institutionen för tillämpad informationsteknologi

   Författare :Veronica Kecki; [2023-02-01]
   Nyckelord :AI; artificial intelligence; ML; machine learning; algorithms; algorithmic decision-making; fairness; socio-technical design; AI ethics;

   Sammanfattning : AI ethicists often claim that where algorithmic decision-making is impacting human lives, it is crucial to strive for transparency and explainability. As one form of achieving these, some authors have argued for socio-technical design of AI systems that involves the user in the design process. LÄS MER

5. 4. AI-systems påverkan på ledarroller och beslutsfattande

   Kandidat-uppsats, Uppsala universitet/Institutionen för samhällsbyggnad och industriell teknik

   Författare :Elin Ström; Ellen Ninsved; Sofie Strömstedt; [2023]
   Nyckelord :;

   Sammanfattning : Digitaliseringen har revolutionerat omvärlden de senaste decennierna, och det sätts press på organisationer att ständigt vara i framkanten av ny teknologi. Artificiell intelligens (AI) används alltmer inom företag. Dess utveckling sker snabbt och är högst relevant för dessa organisationers framtid. LÄS MER

7. 5. The Role of Managers in Big Data Analytics

   Magister-uppsats, Lunds universitet/Företagsekonomiska institutionen

   Författare :Oliver Bailey; Lorenzo Clavarino; [2023]
   Nyckelord :Big Data Analytics; Managers; Firm Performance; Skills; Management Styles; Artificial Intelligence; Competitive Advantage; Business and Economics;

   Sammanfattning : Insights from Big Data can become sources of competitive advantage and a foundation for decision-making, leading to an extended use of such technologies in many firms’ departments. Even if it is common practice to invest in BDA, oftentimes these techniques are not exploited correctly, resulting in an unrewarded effort by companies (Dahiya, Le, Ring & Watson, 2022). LÄS MER