Sökning: "quality learning organizations"
Visar resultat 1 - 5 av 88 uppsatser innehållade orden quality learning organizations.
1. Risk analysis of implementing Machine Learning in construction projects
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Machine Learning has significantly influenced development across domains by leveraging incoming and existing data. However, despite its advancements, criticism persists regarding its failure to adequately address real-world problems, with the construction domain being an example. LÄS MER
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
Magister-uppsats, Blekinge Tekniska Högskola/Institutionen för industriell ekonomiSammanfattning : 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. LÄS MER
3. Nyutexaminerade sjuksköterskors upplevelser av det första året som kliniskt verksam sjuksköterska : En litteraturstudie
Kandidat-uppsats, Malmö universitet/Institutionen för vårdvetenskap (VV)Sammanfattning : Bakgrund. Den ansträngda situationen inom hälso- och sjukvården gör att nyutexaminerade sjuksköterskor tvingas prestera på en nivå som inte alltid motsvarar deras färdigheter. LÄS MER
4. Digital Leadership Capabilities for successful Digital Transformation- Cultural perspective : How do digital leaders' experiences and perspectives on the capabilities needed for successful digital transformation in tech firms differ across different cultural contexts?
Magister-uppsats, Jönköping UniversitySammanfattning : Introduction: Digital transformation has had a significant impact on the way businesses operate and interact with their clients. The advent of digital technologies has brought about unprecedented changes in customer behavior, necessitating continuous adaptation and transformation to maintain competitiveness. LÄS MER
5. Extraction of Global Features for enhancing Machine Learning Performance
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Data Science plays an essential role in many organizations and industries to become data-driven in their decision-making and workflow, as models can provide relevant input in areas such as social media, the stock market, and manufacturing industries. To train models of quality, data preparation methods such as feature extraction are used to extract relevant features. LÄS MER