Sökning: "Real time business intelligence"

Visar resultat 1 - 5 av 27 uppsatser innehållade orden Real time business intelligence.

  1. 1. 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 ekonomi

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

    Sammanfattning : 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. 2. Reinforcement learning for EV charging optimization : A holistic perspective for commercial vehicle fleets

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Enzo Alexander Cording; [2023]
    Nyckelord :Deep Reinforcement Learning; EV charging optimization; Artificial Intelligence; Commercial vehicle fleets; Electric vehicles; Deep Reinforcement Learning; optimering av elbilsladdning; artificiell intelligens; kommersiella fordonsflottor; Elektriska fordon;

    Sammanfattning : Recent years have seen an unprecedented uptake in electric vehicles, driven by the global push to reduce carbon emissions. At the same time, intermittent renewables are being deployed increasingly. These developments are putting flexibility measures such as dynamic load management in the spotlight of the energy transition. LÄS MER

  4. 3. Are Distributed Representations in Neural Networks More Robust Against Malicious Fooling Attacks

    Magister-uppsats, Högskolan Dalarna/Institutionen för information och teknik

    Författare :Nida Sardar; Sundas Khan; [2023]
    Nyckelord :Adversarial attacks; Information Smearedness; Artificial Neural Networks; Information Relay; Dropout; Fast Gradient Sign Method;

    Sammanfattning : A plethora of data from sources like IoT, social websites, health, business, and many more have revolutionized the digital world in recent years. To make effective use of data for any sort of analysis, prediction, or automation of applications, the demand for machine learning and artificial intelligence has grown over time. LÄS MER

  5. 4. Study of AI Service Providers in IT Consulting, Marketing, and Law

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Aren Hovsepyan; Kevin Johansson; [2023]
    Nyckelord :Artificial Intelligence; AI; professional service firms PSFs ; AI services; IT consulting; marketing; legal services; Gioia analysis; sector-specific analysis of AI services; automation; augmentation; intermediaries; Artificiell intelligens; AI; professionella tjänsteföretag PSFs ; AI-tjänster; IT-rådgivning; marknadsföring; juridiska tjänster; Gioia analys; sektorspecifik analys av AI-tjänster; automatisering; augmentation; mellanhänder;

    Sammanfattning : This study employs a Gioia analysis to investigate the AI services offered within three distinct professional service sectors in Sweden: IT consulting, marketing, and legal services. Utilizing a list of companies from a prior KTH project and publicly accessible information, we applied a cross-sectoral Gioia analysis to systematically categorize, compare, and understand the types of AI services provided and how these offerings differ between sectors. LÄS MER

  7. 5. On the use of knowledge graph embeddings for business expansion

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Niklas Rydberg; [2022]
    Nyckelord :Knowledge Graph Embeddings; Knowledge Graphs; Link Prediction; Machine Learning; Artificial Intelligence; Kunskapsgrafinbäddningar; Kunskapsgrafer; Länkförutsägelser; Maskininlärning; Artificiell Intelligens;

    Sammanfattning : The area of Knowledge Graphs has grown significantly during recent time and has found many different applications both in industrial and academic settings. Despite this, many large Knowledge Graphs are in fact incomplete, which leads to the problem of finding the missing facts in the graphs using Link Prediction. LÄS MER