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Showing result 1 - 5 of 27 essays matching the above criteria.

  1. 1. Accelerating university-industry collaborations with MLOps : A case study about the cooperation of Aimo and the Linnaeus University

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Nico Pistor; [2023]
    Keywords : MLOps; Machine Learning Operations; Development Process; Machine Learning; Artificial Intelligence; DevOps; Collaboration;

    Abstract : Many developed machine learning models are not used in production applications as several challenges must be solved to develop and deploy ML models. Manual reimplementation and heterogeneous environments increase the effort required to develop an ML model or improve an existing one, considerably slowing down the overall process. READ MORE

  2. 2. Purchasing and digitalization in an era of turbulence

    University essay from Lunds universitet/Teknisk logistik

    Author : Vishal Natesan; Emil Sarajlic; [2023]
    Keywords : Supplying; digitisation; digitalization; Artificial Intelligence; Turbulence; Delivery performance; Duni Group; Technology and Engineering;

    Abstract : Abstract Title: Purchasing and digitalization in an era of turbulence Authors: Emil Sarajlic & Vishal Natesan Supervisor: Wilbert Baerwaldt, Director Sourcing and Value Chain at Duni AB Louise Bildsten, Department of Industrial Management & Logistics, Faculty of Engineering, Lund University Examiner: Jan Olhager, Department of Industrial Management & Logistics, Faculty of Engineering, Lund University Background: This research delves into the uncertainties and challenges encountered in global supply chain operations, exacerbated by unpredictable events such as the COVID-19 pandemic and the 2021 Suez Canal obstruction. These disruptions can lead to stock-outs, poor capacity utilization, and the need for expensive buffers. READ MORE

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

    University essay from Högskolan i Gävle/Företagsekonomi

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

    Abstract : 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. READ MORE

  4. 4. Rubberducking EU copyright law - Generative AI, machine learning and infringement

    University essay from Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakulteten

    Author : Monika Trombitas Andersson; [2023]
    Keywords : Artificial intelligence; copyright law; EU-law; copyright infringement; data mining exception; Law and Political Science;

    Abstract : Huruvida generativ AI utgör intrång i upphovsrättsinnehavarens ekonomiska rättigheter är en normativ fråga som, på grund av rättssäkerhetsprincipen som är en viktig del av rättsstatsprincipen borde kunna besvaras. Ändå verkar det inte finnas något entydigt svar. READ MORE

  5. 5. Artificial Intelligence as a Catalyst for Supply Chain Resilience: A Qualitative Study Comparing Scania and Volvo in the Construction Equipment Industry

    University essay from Mälardalens universitet/Akademin för ekonomi, samhälle och teknik

    Author : Aymen Safi; Ramak Amyari Khamneh; [2023]
    Keywords : Artificial Intelligence AI ; Supply Chain Resilience; Construction Equipment Industry; Disruptions; Agility; Redundancy;

    Abstract : Abstract  Date: 2023-05-30 Level: Master thesis in Business Administration, 15 cr  Institution: School of Business, Society and Engineering, Mälardalen University  Authors: Ramak Amyari Khamneh (84/01/29), Aymen Safi (00/03/27) Title: Artificial Intelligence as a Catalyst for Supply Chain Resilience: A Qualitative Study Comparing Scania and Volvo in the Construction Equipment Industry Supervisor: Emre Yildiz Keywords: Artificial Intelligence (AI), Supply Chain Resilience, Construction Equipment Industry, Disruptions, Agility, Redundancy Research question: How do Scania and Volvo interpret and implement Artificial Intelligence (AI) technologies to enhance supply chain resilience and mitigate disruptions in the construction equipment industry? Purpose: The purpose of this master thesis is to investigate how Scania and Volvo interpret and implement AI technologies to enhance supply chain resilience and mitigate disruptions in the construction equipment industry. Method: Qualitative Conclusion: The conclusion of the master thesis is that Scania and Volvo have successfully implemented AI technologies to enhance supply chain resilience in the construction equipment industry, despite challenges, and see AI as a critical component for future supply chain strategies. READ MORE