Essays about: "master thesis in Business Intelligence"

Showing result 1 - 5 of 26 essays containing the words master thesis in Business Intelligence.

1. 1. How Venture Capital Could Use Large Language Models to Screen Sustainability Impact Startups

   University essay from Lunds universitet/Miljö- och energisystem

   Author : Måns Vilhelm Tivenius; Karl-Gustav Elf; [2023]
   Keywords : Large Language Models; Venture Capital; Impact Investing; Prompt Engineering; GPT-4; ChatGPT; Impact; Sustainability; Artificial Intelligence; Startup success; Impact startup; Impact measurement; Screening; AI for good; Technology and Engineering;

   Abstract : This study investigates the potential of large language models (LLMs), such as ChatGPT, to aid venture capitalists in the screening of startups that maximize sustainability impact. To determine the scope that maximizes impact for venture capitalists' and to identify effective screening criteria, the study utilized theoretical research and interviews. READ MORE

3. 2. 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. 3. 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

5. 4. Judgment and Data-Driven Decision Making : A scoping meta-review and bibliometric analysis of the implementations of data-driven approaches to judgment and decision making and across other fields of research

   University essay from Linnéuniversitetet/Institutionen för psykologi (PSY)

   Author : Natalie Hyltse; [2023]
   Keywords : scoping review; meta-review; bibliometrics; interdisciplinary research; judgment and decision making JDM ; data-driven decision making DDDM ;

   Abstract : Data-driven approaches to decision making are today applied far and wide. With origins in the field of judgment and decision making (JDM), data-driven decision making (DDDM) has become an emergent topic within I-O psychology, especially within the fields of people analytics and human resource analytics. READ MORE

6. 5. Exploring the Feasibility of Replicating SPAN-Model's Required Initial Margin Calculations using Machine Learning : A Master Thesis Project for Intraday Margin Call Investigation in the Commodities Market

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Clara Branestam; Amanda Sandgren; [2023]
   Keywords : Machine Learning; Market Risk; Initial Margin; SPAN-model; Central Counterparty Clearing; Margin Call;

   Abstract : Machine learning is a rapidly growing field within artificial intelligence that an increasing number of individuals and corporations are beginning to utilize. In recent times, the financial sector has also started to recognize the potential of these techniques and methods. READ MORE