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Viitteet 11-20 / 23
How can financial institutions more efficiently prevent credit-card fraud and AML using AI and machine learning technologies?
(2021)
As society and payments are getting increasingly digitized and most of financial transactions are done by credit-card or wire-transfer, the focus on financial crime, fraud and Anti-Money Laundering is becoming a focus point ...
Enhancing Customer feedback processing with Machine Learning in Microsoft Azure
(2022)
Text Classification and Natural Language Processing (NLP) is developing fast, and all the applications are rapidly evolving, GPT-3 emerged in the field just last year and there are some open-source options in the field, ...
Intelligent Automation in Journalism: Are newsrooms ready to let machines write our news?
(2022)
The advancements in readily available structured data, artificial intelligence and automation tools have led to newsrooms exploring the possibility of creating news articles automatically. Sports, finance, politics and ...
Service Robots in Hospitality Industry: processes analysis of restaurants with full table service in Helsinki.
(2021)
Companies from various economic sectors use robots to enhance operational processes, optimize their costs, create customer experience, and expand their service capacity. Processes are the core of businesses. Therefore by ...
Open-source dog breed identification using CNN: explanation of the development & underlying technological specifications
(2023)
This thesis aims to develop a deep learning model that uses the Fast.ai library and transfer learning to create a convolutional neural network model. The model will identify dog breeds in digital images and evaluate the ...
Control of Robots
(2023)
The efficiency of modern manufacturing relies on industrial robots which are programmed to perform a number of different tasks that were previously done by humans. This thesis explores the possibilities of control of robots, ...
Explainability of time series models
(2022)
The lack of interpretability of machine learning models is a drawback of their use. To better understand how the model works, how data affects its performance, how the model could be improved, and to gain trust in the ...
Car sales analysis in the Nordic Countries
(2023)
Sales forecasting is an essential component of business intelligence and, artificial intelligence and predictive analytics are now essential tools for companies to predict market trends and forecast sales volumes.
In ...
Transformative ability of Artificial Intelligence in Risk Management
(2024)
This research paper critically assesses how Artificial Intelligence (AI) is changing the way risk management is conducted. By using AI technologies companies can go beyond risk management approaches improving their ability ...
The Potential Benefits and Challenges of Adopting AI-tools such as ChatGPT in Marketing Communications and Search Engine Optimization
(2024)
This thesis explores the potential benefits and challenges of integrating AI-tools such as ChatGPT into marketing communications and search engine optimization (SEO), addressing the increasing importance of AI-driven tools ...









