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Application Of Big Data Technology, Text Classification, And Azure Machine Learning For Financial Risk Management Using Data Science Methodology, Oluwaseyi A. Ijogun
Application Of Big Data Technology, Text Classification, And Azure Machine Learning For Financial Risk Management Using Data Science Methodology, Oluwaseyi A. Ijogun
Electronic Theses and Dissertations
Data science plays a crucial role in enabling organizations to optimize data-driven opportunities within financial risk management. It involves identifying, assessing, and mitigating risks, ultimately safeguarding investments, reducing uncertainty, ensuring regulatory compliance, enhancing decision-making, and fostering long-term sustainability. This thesis explores three facets of Data Science projects: enhancing customer understanding, fraud prevention, and predictive analysis, with the goal of improving existing tools and enabling more informed decision-making. The first project examined leveraged big data technologies, such as Hadoop and Spark, to enhance financial risk management by accurately predicting loan defaulters and their repayment likelihood. In the second project, we investigated …
Studying The Executive Perception Of Investment In Intelligent Systems And The Effect On Firm Performance, Noel Romesh Wijesinha
Studying The Executive Perception Of Investment In Intelligent Systems And The Effect On Firm Performance, Noel Romesh Wijesinha
FIU Electronic Theses and Dissertations
This research was conducted to examine the relationship between investment in intelligent systems resources and capabilities (based on artificial intelligence and machine learning algorithms) and the effect on company performance. Despite existing research on the benefits of adopting intelligent systems, companies have been slow to adopt as there is lack of research on intelligent systems use cases that will increase firm performance. This research study used resource-based view (RBV) and dynamic capabilities (DCF) theory to investigate firms’ investment in intelligent systems resources that build intelligent systems capabilities and the association to organization performance dimensions, revenue and profits. To answer this …
Cloud-Based Machine Learning And Sentiment Analysis, Emmanuel C. Opara
Cloud-Based Machine Learning And Sentiment Analysis, Emmanuel C. Opara
Electronic Theses and Dissertations
The role of a Data Scientist is becoming increasingly ubiquitous as companies and institutions see the need to gain additional insights and information from data to make better decisions to improve the quality-of-service delivery to customers. This thesis document contains three aspects of data science projects aimed at improving tools and techniques used in analyzing and evaluating data. The first research study involved the use of a standard cybersecurity dataset and cloud-based auto-machine learning algorithms were applied to detect vulnerabilities in the network traffic data. The performance of the algorithms was measured and compared using standard evaluation metrics. The second …
Artificial Intelligence In Retailing, Ibrahim Kircova, Munise Hayrun Saglam, Sirin Gizem Kose
Artificial Intelligence In Retailing, Ibrahim Kircova, Munise Hayrun Saglam, Sirin Gizem Kose
University of South Florida (USF) M3 Publishing
Advances in Artificial Intelligence and Machine Learning technologies have brought a completely new level of data processing that provides deeper business insights. Purchasing advice, dynamic pricing, personal content and advice have become widely used in the retail industry thanks to artificial intelligence. Almost real-time results can be achieved by expanding the scope of data obtained from existing customers and algorithms that mimic human-like behavior. In addition, interactions with machines are more widely accepted than before, allowing consumers to accept innovations faster and thus increase brand loyalty. On the other hand, the success of artificial intelligence, which will change the future …