The combination of Artificial Intelligence (AI) and Machine Learning (ML) has transformed the banking sector, changing old processes and decision-making methodologies. This chapter covers the emergence of AI and ML technologies within financial markets, showing their revolutionary impact on...

Current methods rely on inaccurate domain-specific dictionaries for the difficult task of emotion extraction from financial documents. This research offers a new perspective on Financial Sentiment Analysis (FSA) by integrating monetary and non-monetary metrics for success. Using grammar-based...

The financial services industry is undergoing a significant transformation driven by advancements in artificial intelligence (AI). This chapter explores the multifaceted impact of AI on financial services, highlighting its potential to enhance efficiency, accuracy, and customer experience while...

The task of fraud detection within the financial industry is relevant now mainly because the types and rates of fraud-related cases have changed. It is noted that simple manual checks and implementation of a standard set of rules and familiar static detection techniques cannot identify such...

AI's ability to improve consumer connections has transformed the finance sector in recent years. AI's uses, advantages, and drawbacks in financial customer relations are examined in this chapter. We examine how AI-powered chatbots, virtual assistants, and machine learning algorithms can...

The study utilized two machine learning (ML) techniques namely Random Forest (RF) and Support Vector Machines (SVM) with the aim of understanding the implications of missing data on RF and SVM's ability in forecasting accuracy. The study employed a time series data sourced from South African...

This chapter examines the transformative role of artificial intelligence (AI) across various sectors, focusing on its impact on financial decision-making, business analytics, and risk management. It highlights how AI technologies, such as machine learning and predictive modeling, are enhancing...

The application of artificial intelligence (AI) and its foundational machine learning techniques is revolutionizing and is already changing the way we think about financial risk management. The rise of AI-driven solutions has opened opportunities for anyone involved in understanding and managing...

This chapter delves into the significant impact that Artificial Intelligence (AI) is having on customer relations, with a focus on how AI technologies are revolutionizing customer engagement and improving the overall customer experience. It offers a comprehensive look at various AI tools,...

The study compares staff retention strategies used in the banking and insurance sectors. Employers use employee retention as a technique to keep talented and skilled individuals in their firm and lower the cost of employee turnover. Employee happiness is one of the crucial elements that aids any...