In this era of Big Data and the advancement of sophisticated analytical techniques, the
financial industry has the capacity to implement innovative technologies within their systems …

Explainable artificial intelligence (XAI) is crucial for enhancing transparency and trust in
machine learning models, especially for tabular data used in finance, healthcare, and …

In the realm of understanding consumer purchasing behaviors and refining decision-making
across diverse sectors, Market Basket Analysis (MBA) emerges as a pivotal technique …

This study explores the transformative role of Explainable Artificial Intelligence (XAI) in e-
commerce, focusing on its potential to enhance consumer trust, transparency, and regulatory …

Consumer segmentation is a very effective methodology that could enable organizations to
gain a deeper comprehension of their consumer base and customize their tactics …

Navigating the world with visual impairments presents unique challenges, often limiting
independence and safety. This research introduces SafeStride, a novel algorithm designed …

The goal of this study is to look at how the convergence of IoT and XAI (IoT-XAI) effects the
explanation, prediction, and decision-making on customer perceived value (CPV) in SMEs …

Effective and well-structured customer segmentation enables organizations to accurately
identify and comprehend the distinct characteristics and needs of various customer groups …

In today's competitive global market, personalized marketing is crucial for businesses aiming
to engage diverse audiences effectively. This study examines the potential of AI-driven …

Data-driven marketing (DDM) is a marketing approach using AI technologies to optimize
marketing activities intended to deliver value to customers. It involves collecting and …