Abstract
In this series of articles by the Finance Vertical, we explore the transformative role of Artificial Intelligence (AI) in predictive analysis across various sectors, emphasizing its methodologies, applications, and associated challenges.
The first article, by Yash Aryan, delves into the foundational aspects of predictive analysis, explaining how AI enhances decision-making through data-driven insights. It outlines key components such as data collection, model selection, and the importance of continuous learning in improving prediction accuracy.
The second article, authored by Sumati Gauniyal and colleagues, focuses on the integration of AI in finance, highlighting its impact on credit risk assessment and market trend predictions. This piece discusses the evolution from traditional methods to AI-driven approaches that enhance accuracy and efficiency in financial decision-making.

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