Enhancing Predictive Models with Artificial Intelligence: A Comprehensive Study of Techniques and Applications in Data Analytics

Saitama Yuan, Genny Sameet

Abstract


This paper explores the advancements in Artificial Intelligence (AI) and its application in improving predictive models within data analytics. With the continuous growth of data in various sectors, traditional statistical models often struggle with handling the complexity and volume of modern datasets. This research examines several AI techniques such as Deep Learning, Neural Networks, and Support Vector Machines, comparing their effectiveness in solving predictive problems. The study highlights key developments in AI methodologies and proposes a framework for integrating AI-driven models into predictive analytics systems. Results show that AI-based methods outperform traditional approaches in accuracy, efficiency, and scalability.

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