Augmented Analytics: Leveraging AI and Machine Learning for Enhanced Data Insights

Abstract

Augmented analytics is an emerging field that leverages artificial intelligence (AI) and machine learning (ML) to transform the landscape of data analysis.By automating complex data processing tasks, augmented analytics enables organizations to uncover deeper insights and make more informed decisions faster. This paper explores the foundational principles of augmented analytics, highlighting the key tools and techniques that drive its success. We discuss real-world applications in industries such as healthcare, finance, and retail, where augmented analytics has significantly enhanced decision-making processes. The benefits of augmented analytics include improved efficiency, accuracy, and the ability to handle vast amounts of data with minimal human intervention. Through detailed methodologies, pseudocode examples, and illustrative graphs, this paper aims to provide a comprehensive understanding of augmented analytics and its potential to revolutionize data-driven insights.