Data Narratives Using AI: A Framework for Automated Insight Storytelling/strong>
Authors:-Soundhar B, Associate Professor Dr S R Raja
Abstract-In today’s data-driven world, organizations are faced with an ever-growing volume of raw data that often requires sophisticated analysis to extract meaningful insights. However, the complexity of these insights can make it difficult for decision-makers, especially non-experts, to understand and act on the information. This paper proposes a novel framework that leverages Artificial Intelligence (AI) to automatically generate data narratives, transforming raw data into human-readable insights. The framework integrates data preprocessing, advanced AI techniques, and natural language processing (NLP) models to construct compelling and insightful narratives. We present a detailed methodology, including the use of clustering, trend analysis, and regression models to extract key insights from diverse data sources. The generated narratives are tested on multiple datasets, demonstrating their effectiveness in conveying actionable insights in an easily understandable format. Our results show that AI-generated data stories not only provide clarity and context but also enhance decision-making processes across various industries. Future work will focus on enhancing the framework’s adaptability to real-time data and improving narrative customization for different stakeholders.
