Organizations today generate vast amounts of structured data, but many struggle to extract meaningful insights due to the complexity of analysis tools. The solution lies in developing a Generative AI (GenAI) system that interprets data from various sources, responds to natural language queries, and provides insightful summaries, pattern identification, and predictive analytics. This tool would make advanced data analysis accessible, empowering non-technical users to make data-driven decisions ac
Throughout the development of the GenAI system for interpreting structured data, we encountered several challenges. One of the primary difficulties was creating an AI capable of accurately understanding and responding to complex, multi-step natural language queries, especially across different domains. Integrating data from various sources, such as databases, spreadsheets, and APIs, presented issues related to consistency, format compatibility, and incomplete data. Additionally, ensuring scalabi
Discussion