Challenges with Scaling Data Analysis

One of the primary challenges in organizations is the inability to ask new questions about data without human intervention, leading to scalability issues. Many organizations have accepted the limitation that people cannot inquire about their data and rely on hard-coded information meant for general use. This status quo is prevalent due to the historical impossibility of allowing data queries until the advent of large language models. Another significant issue highlighted is the duplication of work within teams, where multiple individuals ask the same questions independently, leading to inefficiencies and time wastage. Moreover, accessing previously asked questions can also pose a scalability challenge, emphasizing the need for improved software solutions beyond large language models.