Challenge
The company faced the challenge of making vast amounts of production data efficient and accessible. Staff needed to quickly access this data to make informed decisions. Traditional methods, such as complex SQL queries, were too time-consuming and required specialized knowledge of database structures. A solution was necessary to simplify this process while increasing efficiency.
Approach
The approach focused on developing a personalized chatbot assistant that interacts with users in natural language. Using generative AI, a system was created that can access massive SQL databases and provide relevant information. By integrating self-learning algorithms, the system can continuously improve and adapt to user needs. Implementation included processing expert schemas and metadata to ensure the accuracy and relevance of retrieved data.
Results
The result was a revolutionary database assistant that enables production staff to access vital information in real-time. The generative AI allows complex data in terabyte size to be processed and relevant answers delivered in an understandable form. Users benefit from a system that continuously adapts to their needs, significantly improving efficiency and decision-making.