Challenge
Our client faced the challenge of extracting relevant events from extensive, unstructured reports from worldwide locations. These reports were written in various languages and were difficult to search through. There was a risk of missing crucial information, leading to inefficient business processes and delayed decision-making. A solution was necessary to optimize information retrieval and expedite business processes.
Approach
To address this problem, we developed a powerful search system capable of effectively identifying, organizing, and filtering these events. We created a dataset and trained a specialized multilingual AI for data retrieval. Data from various locations and languages were transferred into a harmonized database. Additionally, raw data was processed into a vector database to implement semantic search. This solution was seamlessly integrated into existing workflows.
Results
The implementation of this system resulted in significant optimization of information retrieval and processing. The company could now quickly and efficiently access relevant information, accelerating decision-making processes. The use of multilingual AI enabled the easy search of reports from different countries and in various languages, greatly enhancing global information exchange.