Financial organizations that issue business loans or make long-term investments need to monitor the financial health of the companies with which they established strong financial ties. With billions of dollars at stake, they would like to receive immediate alerts about any signals that might have a negative impact on the financial health of their loan holders or investees. To achieve that, they need to ensure timely extraction of relevant business facts appearing daily in any of the thousands of credible news sources. The task is further complicated by the fact that negative signals can be diverse in nature, especially when one considers different industries. Due to the high volume of data that needs to be processed and the complexity of patterns to be monitored, this rules out any attempts to solve the task manually.

How it works

The solution works on collections of news documents received from an aggregator. It removes duplicate documents, runs sophisticated natural language processing on unique articles, and then extracts, interprets, and organizes facts of potential interest. Megaputer can provide a turn-key solution focused on following specified industries and extracting certain types of signals that indicate possible negative impacts. The end consumer of the results can evaluate the accuracy of the delivered results and provide feedback to help the system further improve its results over time.