Real-time Prediction and Explanation of Sequences of Abnormal Events
This patent describes a cutting-edge platform designed to predict and explain abnormal sequences in real-time, providing deeper insights into data anomalies. The system can be applied to a wide range of sectors, including financial services, healthcare, and security, where identifying and understanding unusual events is critical.
By leveraging real-time data analytics and machine learning, this platform predicts potential risks or abnormal behaviors and generates explanations to help users understand these occurrences. This transparency supports more informed decision-making and enhances the ability to mitigate risks promptly.
The patented system not only flags anomalies but also explains the underlying causes, offering both predictive and interpretive capabilities to better navigate complex data environments.