BMC Software had three patents in artificial intelligence during Q2 2024. BMC Software Inc has developed systems and techniques for fast and accurate semantic classification of data, using minimal resources and dynamically improving over time. Additionally, they have created efficient and cost-effective methods for detecting anomalous behaviors of monitored objects, utilizing multiple hashing algorithms and machine learning models to identify anomalies with high accuracy. GlobalData’s report on BMC Software gives a 360-degree view of the company including its patenting strategy. Buy the report here.
BMC Software had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Semantic classification for data management (Patent ID: US20240111736A1)
The patent filed by BMC Software Inc. describes systems and techniques for efficient and accurate semantic classification of data. These systems are designed to use minimal resources while dynamically improving over time. The techniques involve accessing a semantic dictionary to associate semantic types with field value patterns and known field names, generating candidate field value patterns when necessary, and updating the semantic dictionary with new semantic types based on the classification results. The process involves determining matches between field values and patterns, associating semantic types with known field names, and validating the inclusion of new semantic types using machine learning models and data logs.
The computer program product, method, and system outlined in the patent aim to streamline the process of semantic classification by efficiently relating field values to patterns, generating candidate patterns, and updating the semantic dictionary with new types. By leveraging machine learning models and data logs, the systems ensure accurate classification while conserving resources. The techniques described in the patent enable the recognition of similar data with increasing efficiency over time, making semantic classification faster and more resource-effective with each iteration.
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