BMC Software had four patents in artificial intelligence during Q1 2024. BMC Software Inc’s patent filed in Q1 2024 focuses on determining causal associations between events in an IT landscape without manual tuning. This allows for the identification of active occurrences, root causes, analysis of effects, prediction of future events, and prevention of undesired outcomes in complex interconnected systems. GlobalData’s report on BMC Software gives a 360-degree view of the company including its patenting strategy. Buy the report here.
BMC Software grant share with artificial intelligence as a theme is 75% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Recommendations for remedial actions (Patent ID: US20240095117A1)
The patent filed by BMC Software Inc. describes systems and techniques for determining causal associations between events in an information technology landscape. By identifying causal event clusters without manual tuning, the technology can pinpoint root causes, analyze effects, predict future events, and prevent undesired outcomes in complex interconnected systems. The method involves receiving source alarms and target remedial actions, extracting features from event graphs, processing these features using a remedial action recommendation (RAR) model trained on previous data, and outputting ranked recommended remedial actions to a user interface for selection and implementation.
The computer-implemented method includes features like providing a confidence value for recommended actions, incorporating implicit feedback such as positive and negative reinforcement based on the outcomes of target remedial actions, and receiving feedback without manual intervention. The system, comprising at least one processor and a non-transitory computer-readable medium, implements a remediation generator that follows a similar process of receiving, extracting, processing, and outputting recommended remedial actions. The technology aims to streamline the identification and response to active occurrences in IT systems, enhancing efficiency and effectiveness in managing complex and dispersed environments.
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