Abstract: Systems and methods use for preventing work accidents. In one implementation, a system may determine least one characteristic of a task scheduled to take place in an industrial environment. The system may use first synergy data from at least three types of safety-related information and the at least one characteristic of the task to determine that a predicted risk score of the scheduled task is below a first threshold. Thereafter, the system may obtain real-time information indicative of human error of at least one employee associated with the task. The system may use second synergy data from the at least three types of safety-related information and real-time information to determine that an actual risk score of the task has changed from the predicted risk score. When the actual risk score of the task is above a second threshold, the system may initiate a remedial action to prevent an accident.

Abstract: Systems and methods use for improving process safety. In one implementation, a system may determine least one characteristic of a task scheduled to take place in an industrial environment. The system may use first synergy data from at least three types of safety-related information and the at least one characteristic of the task to determine that a predicted risk score of the scheduled task is below a first threshold. Thereafter, the system may obtain real-time information indicative of the integrity of an industrial apparatus. The system may use second synergy data indicative of a change in the integrity of industrial apparatus and real-time information to determine that an actual risk score of the task has changed from the predicted risk score. When the actual risk score of the task is above a second threshold, the system may initiate a remedial action to manage a hazard associated with process safety.

Abstract: Systems and methods use for preventing work accidents. In one implementation, a system may determine least one characteristic of a task scheduled to take place in an industrial environment. The system may use first synergy data from at least three types of safety-related information and the at least one characteristic of the task to determine that a predicted risk score of the scheduled task is below a first threshold. Thereafter, the system may obtain real-time information indicative of human error of at least one employee associated with the task. The system may use second synergy data from the at least three types of safety-related information and real-time information to determine that an actual risk score of the task has changed from the predicted risk score. When the actual risk score of the task is above a second threshold, the system may initiate a remedial action to prevent an accident.

Abstract: Systems and methods use for improving process safety. In one implementation, a system may determine least one characteristic of a task scheduled to take place in an industrial environment. The system may use first synergy data from at least three types of safety-related information and the at least one characteristic of the task to determine that a predicted risk score of the scheduled task is below a first threshold. Thereafter, the system may obtain real-time information indicative of the integrity of an industrial apparatus. The system may use second synergy data indicative of a change in the integrity of industrial apparatus and real-time information to determine that an actual risk score of the task has changed from the predicted risk score. When the actual risk score of the task is above a second threshold, the system may initiate a remedial action to manage a hazard associated with process safety.

Abstract: Systems, methods and computer-readable storage media for natural language understanding in combination with real-time automated responses verification in conversation agent messaging are described.

Abstract: Systems, methods and computer-readable storage media for natural language understanding in combination with real-time automated humanized verification in conversation agent messaging are described.

Abstract: Systems, methods and computer-readable storage media for natural language understanding in combination with real-time automated humanized verification in conversation agent messaging are described.