Abstract: Improved techniques are disclosed for permitting a user to employ more human-based grammar (i.e., free form or conversational input) while addressing a target system via a voice system. For example, a technique for determining intent associated with a spoken utterance of a user comprises the following steps/operations. Decoded speech uttered by the user is obtained. An intent is then extracted from the decoded speech uttered by the user. The intent is extracted in an iterative manner such that a first class is determined after a first iteration and a sub-class of the first class is determined after a second iteration. The first class and the sub-class of the first class are hierarchically indicative of the intent of the user, e.g., a target and data that may be associated with the target. The multi-stage intent extraction approach may have more than two iterations.

Abstract: An approach for replicating data is provided. A job that modifies data objects in a first system to generate a first set of changed data objects is determined to be a candidate for a job replication. Based on the job being a candidate for job replication, attributes of the job are retrieved, the retrieved attributes are sent to a second system, and an execution of the job by the second system is initiated as part of the job replication. The execution of the job causes data objects included in the second system to be modified to generate a second set of changed data objects as a replication of the first set of changed data objects.

Abstract: A method, an apparatus and an article of manufacture for detecting an event storm in a networked environment. The method includes receiving a plurality of events via a plurality of probes in a networked environment, each of the plurality of probes monitoring a monitored information technology (IT) element, aggregating the plurality of events received into an event set, and correlating the plurality of events in the event set to determine whether the plurality of events are part of an event storm by determining if the plurality of events in the event set meet one or more event storm criteria.

Abstract: A mechanism is provided for handling incidents occurring in a managed environment. An incident is detected in a resource in the managed environment. A set of incident handling actions are identified based on incident handling rules for an incident type of the incident. From the set of incident handling actions, one incident handling action is identified to be executed based on a set of impact indicators associated with the set of incident handling rules. The identified incident handling action is then executed to address the failure of the resource.

Abstract: A mechanism is provided for handling incidents occurring in a managed environment. An incident is detected in a resource in the managed environment. A set of incident handling actions are identified based on incident handling rules for an incident type of the incident. From the set of incident handling actions, one incident handling action is identified to be executed based on a set of impact indicators associated with the set of incident handling rules. The identified incident handling action is then executed to address the failure of the resource.

Abstract: A scalable and fault tolerant finite state machine engine, for example, for use in an automated incident management system, logs or records data in persistent storage at different points or levels during various internal processing of an event associated with an information technology element, and action taken associated with the event, by executing a finite state machine instance that encodes policies for handling incidents on such types of information technology elements. In the event that the finite state machine engine is shutdown during processing, the finite state machine engine is able to pick up from where it left off when it was shutdown, for each abnormally terminated finite state machine instance, by using the data logged in the persistent storage and determining a point of processing from where it should continue its execution.

Abstract: Improved techniques are disclosed for permitting a user to employ more human-based grammar (i.e., free form or conversational input) while addressing a target system via a voice system. For example, a technique for determining intent associated with a spoken utterance of a user comprises the following steps/operations. Decoded speech uttered by the user is obtained. An intent is then extracted from the decoded speech uttered by the user. The intent is extracted in an iterative manner such that a first class is determined after a first iteration and a sub-class of the first class is determined after a second iteration. The first class and the sub-class of the first class are hierarchically indicative of the intent of the user, e.g., a target and data that may be associated with the target.

Abstract: A scalable and fault tolerant finite state machine engine, for example, for use in an automated incident management system, logs or records data in persistent storage at different points or levels during various internal processing of an event associated with an information technology element, and action taken associated with the event, by executing a finite state machine instance that encodes policies for handling incidents on such types of information technology elements. In the event that the finite state machine engine is shutdown during processing, the finite state machine engine is able to pick up from where it left off when it was shutdown, for each abnormally terminated finite state machine instance, by using the data logged in the persistent storage and determining a point of processing from where it should continue its execution.

Abstract: An approach for replicating data is provided. A job that modifies data objects in a first system to generate a first set of changed data objects is determined to be a candidate for a job replication. Based on the job being a candidate for job replication, attributes of the job are retrieved, the retrieved attributes are sent to a second system, and an execution of the job by the second system is initiated as part of the job replication. The execution of the job causes data objects included in the second system to be modified to generate a second set of changed data objects as a replication of the first set of changed data objects.

Abstract: A distributed, self-organizing environment conditioning system with adaptive and learning behaviors that provide localized and targeted climate conditioning such as, but not limited to, temperature and humidity control in indoor and outdoor settings and more particularly, to extensible networked multi-modal autonomous systems of heating units working together to efficiently target objects for selective environmental control.

Abstract: A method of automating patching of a computer system includes determining whether a computer patch is available for a computer system of a customer, determining a patch management policy of the customer, determining a patch window of the customer based on the determined patch management policy, and directing application of the computer patch to the computer system at the determined patch window.

Abstract: A method, an apparatus and an article of manufacture for automated validation of compliance in a cloud server. The method includes remotely accessing a target cloud server to discover at least one configuration setting of the target cloud server, integrating the at least one configuration setting from the target cloud server with information from at least one back-end tool to produce compliance evidence, and automatically answering a set of at least one checklist question for activation compliance validation of the target cloud server based on the compliance evidence.

Abstract: A machine, system and method for user-guided teaching and modifications of voice commands and actions to be executed by a conversational learning system. The machine includes a system bus for communicating data and control signals received from the conversational learning system to a computer system, a vehicle data and control bus for connecting devices and sensors in the machine, a bridge module for connecting the vehicle data and control bus to the system bus, machine subsystems coupled to the vehicle data and control bus having a respective user interface for receiving a voice command or input signal from a user, a memory coupled to the system bus for storing action command sequences learned for a new voice command and a processing unit coupled to the system bus for automatically executing the action command sequences learned when the new voice command is spoken.

Abstract: In a voice processing system, a multimodal request is received from a plurality of modality input devices, and the requested application is run to provide a user with the feedback of the multimodal request. In the voice processing system, a multimodal aggregating unit is provided which receives a multimodal input from a plurality of modality input devices, and provides an aggregated result to an application control based on the interpretation of the interaction ergonomics of the multimodal input within the temporal constraints of the multimodal input. Thus, the multimodal input from the user is recognized within a temporal window. Interpretation of the interaction ergonomics of the multimodal input include interpretation of interaction biometrics and interaction mechani-metrics, wherein the interaction input of at least one modality may be used to bring meaning to at least one other input of another modality.

Abstract: In a voice processing system, a multimodal request is received from a plurality of modality input devices, and the requested application is run to provide a user with the feedback of the multimodal request. In the voice processing system, a multimodal aggregating unit is provided which receives a multimodal input from a plurality of modality input devices, and provides an aggregated result to an application control based on the interpretation of the interaction ergonomics of the multimodal input within the temporal constraints of the multimodal input. Thus, the multimodal input from the user is recognized within a temporal window. Interpretation of the interaction ergonomics of the multimodal input include interpretation of interaction biometrics and interaction mechani-metrics, wherein the interaction input of at least one modality may be used to bring meaning to at least one other input of another modality.

Abstract: In a voice processing system, a multimodal request is received from a plurality of modality input devices, and the requested application is run to provide a user with the feedback of the multimodal request. In the voice processing system, a multimodal aggregating unit is provided which receives a multimodal input from a plurality of modality input devices, and provides an aggregated result to an application control based on the interpretation of the interaction ergonomics of the multimodal input within the temporal constraints of the multimodal input. Thus, the multimodal input from the user is recognized within a temporal window. Interpretation of the interaction ergonomics of the multimodal input include interpretation of interaction biometrics and interaction mechani-metrics, wherein the interaction input of at least one modality may be used to bring meaning to at least one other input of another modality.

Abstract: Improved techniques are disclosed for permitting a user to employ more human-based grammar (i.e., free form or conversational input) while addressing a target system via a voice system. For example, a technique for determining intent associated with a spoken utterance of a user comprises the following steps/operations. Decoded speech uttered by the user is obtained. An intent is then extracted from the decoded speech uttered by the user. The intent is extracted in an iterative manner such that a first class is determined after a first iteration and a sub-class of the first class is determined after a second iteration. The first class and the sub-class of the first class are hierarchically indicative of the intent of the user, e.g., a target and data that may be associated with the target.

Abstract: Techniques for enabling monitoring across one or more domains are provided. The techniques include identifying information technology resources across one or more domains, collecting information technology dependency information relating to the information technology resources identified across one or more domains, collecting monitoring data from the information technology resources identified across one or more domains, and using the dependency information to aggregate the monitoring data into one or more pre-determined metrics.

Abstract: A scalable and fault tolerant finite state machine engine, for example, for use in an automated incident management system, logs or records data in persistent storage at different points or levels during various internal processing of an event associated with an information technology element, and action taken associated with the event, by executing a finite state machine instance that encodes policies for handling incidents on such types of information technology elements. In the event that the finite state machine engine is shutdown during processing, the finite state machine engine is able to pick up from where it left off when it was shutdown, for each abnormally terminated finite state machine instance, by using the data logged in the persistent storage and determining a point of processing from where it should continue its execution.

Abstract: Techniques for enabling monitoring across one or more domains are provided. The techniques include identifying information technology resources across one or more domains, collecting information technology dependency information relating to the information technology resources identified across one or more domains, collecting monitoring data from the information technology resources identified across one or more domains, and using the dependency information to aggregate the monitoring data into one or more pre-determined metrics.