Abstract: A method, computer program product, and computer system for identifying social engineering activity associated with at least one of a first communication and a second communication based upon, at least in part, correlation to a predetermined rule. Characteristics of the communications are compared to the predetermined rule to determine if there is a correlation.

Abstract: A computer-implemented method for analysis of data from multiple data sources and a computing system therefor is provided. The method includes receiving a query instance. The query instance may be processed to generate one or more relational query instances based, at least in part, on the query instance. The generated one or more relational query instances may be distributed among one or more nodes. Each of the generated one or more relational query instances may be processed by at least one node of the one or more nodes to extract data from at least one data source of multiple data sources in communication therewith corresponding to the one or more relational query instances. One or more insights may be generated based on the extracted data. The one or more insights generated may be stored in relevant cache to be retrieved therefrom.

Abstract: To simplify assisting a user in their day-to-day activities, a communication for performing an action may be sent to a user in the form of a query, where the query includes the most likely set of choices for the action arranged in a group of dichotomous (e.g., yes/no) or multiple choice answers. In this manner, a user may respond to the query by simply selecting one of the dichotomous or multiple choice answers. Historical logs of past actions, responses, queries, and so forth, may be used to predict future user actions or needs, and to formulate future queries for sending to the user. These techniques may be implemented, for example, through a remote coordination server or directly through a user's personal electronics device.

Abstract: A method, computer program product, and computer system identifying intent relating to a query associated with an object. A plurality of informational items associated with the object may be identified. At least a first informational item associated with the object for which a first portion of information is already known may be identified. At least a second informational item associated with the object for which a second portion of information is unknown may be identified. A question may be generated to determine the second portion of information based upon the second portion of information being unknown. An answer may be received to determine the second portion of information. A response to the intent relating to the query may be provided based upon the first informational item for which the first portion of information is already known and the answer for the question generated to determine the second portion of information.

Abstract: A method and speech processing system for communicating with a user is provided. A speech signal may be received. The received speech signal may be processed by a first unified neural network to extract one or more of intents and entities. The one or more of intents and entities may be analyzed to generate a dialogue response. A second unified neural network may generate a speech output corresponding to the dialogue response for the user. In another example, a single unified neural network may process the received speech signal to extract one or more of intents and entities. The one or more of intents and entities may be analyzed, by the single unified neural network, to generate a dialogue response. The single unified neural network may generate a speech output corresponding to the dialogue response for the user.

Abstract: A computing system for querying multiple data sources and method therefor is provided. The computing system may comprise one or more nodes in communication with at least one data source of the multiple data sources to access data therefrom. The computing system may further comprise a second node in communication with the one or more nodes. The second node may be configured to receive a query instance and process the query instance to generate one or more relational query instances. The one or more relational query instances may be distributed among the nodes to extract data from the at least one data source in communication therewith corresponding to the respective one or more relational query instances. The second node may be further configured to receive extracted data from each of the one or more nodes queried. The second node may be further configured to aggregate the extracted data.

Abstract: A computer-implemented method for analysis of data from multiple data sources and a computing system therefor is provided. The method includes receiving a query instance. The query instance may be processed to generate one or more relational query instances based, at least in part, on the query instance. The generated one or more relational query instances may be distributed among one or more nodes. Each of the generated one or more relational query instances may be processed by at least one node of the one or more nodes to extract data from at least one data source of multiple data sources in communication therewith corresponding to the one or more relational query instances. One or more insights may be generated based on the extracted data. The one or more insights generated may be stored in relevant cache to be retrieved therefrom.

Abstract: A method, computer program product, and computer system identifying intent relating to a query associated with an object. A plurality of informational items associated with the object may be identified. At least a first informational item associated with the object for which a first portion of information is already known may be identified. At least a second informational item associated with the object for which a second portion of information is unknown may be identified. A question may be generated to determine the second portion of information based upon the second portion of information being unknown. An answer may be received to determine the second portion of information. A response to the intent relating to the query may be provided based upon the first informational item for which the first portion of information is already known and the answer for the question generated to determine the second portion of information.

Abstract: To simplify assisting a user in their day-to-day activities, a communication for performing an action may be sent to a user in the form of a query, where the query includes the most likely set of choices for the action arranged in a group of dichotomous (e.g., yes/no) or multiple choice answers. In this manner, a user may respond to the query by simply selecting one of the dichotomous or multiple choice answers. Historical logs of past actions, responses, queries, and so forth, may be used to predict future user actions or needs, and to formulate future queries for sending to the user. These techniques may be implemented, for example, through a remote coordination server or directly through a user's personal electronics device.

Abstract: A method, computer program product, and virtual agent system for an organization. The virtual agent system may include one or more processors and one or more memories configured to perform operations. The operations may include loading at least one model related to one or more processes of the organization where the model may be based on the structure information and one or more of procedures and protocols related to the organization. A process request, related to the at least one or more processes of the organization, from a user of the organization, may be received and analyzed.

Abstract: A method, computer program product, and computer system for building a custom model, performed by one or more computing devices, may include but is not limited to registering at least one module. A request may be received from a user application. A request queue may be filled with request information related to the request. The at least one module may be triggered based on the request information. At least part of the request may be processed based on data assets related to the request. A custom model may be built based on, at least in part, the processing of the at least part of the request.

Abstract: A technique improves training and speech quality of a text-to-speech (TTS) system having an artificial intelligence, such as a neural network. The TTS system is organized as a front-end subsystem and a back-end subsystem. The front-end subsystem is configured to provide analysis and conversion of text into input vectors, each having at least a base frequency, f0, a phenome duration, and a phoneme sequence that is processed by a signal generation unit of the back-end subsystem. The signal generation unit includes the neural network interacting with a pre-existing knowledgebase of phenomes to generate audible speech from the input vectors. The technique applies an error signal from the neural network to correct imperfections of the pre-existing knowledgebase of phenomes to generate audible speech signals. A back-end training system is configured to train the signal generation unit by applying psychoacoustic principles to improve quality of the generated audible speech signal.

Abstract: A method, computer program product, and computer system for text-to-speech synthesis is disclosed. Synthetic speech data for an input text may be generated. The synthetic speech data may be compared to recorded reference speech data corresponding to the input text. Based on, at least in part, the comparison of the synthetic speech data to the recorded reference speech data, at least one feature indicative of at least one difference between the synthetic speech data and the recorded reference speech data may be extracted. A speech gap filling model may be generated based on, at least in part, the at least one feature extracted. A speech output may be generated based on, at least in part, the speech gap filling model.

Abstract: A computing system for querying multiple data sources and a method therefor is provided. The computing system may comprise one or more nodes in communication with at least one data source of the multiple data sources to access data therefrom. The computing system may further comprise a second node in communication with the one or more nodes. The second node may be configured to receive a query instance and process the query instance to generate one or more relational query instances. The one or more relational query instances may be distributed among the one or more nodes to extract data from the at least one data source in communication therewith corresponding to the respective one or more relational query instances. The second node may be further configured to receive extracted data from each of the one or more nodes queried. The second node may be further configured to aggregate the extracted data.

Abstract: A method, computer program product, and computer system for text-to-speech synthesis is disclosed. Synthetic speech data for an input text may be generated. The synthetic speech data may be compared to recorded reference speech data corresponding to the input text. Based on, at least in part, the comparison of the synthetic speech data to the recorded reference speech data, at least one feature indicative of at least one difference between the synthetic speech data and the recorded reference speech data may be extracted. A speech gap filling model may be generated based on, at least in part, the at least one feature extracted. A speech output may be generated based on, at least in part, the speech gap filling model.

Abstract: A method, computer program product, and computer system for identifying social engineering activity associated with at least one of a first communication and a second communication based upon, at least in part, correlation to a predetermined rule. Characteristics of the communications are compared to the predetermined rule to determine if there is a correlation.

Abstract: An omni-channel, intelligent, proactive virtual agent system and method of use are provided by which a user may engage in a conversation with the agent to interact with structured and unstructured data of an enterprise that is stored in a domain-specific world model for the enterprise.

Abstract: A method, computer program product, and computer system identifying, by a computing device, an intent relating to a query associated with an object. A plurality of informational items associated with the object may be identified. At least a first informational item of the plurality of informational items associated with the object for which a first portion of information is already known may be identified. At least a second informational item of the plurality of informational items associated with the object for which a second portion of information is unknown may be identified. A question may be generated to determine the second portion of information based upon, at least in part, the second portion of information being unknown. An answer may be received for the question generated to determine the second portion of information.

Abstract: A method, computer program product, and computer system for text-to-speech synthesis is disclosed. Synthetic speech data for an input text may be generated. The synthetic speech data may be compared to recorded reference speech data corresponding to the input text. Based on, at least in part, the comparison of the synthetic speech data to the recorded reference speech data, at least one feature indicative of at least one difference between the synthetic speech data and the recorded reference speech data may be extracted. A speech gap filling model may be generated based on, at least in part, the at least one feature extracted. A speech output may be generated based on, at least in part, the speech gap filling model.

Abstract: To simplify assisting a user in their day-to-day activities, a communication for performing an action may be sent to a user in the form of a query, where the query includes the most likely set of choices for the action arranged in a group of dichotomous (e.g., yes/no) or multiple choice answers. In this manner, a user may respond to the query by simply selecting one of the dichotomous or multiple choice answers. Historical logs of past actions, responses, queries, and so forth, may be used to predict future user actions or needs, and to formulate future queries for sending to the user. These techniques may be implemented, for example, through a remote coordination server or directly through a user's personal electronics device.