Abstract: Negotiating a multi-vehicle environment using vehicle-to-vehicle network tokens for intra-vehicle communication. Preliminary routing assignment are efficiently improved by available intra-vehicle communication.

Abstract: The customer experience is enhanced by detecting leakage-to-voice from chats and providing recommendations to operations, chat agents, and customers. A chat is classified into leakage-to-voice or leakage-to-text chat and actionable recommendations are then provided to operations, chat agents, and customers based on the leakage information. Once leakage is identified, various other insights are extracted from chats and such insights are fed into the knowledge-base. Such insights also used in agent training and are provided to chat agents as recommendations. This results in a better customer experience.

Abstract: Various embodiments are directed to a computer implemented method for determining a largest common series of statements from one or more sets of ordered statements. A most common statement in the one or more sets of ordered statements is determined. A first order most common sequential statement following each most common statement is determined. The most common statement and the first order most common sequential statement are stored in a data object as the largest common series.

Abstract: An IVR system is disclosed in which customer experience is enhanced by improving the accuracy and intent prediction capabilities of an interactive voice response system. Customers are allowed to make a natural language queries to specify their intent, while the accuracy of traditional IVR systems is maintained by using key features in language along with the customer's past transactions, CRM attributes, and customer segment attributes to identify customer intent.

Abstract: The customer experience is enhanced by detecting leakage-to-voice from chats and providing recommendations to operations, chat agents, and customers. A chat is classified into leakage-to-voice or leakage-to-text chat and actionable recommendations are then provided to operations, chat agents, and customers based on the leakage information. Once leakage is identified, various other insights are extracted from chats and such insights are fed into the knowledge-base. Such insights also used in agent training and are provided to chat agents as recommendations. This results in a better customer experience.

Abstract: An IVR system is disclosed in which customer experience is enhanced by improving the accuracy and intent prediction capabilities of an interactive voice response system. Customers are allowed to make a natural language queries to specify their intent, while the accuracy of traditional IVR systems is maintained by using key features in language along with the customer's past transactions, CRM attributes, and customer segment attributes to identify customer intent.

Abstract: A method for determining a common sequence of statements from one or more sets of ordered statements. A data object is created that has a first group of data entries, which is created from a first sequence of statements of a first set of statements. Each data entry defines a link between a source and destination statement from the first sequence. Data entries created from a second sequence of statements of a second set are added to the first group of data entries. Each data entry from the second sequence defines a link between a source statement and a destination statement from the second sequence. A second group of data entries is created, which is determined from the first group of data entries that have an equivalent source and destination statements. The second group of data entries is stored in a database as the common sequence of statements.

Abstract: Various embodiments are directed to a computer implemented method for determining a largest common series of statements from one or more sets of ordered statements. A most common statement in the one or more sets of ordered statements is determined. A first order most common sequential statement following each most common statement is determined. The most common statement and the first order most common sequential statement are stored in a data object as the largest common series.

Abstract: The customer experience is enhanced by detecting leakage-to-voice from chats and providing recommendations to operations, chat agents, and customers. A chat is classified into leakage-to-voice or leakage-to-text chat and actionable recommendations are then provided to operations, chat agents, and customers based on the leakage information. Once leakage is identified, various other insights are extracted from chats and such insights are fed into the knowledge-base. Such insights also used in agent training and are provided to chat agents as recommendations. This results in a better customer experience.

Abstract: A computer implemented method and an apparatus for facilitating voice user interface (VUI) design are provided. The method comprises identifying a plurality of user intentions from user interaction data. The method further comprises associating each user intention with at least one feature from among a plurality of features. One or more features from among the plurality of features are extracted from natural language utterances associated with the user interaction data. Further, the method comprises computing a plurality of distance metrics corresponding to pairs of user intentions from among the plurality of user intentions. A distance metric is computed for each pair of user intentions from among the pairs of user intentions. Furthermore, the method comprises generating a plurality of clusters based on the plurality of distance metrics. Each cluster comprises a set of user intentions. The method further comprises provisioning a VUI design recommendation based on the plurality of clusters.

Abstract: User interactions are categorized into predefined hierarchical categories by classifying user interactions, such as queries, during a user interaction session by labeling text data into predefined hierarchical categories, and building a scoring model. The scoring model is then executed on untagged user interaction data to classify the user interactions into either action-based or information-based interactions.

Abstract: Embodiments of the invention relate to chat and, more particularly, to determining an that is to be action taken based on the type of chat session. The resolution of the chat is categorized to decide the necessary steps taken and also to monitor the agent's performance. A chat filter extracts relevant portions of a chat session. The relevant factors are taken into consideration and scored based on the feature vectors. A model is built and the type of resolution is determined. An analysis of the chat session is then performed taking into consideration several factors.

Abstract: The customer experience is enhanced by detecting leakage-to-voice from chats and providing recommendations to operations, chat agents, and customers. A chat is classified into leakage-to-voice or leakage-to-text chat and actionable recommendations are then provided to operations, chat agents, and customers based on the leakage information. Once leakage is identified, various other insights are extracted from chats and such insights are fed into the knowledge-base. Such insights also used in agent training and are provided to chat agents as recommendations. This results in a better customer experience.

Abstract: A computing method and system is disclosed for analyzing interactions between a user and a customer support agent. Typical interactions include inquiries about a product or service, and a service call. When the user purchases a good or service, or successfully completes a service call, the customer converts, e.g. the sales pitch or service solution was successful. If the customer does not convert, then the interaction between user and agent is analyzed to determine why the user did not convert and whether the user should be categorized for potential retargeting.

Abstract: The stages of an interaction between a potential customer (the user) and a sales representative (the agent) during a sales interaction are identified to understand the interaction factors that drive sales and, by doing so, to serve the customer better and thus increase sales. Initially, a user makes contact with an agent via a communications network. During the interaction, a dropping point is reached, i.e. the point in the interaction at which either the user or the agent ends the interaction. The dropping point and other interaction factors is analyzed. Based upon such analysis, various recommendations are made to the agents to improve the user's sales experience.

Abstract: An IVR system is disclosed in which customer experience is enhanced by improving the accuracy and intent prediction capabilities of an interactive voice response system. Customers are allowed to make a natural language queries to specify their intent, while the accuracy of traditional IVR systems is maintained by using key features in language along with the customer's past transactions, CRM attributes, and customer segment attributes to identify customer intent.

Abstract: A method for use in operating one or more wind turbines is provided. An exception condition and, optionally, one or more parameters are received from a wind turbine controller. A correction is determined based at least in part on the exception condition and/or the parameters. The correction is applied, facilitating resolution of the exception condition. The method may be practiced for multiple wind turbine controllers, such as the wind turbine controllers within a site or the wind turbine controllers within multiple sites.

Abstract: A contactless charging system is presented. The contactless charging system includes an electrical outlet coupled to a power source and comprising a primary coil. An inlet on a vehicle comprising a dielectric region is disposed within a cavity. A secondary coil is disposed within the cavity and coupled to a storage module. A field focusing element is disposed proximate the dielectric region and configured to focus a magnetic field.

Abstract: A method for use in operating one or more wind turbines is provided. An exception condition and, optionally, one or more parameters are received from a wind turbine controller. A correction is determined based at least in part on the exception condition and/or the parameters. The correction is applied, facilitating resolution of the exception condition. The method may be practiced for multiple wind turbine controllers, such as the wind turbine controllers within a site or the wind turbine controllers within multiple sites.

Abstract: A method for monitoring a wind turbine is provided. An operating parameter, including a parameter value and a data quality value, is created by a controller. The parameter value is based on a signal received by the controller from a source. The data quality value indicates the source and/or a reliability of the parameter value. The operating parameter is processed based on the data quality value. Processing may include, for example, creating a graphical representation of the operating parameter or assigning a weight to the operating parameter for use in a calculation.