Abstract: The present invention discloses an adsorbent composition for removing halogen-containing contaminants such as hydrogen chloride from gas streams and a process for its formation. The adsorbent composition comprises an active metal component and a carrier or binder. The active metal component is selected from the group consisting of sodium, potassium, magnesium, calcium and barium and the carrier/binder is selected from a group of clay materials like sepiolite, montmorillonite, kaolin or attapulgite.

Abstract: Systems and methods for contextual natural language censoring are disclosed. For example, configuration data indicating details associated with content provided by a client device and/or about the client device may be received and may be utilized to determine impermissible and permissible exceptions for a given client. One or more queries may be generated utilizing the impermissible and permissible exceptions, and when input data is received from the client device and/or in association with the client identifier, the queries may be utilized to evaluate the input data for impermissible and permissible exceptions. The results may be filtered based on user preferences, the input data may be censored, the input data may be prevented from being exposed to a user device, the application associated with the input data may be removed from availability, and/or a maturity setting may be changed for the application, for example.

Abstract: Systems and methods for natural language processing policies are disclosed. For example, content such as a response to a user command and/or user input such as a customer review, may be analyzed to determine if the content deviates from one or more content policies and to determine a severity of the content-policy deviation(s). A system may determine a number of content-policy deviations associated with the content and whether the content includes an indicator of a person, such as a pronoun and/or a proper noun. Content that includes multiple content-policy deviations and/or than includes an indicator of a person may be determined to be more severe than other deviated content. Applications associated with deviated content may be ranked and corrective action may be taken based on the ranking.

Abstract: Systems and methods for natural language processing policies are disclosed. For example, content such as a response to a user command and/or user input such as a customer review, may be analyzed to determine if the content deviates from one or more content policies and to determine a severity of the content-policy deviation(s). A system may determine a number of content-policy deviations associated with the content and whether the content includes an indicator of a person, such as a pronoun and/or a proper noun. Content that includes multiple content-policy deviations and/or than includes an indicator of a person may be determined to be more severe than other deviated content. Applications associated with deviated content may be ranked and corrective action may be taken based on the ranking.

Abstract: An improved communication channel system, such as an improved interactive voice response (IVR) system, and methods that route calls to an appropriate customer agent terminal and correspondingly delivers selected data and selected treatments to be presented to a customer of an organization are described. An improved customer relationship management (CRM) system is in communication with the improved IVR system. Data stores associated with the improved CRM and/or IVR systems are specially configured to allow for datatables therein to be continuously reworked and updated to create and include new treatments specifically tailored on an individual customer level. The improved system includes a rules engine including logic specific to the suppression of treatments. Relevant, unsuppressed treatment information, including scripts and related data, is sent to the computing device of an organization agent, and the data is presented as a script in a GUI of the computing device.

Abstract: The present application discloses systems and methods for systematically identifying situations, improving processes, and producing proactive, actionable results to address customer inquiries. The systems and methods produce actionable proactive results (i.e., actions to be taken by predicting a likelihood of a customer interacting with an organization, such as an insurance provider). This allows an organization to avoid unnecessary and/or repeat customer contacts and inquiries, which generate protracted work and the need for case management and escalations. In addition, the systems and methods improve first contact resolution metrics and customer experience, by predicting the need for an interaction without having to communicate with the customer.

Abstract: An improved communication channel system, such as an improved interactive voice response (IVR) system, and methods that route calls to an appropriate customer agent terminal and correspondingly delivers selected data and selected treatments to be presented to a customer of an organization are described. An improved customer relationship management (CRM) system is in communication with the improved IVR system. Data stores associated with the improved CRM and/or IVR systems are specially configured to allow for datatables therein to be continuously reworked and updated to create and include new treatments specifically tailored on an individual customer level. The improved system includes a rules engine including logic specific to the suppression of treatments. Relevant, unsuppressed treatment information, including scripts and related data, is sent to the computing device of an organization agent, and the data is presented as a script in a GUI of the computing device.

Abstract: The present application discloses systems and methods for systematically identifying situations, improving processes, and producing proactive, actionable results to address customer inquiries. The systems and methods produce actionable proactive results (i.e., actions to be taken by predicting a likelihood of a customer interacting with an organization, such as an insurance provider). This allows an organization to avoid unnecessary and/or repeat customer contacts and inquiries, which generate protracted work and the need for case management and escalations. In addition, the systems and methods improve first contact resolution metrics and customer experience, by predicting the need for an interaction without having to communicate with the customer.