Abstract: A method for detecting anomalous data is provided. The method comprises collecting a training dataset comprising a number of transactional time series, wherein the time series comprise non-anomalous data entries for a specified transaction type. The training dataset is fed into a gated recurrent unit (GRU) network, which learns the data distribution for the transactional time series. The GRU predicts expected future values of the specified transaction type according to the learned data distribution. An upper bound and a lower bound for future values are calculated based a standard deviation of the predicted values. When new data entries of the specified transaction type are received their values are compared to the upper bound and the lower bound, and an error notification is provided if the values of the new data entries fall outside the upper bound or lower bound.

Abstract: A method includes receiving a search query from a user interface. The method includes performing a keyword search at a computer device based on the search query to generate keyword search results. The method includes performing a natural language search of a frequently-asked question database based on the search query to generate frequently-asked question search results. The method also includes outputting a display page for display at a display device. The display page categorizes the keyword search results and the frequently-asked question search results into a plurality of categories.

Abstract: A method includes receiving a search query from a user interface. The method includes performing a keyword search at a computer device based on the search query to generate keyword search results. The method includes performing a natural language search of a frequently-asked question database based on the search query to generate frequently-asked question search results. The method also includes outputting a display page for display at a display device. The display page categorizes the keyword search results and the frequently-asked question search results into a plurality of categories.

Abstract: A search query is received from a single input field of a user interface. A keyword search is performed based on the search query to generate keyword search results. A natural language search is performed of a frequently-asked question (FAQ) database based on the search query to generate FAQ search results. The keyword search results and the FAQ search results are combined in a display page.

Abstract: A predefined interface is presented to a remote user. A natural language inquiry from the remote user is received via the predefined interface. The natural language inquiry is configured for use in an analysis. A customized interface is presented to the remote user based on the analysis of the natural language inquiry. The customized interface includes a customized set of communications options for the remote user to route communications.

Abstract: A search query is received from a single input field of a user interface. A keyword search is performed based on the search query to generate keyword search results. A natural language search is performed of a frequently-asked question (FAQ) database based on the search query to generate FAQ search results. The keyword search results and the FAQ search results are combined in a display page.

Abstract: A search query is received from a single input field of a user interface. A keyword search is performed based on the search query to generate keyword search results. A natural language search is performed of a frequently-asked question (FAQ) database based on the search query to generate FAQ search results. The keyword search results and the FAQ search results are combined in a display page.

Abstract: A search query is received from a single input field of a user interface. A keyword search is performed based on the search query to generate keyword search results. A natural language search is performed of a frequently-asked question (FAQ) database based on the search query to generate FAQ search results. The keyword search results and the FAQ search results are combined in a display page.

Abstract: A predefined interface is presented to a remote user. A natural language inquiry from the remote user is received via the predefined interface. The natural language inquiry is configured for use in an analysis. A customized interface is presented to the remote user based on the analysis of the natural language inquiry. The customized interface includes a customized set of communications options for the remote user to route communications.

Abstract: A search query is received from a single input field of a user interface. A keyword search is performed based on the search query to generate keyword search results. A natural language search is performed of a frequently-asked question (FAQ) database based on the search query to generate FAQ search results. The keyword search results and the FAQ search results are combined in a display page.