Abstract: Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A transaction network host may comprise various modules and engines as discussed herein wherein the probability that a transaction is a business or personal transaction may be evaluated for establishing proper usage of differentiated transaction instruments according to their proper purposes. For instance, a probable personal transaction may be identified as being associated with a business-oriented transaction card, whereby the transaction network may tailor the handling of the transaction, such as by denying it, whereby the transaction network may actively deter misuse of transaction products whereby the transaction network more properly functions according to approved parameters.

Abstract: A method, system, and computer program product for enterprise analytics. The method commences by requesting and receiving bank statement information from a bank computer where the bank statement information comprises at least a then current balance, then accessing a transaction repository to retrieve a transaction pipeline comprising deposit transactions and/or withdrawal transactions to be applied at future times to the then current balance. The method continues by forecasting a balance by applying at least a portion of the transaction pipeline to the then current balance. The resulting forecasted balance and reports are displayed for review by a user. The displays can include desktop or mobile displays or both. Transactions that involve multiple currencies can be converted into a selected currency of choice, and the balances and transactions are displayed in the denomination of the selected currency.

Abstract: The disclosure is related to mining of text to derive information from the text that is useful for a variety of purposes. The text mining process can be implemented in a service oriented industry such as a call center, where a customer and an agent engage in a dialog, e.g., to discuss product/service related issues. The messages in dialogues between the customers and the agents are tagged with features that describe an aspect of the conversation. The text mining process can mine various dialogues and identify a set of features and messages based on prediction algorithms. The identified set of features and messages can be used to infer an intent of a particular customer for contacting the agent, and to generate a recommendation based on the determined intent.

Abstract: This disclosure describes systems and methods for dynamically and automatically adapting the level of data logging that occurs within a network of nodes, identifying causes of exceptions that occur within the network and resolving those causes to ensure that the network continues operating efficiently. A monitoring service may automatically increase/decrease data logging of various nodes within the network as it progresses through levels of a network searching for a node that is the source of a cause of an exception. Once identified, the monitoring service may process the logged data and either automatically resolve the cause of the exception or provide information to an operator for resolution.

Abstract: A business process visualization is described. In one embodiment, process may include searching for documents stored in memory. The search identifies first documents, wherein the first documents comprise data of respective transactions of a first business process sequence implemented by an enterprise application. A user interface (UI) is then generated that includes components corresponding to the first documents, respectively, and components that visually identify relationships between the first documents.

Abstract: Deuterated and non-deuterated forms of tetrahydrocurcumin are described herein. Methods of making tetrahydrocurcumin in deuterated and non-deuterated forms and pharmaceutical formulations including tetrahydrocurcumin in deuterated and non-deuterated forms are disclosed. Methods of treating a subject using deuterated forms of tetrahydrocurcumin or non-deuterated forms of tetrahydrocurcumin are also disclosed.

Abstract: An multi-level privacy evaluation technology is described for increasing the performance of applications or services that experience high volumes of queries for data with privacy attributes. The multi-level privacy evaluation technology evaluates data using a subset of privacy policy rules and privacy information determined for the data at a backend server and thereby reduces the volume of data that need to be filtered at a frontend server. The multi-level privacy evaluation technology first applies an initial privacy check on a large data set at the backend to authoritatively filter out any data that a viewing user is not permitted to view or access and return as results a smaller data set that the viewing user may be permitted to view or access. A full privacy check is then performed at the frontend on the smaller data set, resulting in reduction in the overall cost of performing privacy checks and reducing latency in displaying data to the viewing user.

Abstract: Systems and methods relate to managing shared resources in a multithreaded processor comprising two or more processing threads. Danger levels for the two or more threads are determined, wherein the danger level of a thread is based on a potential failure of the thread to meet a deadline due to unavailability of a shared resource. Priority levels associated with the two or more threads are also determined, wherein the priority level is higher for a thread whose failure to meet a deadline is unacceptable and the priority level is lower for a thread whose failure to meet a deadline is acceptable. The two or more threads are scheduled based at least on the determined danger levels for the two or more threads and priority levels associated with the two or more threads.

Abstract: A computer-implemented method and a system for effecting customer value based customer interaction management include determining an initial estimate of a customer value for a customer of an enterprise. The initial estimate of the customer value is determined using interaction data associated with past interactions of the customer with the enterprise on one or more interaction channels. At least one persona type is identified corresponding to the customer and each persona type from among the at least one persona type is associated with a respective pre-determined correction factor. The initial estimate of the customer value is corrected using the pre-determined correction factor corresponding to the each persona type to generate a corrected estimate of the customer value. One or more recommendations are generated based on the corrected estimate of the customer value with an intention of achieving, at least in part, one or more predefined objectives of the enterprise.

Abstract: A computer-implemented method and an apparatus for modeling customer interaction experiences receives interaction data corresponding to one or more interactions between a customer and a customer support representative. At least one language associated with the interaction data is detected. Textual content in a plurality of languages is generated corresponding to the interaction data based at least in part on translating the interaction data using two or more languages different than the at least one language. At least one emotion score is determined for text corresponding to each language from among the plurality of languages. An aggregate emotion score is determined using the at least one emotion score for the text corresponding to the each language. An interaction experience of the customer is modeled based at least in part on the aggregate emotion score.

Abstract: An multi-level privacy evaluation technology is described for increasing the performance of applications or services that experience high volumes of queries for data with privacy attributes. The multi-level privacy evaluation technology evaluates data using a subset of privacy policy rules and privacy information determined for the data at a backend server and thereby reduces the volume of data that need to be filtered at a frontend server. The multi-level privacy evaluation technology first applies an initial privacy check on a large data set at the backend to authoritatively filter out any data that a viewing user is not permitted to view or access and return as results a smaller data set that the viewing user may be permitted to view or access. A full privacy check is then performed at the frontend on the smaller data set, resulting in reduction in the overall cost of performing privacy checks and reducing latency in displaying data to the viewing user.

Abstract: Embodiments of the invention provide a nexus between a user's presence within or proximate to a brick and mortar store outside of an explicit user transaction within the store, that is based solely upon the user's presence within the store, and not on any affirmative actions taken by the user by maintaining location awareness of the user and by communicating this awareness in real time, as the user moves from location to location, to brick and mortar stores at or near to the user's location. In this way, embodiments of the invention link the user's virtual presence, for example via the Internet, and all of the user-related information that is available for data mining, for example using big data techniques, to the user's physical presence at a physical location to create an enhanced user experience within the physical location in real time.

Abstract: Deuterated and non-deuterated forms of tetrahydrocurcumin are described herein. Methods of making tetrahydrocurcumin in deuterated and non-deuterated forms and pharmaceutical formulations including tetrahydrocurcumin in deuterated and non-deuterated forms are disclosed. Methods of treating a subject using deuterated forms of tetrahydrocurcumin or non-deuterated forms of tetrahydrocurcumin are also disclosed.

Abstract: Deuterated and non-deuterated forms of tetrahydrocurcumin are described herein. Methods of making tetrahydrocurcumin in deuterated and non-deuterated forms and pharmaceutical formulations including tetrahydrocurcumin in deuterated and non-deuterated forms are disclosed. Methods of treating a subject using deuterated forms of tetrahydrocurcumin or non-deuterated forms of tetrahydrocurcumin are also disclosed.

Abstract: A computer-implemented method and an apparatus for providing customized interaction experience facilitates a capturing of interaction data and non-interaction data related to one or more interactions of a customer on at least one interaction channel. The interaction data comprises information related to elements of interest to the customer from among a plurality of elements presented to the customer during the one or more interactions. The non-interaction data comprises information related to one or more remaining elements of non-interest to the customer from among the plurality of elements. An intention of the customer is predicted based on the interaction data and the non-interaction data. A customized interaction experience is provided to the customer in one or more interaction channels from among the plurality of interaction channels based on the predicted intention of the customer.

Abstract: A computer-implemented method and an apparatus for modeling customer interaction experiences receives interaction data corresponding to one or more interactions between a customer and a customer support representative. At least one language associated with the interaction data is detected. Textual content in a plurality of languages is generated corresponding to the interaction data based at least in part on translating the interaction data using two or more languages different than the at least one language. At least one emotion score is determined for text corresponding to each language from among the plurality of languages. An aggregate emotion score is determined using the at least one emotion score for the text corresponding to the each language. An interaction experience of the customer is modeled based at least in part on the aggregate emotion score.

Abstract: An multi-level privacy evaluation technology is described for increasing the performance of applications or services that experience high volumes of queries for data with privacy attributes. The multi-level privacy evaluation technology evaluates data using a subset of privacy policy rules and privacy information determined for the data at a backend server and thereby reduces the volume of data that need to be filtered at a frontend server. The multi-level privacy evaluation technology first applies an initial privacy check on a large data set at the backend to authoritatively filter out any data that a viewing user is not permitted to view or access and return as results a smaller data set that the viewing user may be permitted to view or access. A full privacy check is then performed at the frontend on the smaller data set, resulting in reduction in the overall cost of performing privacy checks and reducing latency in displaying data to the viewing user.

Abstract: A computer is programmed to receive from an administrator, a rule specifying one or more values of a parameter, identification of software wherein the rule is to be applied, and identification of a user on whom the rule is to be applied. The computer stores an association between the rule, the identified user and the identified software. On receipt of input from the identified user, to access the identified software, the computer uses the association to retrieve the rule, apply the rule to select information based on the value(s) specified in the rule, and execute the identified software to display the selected information to the identified user. Use of a rule that is specific to the user and also specific to the software enables the computer to support security for each user differently for different pieces of software in a software product line.

Abstract: In accordance with an example embodiment a computer-implemented method and an apparatus for predicting and tracking of mood changes in textual conversations are provided. The method includes determining, by a processor, one or more mood metrics in each of two or more chat stages of a real-time textual conversation between an agent and a customer. Changes in the one or more mood metrics across the two or more chat stages of the real-time textual conversation are tracked by the processor. Further, the method includes determining, by the processor, at least one action associated with the real-time textual conversation based on the changes in the one or more mood metrics.

Abstract: A method, system, and computer program product for enterprise analytics. The method commences by requesting and receiving bank statement information from a bank computer where the bank statement information comprises at least a then current balance, then accessing a transaction repository to retrieve a transaction pipeline comprising deposit transactions and/or withdrawal transactions to be applied at future times to the then current balance. The method continues by forecasting a balance by applying at least a portion of the transaction pipeline to the then current balance. The resulting forecasted balance and reports are displayed for review by a user. The displays can include desktop or mobile displays or both. Transactions that involve multiple currencies can be converted into a selected currency of choice, and the balances and transactions are displayed in the denomination of the selected currency.