Abstract: A system and a method are provided for storing received data in a protected mode in a data repository. The system is characterized in that it is configured to prevent interpretation of the protected data in a case where an interpretation map and/or the ids mapping table associated with the protected data has been compromised, by changing mode of protection of said protected data, and wherein the change of protection mode of the protected data is affected either a) upon detecting that said interpretation map and/or an ids mapping table has been compromised, or b) on a periodical basis, or c) any combination thereof.

Abstract: A method and software are provided. The method comprises: a) providing physical platforms, each comprising a software module enabling it to operate as an artificial intelligence entity; b) providing an AI based application software configured to monitor operation of the physical platforms, that comprises: a data collection layer at which data sets generated at the plurality of physical platforms are retrieved, processed and loaded to a database; a data storage layer in which data sets are stored; a data analyzing layer comprising analyzing engines configured to analyze the data sets and establish relationships that exist between the physical platforms and their respective computing environment; a data modeling layer configured to detect changes that occurred in the physical platforms with respect to preceding data sets retrieved from the physical platforms, and identify which of the detected changes is associated with a computing environment.

Abstract: A method and a system are described for providing operational business service verification in a telecommunication network. The method comprises the steps of: (i) receiving information which relates to transactions from a plurality of information sources, wherein the transactions are associated with one or more pre-defined applications; (ii) based upon the information received, determining whether that at least one pre-defined transaction criterion has been met; and (iii) if the at least one pre-defined transaction criterion has been met, providing verification of the legitimacy of the respective transaction that relate to that pre-defined application.

Abstract: A method and a system are described for providing operational business service verification in a telecommunication network. The method comprises the steps of: (i) receiving information which relates to transactions from a plurality of information sources, wherein the transactions are associated with one or more pre-defined applications; (ii) based upon the information received, determining whether that at least one pre-defined transaction criterion has been met; and (iii) if the at least one pre-defined transaction criterion has been met, providing verification of the legitimacy of the respective transaction that relate to that pre-defined application.

Abstract: A method and a system are provided for generating information that relates to services being utilized by a user, by which: at a user device, retrieving usage information that relates to services consumed by the user of the user device; forwarding by the user device the retrieved usage information towards a central processing unit; at the central processing unit, determining based on the received usage information and based on at least one pre-determined criterion associated with the services being consumed by the user, whether a message should be sent to that user; and if in the affirmative, sending a message to the user that relates to the received usage information, without logging any information that relates to the message being sent to the user, at the central processing unit.

Abstract: According to a broad aspect of a preferred embodiment of the invention, a network optimization method is provided. First, a set of input parameters describing a network and the users accessing it is analyzed. Input parameters may include such network-related information as network element inventory and topography, bandwidth capacity, routing information, etc. Customer-related inputs may include contact revenue, cost of service, non-performance penalties, and pattern-based customer importance profile and customer relationship management. Other inputs may include additional complex network and customer related business rules. Demands are estimated (530), graphed (530), and then the graph is pruned (580).

Abstract: A method and a system are described for providing operational business service verification in a telecommunication network. The method comprises the steps of: (i) receiving information which relates to transactions from a plurality of information sources, wherein the transactions are associated with one or more pre-defined applications; (ii) based upon the information received, determining whether that at least one pre-defined transaction criterion has been met; and (iii) if the at least one pre-defined transaction criterion has been met, providing verification of the legitimacy of the respective transaction that relate to that pre-defined application.

Abstract: Methods, systems and computer readable code for forecasting commodity consumption and for forecasting time series are provided. According to some embodiments, the forecasting includes deriving at least one population commodity consumption forecasting model from population historical consumption data, deriving an individual commodity consumption forecasting model for at least one individual of the population from at least one population commodity consumption forecasting model and from individual historical consumption data, and forecasting future individual commodity consumption for the individual using individual commodity consumption forecasting model. According to some embodiments, the presently disclosed forecasting includes forecasting future values of an individual time series within a population of time series, where each time series on the same domain.

Abstract: A method and system for identifying outlier hyper-cells in an N-dimensional hierarchical datset having dimensions {x1,…xN} are provided.

Abstract: A method and system for identifying outlier hyper-cells in an N-dimensional hierarchical datset having dimensions {x1,…xN} are provided.

Abstract: Methods, systems and computer readable code for forecasting commodity consumption and for forecasting time series are provided. According to some embodiments, the forecasting includes deriving at least one population commodity consumption forecasting model from population historical consumption data, deriving an individual commodity consumption forecasting model for at least one individual of the population from at least one population commodity consumption forecasting model and from individual historical consumption data, and forecasting future individual commodity consumption for the individual using individual commodity consumption forecasting model. According to some embodiments, the presently disclosed forecasting includes forecasting future values of an individual time series within a population of time series, where each time series on the same domain.

Abstract: According to a broad aspect of a preferred embodiment of the invention, a network optimization method is provided. First, a set of input parameters describing a network and the users accessing it is analyzed. Input parameters may include such network-related information as network element inventory and topography, bandwidth capacity, routing information, etc. Customer-related inputs may include contact revenue, cost of service, non-performance penalties, and pattern-based customer importance profile and customer relationship management. Other inputs may include additional complex network and customer related business rules. Demands are estimated (530), graphed (530), and then the graph is pruned (580).