Abstract: A system and method for providing an improved user interface for executing data operations. A method includes: identifying a first node and a second node from different connections graphs, each node representing a respective user account, the user accounts of the first and second nodes sharing at least one common attribute; generating, based on the different connections graphs, an influence indicator for each of the first node and the second node; identifying a data operation executed by the first node on a dataset when the influence indicator of the first node is higher than the influence indicator of the second node, wherein the identified data operation causes generation or retrieval of business intelligence system data when executed; and sending data indicating the identified data operation to a device of the second node, wherein the device is configured to display a user interface including the identified data operation.

Abstract: A system and method for providing sensory analytics responses. The method comprises collecting raw data from a plurality of data sources; extracting, from the collected raw data, a subset of the raw data to be analyzed; generating, based on the extracted subset of the raw data, an analytics dataset, wherein the analytics dataset includes a performance indicator; determining, based on at least one received input, at least one query; determining, based on the generated analytics dataset, a response to the at least one query, wherein the response includes at least one sensory output; and causing projection of the determined at least one sensory output.

Abstract: A system and method for generating approximations of query results. The method includes sending a received query to a neural network, wherein the received query is executable on a target data set; receiving from the neural network a predicted result to the received query; providing the predicted result as a first output to a device having initiated the received query; determining a real result of the query from a data set stored in the database when the predicted result is insufficiently accurate; and providing the real result as a second output to a device having initiated the received query.

Abstract: A system and method for providing an improved user interface for executing data operations. A method includes: identifying a first node and a second node from different connections graphs, each node representing a respective user account, the user accounts of the first and second nodes sharing at least one common attribute; generating, based on the different connections graphs, an influence indicator for each of the first node and the second node; identifying a data operation executed by the first node on a dataset when the influence indicator of the first node is higher than the influence indicator of the second node, wherein the identified data operation causes generation or retrieval of business intelligence system data when executed; and sending data indicating the identified data operation to a device of the second node, wherein the device is configured to display a user interface including the identified data operation.

Abstract: A system and method for providing an improved user interface for executing data operations. The method includes: identifying a first node and a second node, wherein the first node is selected from a first connections graph and the second node is selected from a second connections graph, wherein each node is associated with a user account having a plurality of attributes, wherein the first and second nodes share at least one common attribute; generating an influence indicator for each of the first node and the second node; identifying a data operation executed by the first node on a dataset when the influence indicator of the first node is higher than the influence indicator of the second node, wherein the identified data operation is not executed by the second node; and sending, to a device of the second node, a notification indicating the identified data operation.

Abstract: A system and method for increasing the accuracy of generated approximations of query results. The method includes sending a received query to a first neural network and a second neural network; receiving from the first neural network a first predicted result to the received query; providing the first predicted result as a first output to a device having initiated the received query; receiving from the second neural network a second predicted result to the received query; and providing the second predicted result as a second output to the device having initiated the received query, wherein the first neural network requires less computational resources than the second neural network, and whereby the first output is provided before the second output.

Abstract: A system and method for efficiently responding to a query. The method comprises generating a lowest level data layer, wherein the lowest level data layer is a common dataset that can be served by a plurality of higher level data layers; generating, based on the lowest level data layer, at least one dataset, wherein each generated dataset is one of the plurality of higher level data layers, wherein each higher level data layer is accessed more rapidly than all lower level data layers; searching, in at least one of the generated data layers, for data needed to generate a response to the query; determining, based on the search, at least one data layer from which the response can be generated, wherein the determined at least one data layer includes the highest level data layer from which the response can be generated; and generating, based on data of the determined at least one data layer, a response to the query.

Abstract: A system and method for providing local approximations of query results are provided. The method includes querying a primary neural network with at least one test query, wherein the at least one test query includes a real test result derived from executing the at least one training query on a data set; receiving from the primary neural network a predicted test result in response to the at least one test query; sending, based on the predicted test result, a model of a primary neural network to a local machine; and storing the model of a local neural network of the local machine, wherein the local neural network is configured to generate a prediction in response to a user query received by the local machine.

Abstract: A system and method for generating training sets for training neural networks. The method includes receiving a plurality of query pairs, wherein each of the plurality of query pairs includes a query and a real result previously determined for the query; determining at least one variable element of each query in the plurality of received query pairs; determining a variance for the at least determined variable element of each query in the plurality of received query pairs; and generating a training set based on the determined variable element, the determined variance, and the previously determined real result.

Abstract: A system and method for increasing the accuracy of generated approximations of query results. The method includes sending a received query to a first neural network and a second neural network; receiving from the first neural network a first predicted result to the received query; providing the first predicted result as a first output to a device having initiated the received query; receiving from the second neural network a second predicted result to the received query; and providing the second predicted result as a second output to the device having initiated the received query, wherein the first neural network requires less computational resources than the second neural network, and whereby the first output is provided before the second output.

Abstract: A system and method for generating approximations of query results. The method includes sending a received query to a neural network, wherein the received query is executable on a target data set; receiving from the neural network a predicted result to the received query; providing the predicted result as a first output to a device having initiated the received query; determining a real result of the query from a data set stored in the database when the predicted result is insufficiently accurate; and providing the real result as a second output to a device having initiated the received query.

Abstract: A system and method for providing an improved user interface for executing data operations. The method includes: identifying a first node and a second node, wherein the first node is selected from a first connections graph and the second node is selected from a second connections graph, wherein each node is associated with a user account having a plurality of attributes, wherein the first and second nodes share at least one common attribute; generating an influence indicator for each of the first node and the second node; identifying a data operation executed by the first node on a dataset when the influence indicator of the first node is higher than the influence indicator of the second node, wherein the identified data operation is not executed by the second node; and sending, to a device of the second node, a notification indicating the identified data operation.

Abstract: A system and method for efficiently responding to a query. The method comprises generating a lowest level data layer, wherein the lowest level data layer is a common dataset that can be served by a plurality of higher level data layers; generating, based on the lowest level data layer, at least one dataset, wherein each generated dataset is one of the plurality of higher level data layers, wherein each higher level data layer is accessed more rapidly than all lower level data layers; searching, in at least one of the generated data layers, for data needed to generate a response to the query; determining, based on the search, at least one data layer from which the response can be generated, wherein the determined at least one data layer includes the highest level data layer from which the response can be generated; and generating, based on data of the determined at least one data layer, a response to the query.

Abstract: A system and method for providing sensory analytics responses. The method comprises collecting raw data from a plurality of data sources; extracting, from the collected raw data, a subset of the raw data to be analyzed; generating, based on the extracted subset of the raw data, an analytics dataset, wherein the analytics dataset includes a performance indicator; determining, based on at least one received input, at least one query; determining, based on the generated analytics dataset, a response to the at least one query, wherein the response includes at least one sensory output; and causing projection of the determined at least one sensory output.

Abstract: A system, method, and computer product, the system comprising: a transmitter configured to transmit a multiplicity of commands related to managing usage of a screen in accordance with one or more rules, the multiplicity of commands sent at intervals during an applicability time period of a rule; and a receiver operatively connected to the screen, the receiver configured to receive the commands from the transmitter and apply the commands to the screen, thereby managing usage of the screen for the applicability time period of the rule, wherein the transmitter and the receiver communicate with each other using authenticated communication.

Abstract: A system and method may respond to a fraudulent attack, such as a Phishing attack. The system and method may send a number of responses to party committing fraud, the responses designed to mimic the responses to a Phishing attack. The responses may include codes or marked information designed to entrap or detect the party committing fraud.

Abstract: A system and method may allow for flexible transaction processing based on for example the risk assessment of a transaction and/or a user or party to a transaction. Based on a risk level, for example, a level of authentication for the transaction may be set or altered.

Abstract: A system and method for sharing detection logic is disclosed. Detection logic may be uploaded to a network. Detection logic may shared by for example enabling devices to download detection logic from the network. Detection logic may be provided to a detection system that may operate based on the provided logic to detect risks. A detected risk may be related to financial transactions. Other embodiments are described and claimed.

Abstract: A system and method may respond to a fraudulent attack, such as a Phishing attack. The system and method may send a number of responses to party committing fraud, the responses designed to mimic the responses to a Phishing attack. The responses may include codes or marked information designed to entrap or detect the party committing fraud.

Abstract: A system and method may allow for flexible transaction processing based on for example the risk assessment of a transaction and/or a user or party to a transaction. Based on a risk level, for example, a level of authentication for the transaction may be set or altered.