A computer-implemented method for enabling gesture-based interactions between a computer program and a user is disclosed. According to certain embodiments, the method may include initiating the computer program. The method may also include detecting that a condition has occurred. The method may also include activating a gesture-based operation mode of the computer program. The method may also include receiving gesture data generated by a sensor, the gesture data representing a gesture performed by the user. The method may further include performing a task based on the gesture data.

A system and method for matching a second electronic document to a first electronic document, the first electronic document including at least partially unstructured data of a transaction. The method includes: analyzing the at least partially unstructured data to determine at least one transaction parameter; creating a template for the first electronic document, wherein the template is a structured dataset including the determined at least one transaction parameter; determining, based on the template, a portion of the first electronic document requiring evidence; searching, based on the template, for a second electronic document, wherein the second electronic document indicates of the evidence-requiring portion; and associating the second electronic document with the first electronic document.

A data analytics system may include a first risk relationship data store containing electronic records that represent a plurality of risk relationships between the enterprise and a first risk relationship provider. Similarly, a second risk relationship data store containing electronic records that represent a plurality of risk relationships between the enterprise and a second risk relationship provider. A back-end application computer server may include a data mining engine that analyzes a set of electronic records in the first and second risk relationship data stores to identify flags corresponding to risk drivers. A predictive analytics engine may then calculate a risk score associated with the set of electronic records based on the associated entity attribute values and the identified flags corresponding to risk drivers. An insight platform may automatically generate a recommended action for the enterprise to lower the calculated risk score.

Computer-implemented systems and methods are disclosed herein for use within secure multi-party computation. A system and method are used for storing an operation preference and a cryptographic preference. A data set is stored based on the operation preference and the cryptographic preference. A determination is made that processing the query involves performing an allowable operation on the data set based on the operation preference.

Computer-implemented systems and methods are disclosed herein for use within secure multi-party computation. A system and method are used for storing an operation preference and a cryptographic preference. A data set is stored based on the operation preference and the cryptographic preference. A determination is made that processing the query involves performing an allowable operation on the data set based on the operation preference.

A method and corresponding system to determine an optimized credit limit assignment using reinforcement learning techniques in order to maximize a reward function for a given bank. A reinforcement learning module is configured to use a set of user profiles and an associated set of risk profiles to determine an initial credit limit assignment. Based on this initial credit limit assignment, an updated set of user profiles and an associated set of updated risk profiles are generated. The reinforcement learning module can use these updated sets of user profiles and associated risk profile as inputs to determine an optimized credit limit assignment that maximizes the reward function for the given bank.

Methods, systems, and apparatus for automatically obtaining tax documents. The system includes a taxpayer client device and a server configured to automatically identify tax return items associated with the taxpayer by analyzing a prior year tax return. The server is configured to generate a list of tax return items including the automatically identified tax return items. The server is configured to receive, from the taxpayer client device, authentication data for a third party database. The server is configured to access the third party database using the authentication data. The server is configured to receive a document from the third party database and automatically determine whether the document corresponds to a tax return item from the list of tax return items. The server is configured to automatically store the document when the document corresponds to one of the tax return items from the list of tax return items.

A method, system, and computer program products are provided for updating the location of a cursor in a display window on a trading screen when certain events occurs. In a preferred embodiment, as market conditions change, the market information may be rearranged on a screen. To reduce the chances of missing a market opportunity by sending orders or managing them, the cursor moves in association with the market information such that the cursor appears fixed to the market information until a user moves the pointer device.

A method, system, and computer program products are provided for updating the location of a cursor in a display window on a trading screen when certain events occurs. In a preferred embodiment, as market conditions change, the market information may be rearranged on a screen. To reduce the chances of missing a market opportunity by sending orders or managing them, the cursor moves in association with the market information such that the cursor appears fixed to the market information until a user moves the pointer device.

A method for authenticating a consumer. The method includes receiving an authorization request message associated with a consumer conducting a transaction with a portable consumer device. A challenge message is sent to the consumer, where the challenge message is dynamic or semi-dynamic. A challenge response message is received from the consumer, and an authorization response message is sent to the consumer. The authorization response message indicates whether or not the transaction is authorized.