Abstract: A computer-implemented method for providing tenant aware, variable length, deduplication of data stored on a non-transitory computer readable storage medium. The method is performed at least in part by circuitry and the data comprises a plurality of data items. Each of the plurality of data items is associated with a particular tenant of a group of tenants that store data on the storage medium.

Abstract: Disclosed are a system and a method for communicating with a financial institution over a communication network to manage payments of payee initiated by a sender. The system includes a database for storing a plurality of modules, a central server for monitoring and updating the plurality of modules, a processing unit that processes the plurality of modules. The plurality of modules includes a notification module, a payee module, a dashboard module, a refunds module, a payment process module, and a remittance summary module. The notification module allows the sender to send a payment summary to each payee. The payee module allows the payee to upload the payee's details, to select a mode of payment to receive the payment. The payment process module processes the payment as per the mode selected by the payee in the payee module, further processes the payment via cheque mode if the payee fails to update the mode of payment in a pre-defined duration.

Abstract: Disclosed is a system for scoring customers of a financial institution based on financial data. The system includes a central database that stores a plurality of modules, a central server that processes the plurality of modules and a display unit that displays the processed plurality of modules. The plurality of modules includes a criteria configuration module, a data module, and a computation module. The criteria configuration module includes a metric module to receive the input parameters required to evaluate the score, and a measurement module for defining transformation criteria to be applied on the data corresponding to the input parameters. The computation module includes a metric evaluation module to compute and applies the transformation criteria to the values of the input parameters, and a scoring module coupled to the metric evaluation module to automatically compute and display the score of the customers based on the values retrieved from the metric evaluation module.

Abstract: A computer-implemented method for matching user inputted text to stored text. The user inputted text is compared to each of the text strings stored in a database using a string similarity score determined using a Levenshtein distance algorithm, the n-gram or trigram methods, the Jaro-Winkler algorithm, the Cosine similarity algorithm, the Hamming distance algorithm, the Damerau-Levenshtein distance algorithm, or similar. For each comparison, the string similarity score is analyzed to determine exact matches, non-matches, and probable matches. Probable matches are further analyzed using a keyboard distance algorithm to differentiate between matches and non-matches.

Abstract: A transformation-as-a-service apparatus, system and method are described, where the transformation converts financial messages from one format to another (such as SWIFT format to ISO 20022 format, etc), storing the original and transformed messages for future access by a token. The transformation service also includes a permissions and access control mechanism for allowing access to the financial messages based on requestor permissions when requested via the token.

Abstract: A system, method and apparatus for providing a global service for securely storing deposit instructions is described. The service provides payment processing services with a central location to translate payee information into a revocable d-token that represents the payee deposit instructions. A second service allows qualified banking institutions to convert the d-token into deposit instructions to effectuate a funds transfer.

Abstract: A method and apparatus for detecting suspicious activities surrounding the management of controlled substances in a medical facility is described herein, where the activities that may indicate the diversion of controlled drugs are flagged for further review. The activities are detected by reviewing application layer network packets, related to controlled substances, on the medical facility network, identifying the physical location of the origin of the packet, and processing these packets with a rules engine and machine learning generated rules to make a determination if the circumstances surrounding the packets indicate the diversion of controlled substances.

Abstract: A unique user interface for improving machine learning algorithms is described herein. The user interface comprises an icon with multiple visual indicators displaying the machine learning confidence score. When a mouse hovers over the icon, a set of icons are displayed to accept the teaching user's input. In addition, the words that drove the machine learning confidence score are highlighted with formatting so that the teaching user can understand what drove the machine learning confidence score.

Abstract: A two-step algorithm for conducting near real-time fuzzy searches of a target on one or more large data sets is described. This algorithm includes the simplification of the data by removing grammatical constructs to bring the target search term (and the stored database) to their base elements and then perform a Levenstein comparison to create a subset of the data set that may be a match. Then performing a scoring algorithm while comparing the target to the subset of the data set to identify any matches.

Abstract: Disclosed is a system and a method for communicating with a financial institution over a communication network to manage payments of payee initiated by a sender. The system includes a database for storing plurality of modules, a central server for monitoring and updating the plurality of modules, a processing unit processes the plurality of modules. The plurality of modules includes a notification module, a payee module and a payment process module. The notification module allows the sender to send a payment summary to each payee. The payee module allows the payee to upload payee's details in the central server, to select a mode of payment to receive the payment, to input banking details of the financial institution. The payment process module processes the payment as per the mode selected by the payee in the payee module, further processes the payment via cheque mode if the payee fails to update the mode of payment in a pre-defined duration.

Abstract: A method for using machine learning techniques to analyze past decisions made by administrators concerning account opening requests and to recommend whether an account opening request should be allowed or denied. Further, the machine learning techniques determine various other products that the customer may be interested in and prioritizes the choices of options that the machine learning algorithm determines appropriate for the customer.

Abstract: A method for automatically detecting block legal billing is described where the technique analyzes each billing entry in the legal bill for visual or textual aspects that indicate that a list of billing items is included in the block. The technique utilizes a combination of textual analysis for punctuation characters, count of the number of verbs, or a search for conjunctions. A visual analysis is match the image of the billing item with a predetermined image of a list. Essentially, a novel natural language processing technique is described that identifies lists in a block of text, where the block of text is in the context of a legal bill.

Abstract: A two step algorithm for conducting near real time fuzzy searches of a target on one or more large data sets is described. This algorithm includes the simplification of the data by removing grammatical constructs to bring the target search term (and the stored database) to their base elements and then perform a Levenstein comparison to create a subset of the data set that may be a match. Then performing a scoring algorithm while comparing the target to the subset of the data set to identify any matches.

Abstract: A method and apparatus for detecting suspicious activities surrounding the management of controlled substances in a medical facility is described herein, where the activities that may indicate the diversion of controlled drugs are flagged for further review. The activities are detected by invigilating application layer network packets, related to controlled substances, on the medical facility network, and processing these packets with a rules engine and machine learning generated rules to make a determination if the circumstances surrounding the packets indicate the diversion of controlled substances.

Abstract: A unique user interface for improving machine learning algorithms is described herein. The user interface comprises an icon with multiple visual indicators displaying the machine learning confidence score. When a mouse hovers over the icon, a set of icons are displayed to accept the teaching user's input. In addition, the words that drove the machine learning confidence score are highlighted with formatting so that the teaching user can understand what drove the machine learning confidence score.

Abstract: A method and apparatus for improving the management of cash and liquidity of an organization utilizing a plurality of currency accounts is described. The improvements optimize the interest earnings for the cash balances in each currency account, and minimizes the expenses related to funding the currency accounts. Machine learning techniques are incorporated to forecast payments, receipts, interest rates and currency exchange rates, and then cash is transferred or borrowed or loaned to fund the payments and utilize available cash.

Abstract: A method for using machine learning techniques to analyze past decisions made by administrators concerning account opening requests and to recommend whether an account opening request should be allowed or denied. Further, the machine learning techniques determine various other products that the customer may be interested in and prioritizes the choices of options that the machine learning algorithm determines appropriate for the customer.

Abstract: A system and method for using inferred attributes derived from banking data is described. The system and method include a flexible configuration system that permits numerous insights to be created, said insights used to monitor and predict the behavior of banking customers. The insights allow thresholds to be monitored over a period of time, and the combination of thresholds and trends of implied attributes to create complex insights. This allows bankers to detect anomalies in customer behavior.