Abstract: A service engine of a processor-based system determines an estimated amount of taxes due in association with a proposed transaction based on a risk tolerance value specified by a party to the transaction, such as a seller. Multiple classification code queries are generated for classifying an item that is the subject of the proposed transaction, from which a plurality of classification code candidates are determined. Each such classification code candidate is considered in determination of multiple corresponding possible tax-due amounts, and the taxes due for the proposed transaction are determined by the service engine based on a statistical calculation corresponding to the specified risk tolerance value. The service engine provides the estimated tax due amount to one or more parties to the proposed transaction.

Abstract: A processor may filter data to generate a subset of the data less than an entire set of the data. The subset may include at least one string and at least one numeric value. The processor may match the at least one string and the at least one numeric value to one of a plurality of archetypes by applying a clustering algorithm. Each archetype may include a subset of archetype data less than an entire set of archetype data. The processor may compare the entire set of data to the entire set of archetype data to identify at least one difference between the entire set of data and the entire set of archetype data. The processor may apply at least one optimization to address the at least one difference.

Abstract: Set analysis may be used to determine the best data analysis model(s) (e.g., data charts, data tables, data graphs, data maps, graphical objects, key performance indicators (KPIs), etc.) for representing the results of an undetermined query (e.g., an imprecise query, an undefined query, an incomplete query, a partially expressed query, a portioned query, etc.).

Abstract: In embodiments of the present invention, methods are provided for maintaining a plurality of public addresses, and a plurality of virtual representations of a plurality of respective items. For each virtual representation, a set of digital tokens may respectively correspond to an item represented by the virtual representation, and each digital token may be cryptographically linked with the corresponding virtual representation. Owners of a token may request redemption of the digital token and have ownership information and fulfillment details verified. Fulfillment details may be provided to a fulfillment system that satisfies transactions for items.

Abstract: Methods and systems for a location based system and method for calculating sales and use tax for non-traditional points of sale. The methods and systems include a mobile application, a non-transitory computer readable medium for calculating sales and use tax for businesses that do not have a human readable address. Methods and systems for calculating a transactional tax for a mobile app whereby the mobile app is taxed based upon the location of the mobile device or place of first use of the mobile app, rather than where the mobile device was purchased or where it originates.

Abstract: Technology is described for managing a user account. An example method includes: a payment service system (PSS) monitoring in real-time transactions of users, receiving a request from a user to complete a transaction, and dynamically determining a predicted tax liability amount for the transaction that increases or decreases a total tax liability of the user. The PSS then displays the predicted tax liability amount on a display of the users device with a request for confirmation to continue with the transaction. If confirmation is received, the PSS modifies tax liability information for the user that reflects the completed transaction. The user may also cancel the transaction responsive to receiving the predicted tax liability amount.

Abstract: A service engine determines that an entity meets a first nexus establishment condition for a first domain and a second nexus establishment condition for a second domain. The service engine then computes a first selected resource for the first domain and a second selected resource for the second domain. When the service engine determines that the entity no longer meets the second nexus establishment condition for the second domain, the service engine determines a nexus-ending date for the second domain. Prior to the nexus-ending date being satisfied, the service engine continues to compute the first selected resource for the first domain and the second selected resource for the second domain. In response to the nexus-ending date being satisfied, the service engine computes the first selected resource for the first domain but does not compute the second selected resource for the second domain.

Abstract: A service engine determines that an entity meets a first nexus establishment condition for a first domain and a second nexus establishment condition for a second domain. The service engine then computes a first selected resource for the first domain and a second selected resource for the second domain. When the service engine determines that the entity no longer meets the second nexus establishment condition for the second domain, the service engine determines a nexus-ending date for the second domain. Prior to the nexus-ending date being satisfied, the service engine continues to compute the first selected resource for the first domain and the second selected resource for the second domain. In response to the nexus-ending date being satisfied, the service engine computes the first selected resource for the first domain but does not compute the second selected resource for the second domain.

Abstract: Disclosed herein is a software application for tracking the impact of a change event on a budget for a project. In one aspect, a computing system may receive user input defining a given change event that comprises a line item, and setting an estimated revenue for the line item to a dynamic amount that is to track a most-firm cost for the first line item. Based on the received user input and the estimated revenue for the line item, the computing system may create a data record that represents the given change event, detect a more-firm cost available for the line item, and based on detecting the more-firm cost available for the line item, (i) determine an updated most-firm cost for the line item and (ii) determine an updated estimated revenue for the line item to track the updated most-firm cost for the line item.

Abstract: A computer-implemented method includes: allowing a user of a spreadsheet program to select a transaction from a list of transactions for a transaction management platform; creating a mapping sheet in a workbook of the spreadsheet program, the mapping sheet listing, in a first column, data fields associated with the selected transaction; receiving, in a second column of mapping sheet, references to cells of the workbook that correspond to the data fields in the first column; and using the mapping sheet to automatically update the data fields associated with the selected transaction with data values from the corresponding cells of the workbook in response to a user command.

Abstract: A system and method for detecting and resolving mis-transcriptions in a transcript generated by an automatic speech recognition system when transcribing spoken words. The system and method receive a machine language generated transcript of a speech signal by at least one of a first machine learning system and a second machine learning system, and analyze the machine language generated transcript to find a region of low confidence indicative of a mis-transcription and predict an improvement to the region of low confidence indicative of the mis-transcription. The system and method select a replacement word for the mis-transcription based on the predicted improvement to the region of low confidence and replace the mis-transcription by the replacement word to generate a corrected transcript.

Abstract: A method of universal registration and identification of legal procedures and related parties and/or component parts to achieve the unification of the identification of legal procedures, allowing an individual or organization to carry the data related to their legal procedures, the verification of the related data, the assignation of access rights for accessing the data, as well as the unification of the history of procedures and documents. The generation of a unique and non-transferable public identifier for each legal procedure and also for each related part and it consists of different fields (some of the fields are mandatory and others are optional) combining URN, UUID, OID and DID formats. An entity such as an individual, an organization or a digital service can verify the authenticity of both the identifier of a legal procedure, of the DID document associated and of the data associated with said identifier.

Abstract: A method for automatically recommending to a user of a software application one or more categories of a plurality of different categories of tax deductible expenses includes providing input data to a trained machine learning model and receiving output from the trained machine learning model based on the input data. The output includes a recommendation for the user that includes (i) one or more categories of the plurality of different categories of tax deductible expenses; and (ii) a plurality of examples of tax deductible expenses for each of the one or more categories. The method includes receiving feedback from the user on the recommendation and generating updated training data for the trained machine learning model based on the feedback.

Abstract: A vehicle fee charging system and method is disclosed for a vehicle driving from a first point A to a second point B. It (10) comprises a central management system (12) adapted to calculate the fee based on a dataset. It comprises a first unit (50) adapted to record a first information data set (51) based on the vehicle type in question. The first information data set (51) comprises information such as fuel type, category of the vehicle and the authorization of the vehicle. The system (10) further comprises at least one base station/monitoring system (22) collecting second information dataset (52) of the selected route from A to B. The dataset comprises at least the first (51) and the second (52) data information set and said datasets are recorded by the central management system (12) configured to calculate a fee for said vehicle based on said information.

Abstract: Certain aspects of the present disclosure provide techniques for configuring a software application through a remote configuration service. An example method generally includes receiving, from a remote configuration service, a declarative construct. Generally, the declarative construct includes a definition of a workflow in an application to be executed within a player application deployed on a client device. Information associated with the definition of the workflow is extracted by parsing the declarative construct according to a schema defining a format of the declarative construct. The workflow is executed in the player application based on the extracted information defining functionality of the workflow.

Abstract: Methods and systems for managing a project. Project templates can be stored in a project database. At least one start date and/or at least one end date can be accepted for each project template. Information related to accepted project templates can be accepted. A user can access the information related to accepted project templates from a user interface.

Abstract: Systems and methods electronically obtain data regarding a plurality of sources and corresponding amounts of resources received from the sources for a plurality of relationship instances each associated with one or more respective domains of a plurality of domains. For each relationship instance of the plurality of relationship instances: the system electronically identifies a rate to calculate an amount of resource due to one or more respective domains associated with the relationship instance based on a source of a resource received for the relationship instance and the one or more respective domains and calculates an amount of resources due to at least one respective domain associated with the relationship instance based on the identified rate. For each domain of the plurality of domains, the system aggregates a total amount of resources due to the domain based on the calculated amount of resources due for each relationship instance associated with the domain.

Abstract: Disclosed embodiments include determining whether the insurance claim comprises an anomaly based on whether the claim violates a rule in a Rules Engine or is scored by an Artificial Intelligence/Machine Learning engine below a threshold. When the claim comprises an anomaly, (i) for each feature of the claim, (a) determining a sensitivity value of the feature relative to each other feature of the claim, and (b) determining a saliency value of the feature relative categories relevant to the claim, and (ii) estimating a value of the claim based on a multi-variate linear regression model. And based on the sensitivity values, saliency values, and estimated value, recommending one or more ways to cure the anomaly based on (i) a Local Interpretable Model-Agnostic Explanations based recommendation and/or (ii) a Global Surrogate Model based recommendation.

Abstract: A tax data collection system includes a navigation module configured to obtain user data. The system also includes a data graph including information relating to the user data. The system further includes a knowledge engine configured to map the user data onto a data model using the information from the data graph. Moreover, the system includes an inference engine configured to suggest a system action by analyzing at least the data model after the user data has been mapped thereon.

Abstract: A service engine of a processor-based system determines an estimated amount of taxes due in association with a proposed transaction based on a risk tolerance value specified by a party to the transaction, such as a seller. Multiple classification code queries are generated for classifying an item that is the subject of the proposed transaction, from which a plurality of classification code candidates are determined. Each such classification code candidate is considered in determination of multiple corresponding possible tax-due amounts, and the taxes due for the proposed transaction are determined by the service engine based on a statistical calculation corresponding to the specified risk tolerance value. The service engine provides the estimated tax due amount to one or more parties to the proposed transaction.

Abstract: In embodiments, diagnostics are electronically determined and provided as to why historical resource values differ from resource values determined according to more-trusted ways. Historical relationship instance data regarding a plurality of historical relationship instances between a primary entity and a plurality of secondary entities are received along with a plurality of historical resource values, in which each historical relationship instance of the plurality of historical relationship instances is associated with a respective historical resource value of the plurality of historical resource values. The system produces a respective trusted resource values based on the respective historical relationship instance. Based on differences between the respective trusted resource value and the respective historical resource value associated with the dataset, the system outputs one or more diagnostic comments associated with the detected difference.

Abstract: A clinical data processing system comprising a processor; a memory operatively coupled to the processor, the memory storing executable instructions providing a user interface module configured to receive participant data and store it as participant data in the memory; a schema management module configured to receive input via the user interface module, the schema management module comprising rules for determining withholding amounts for payments due to a participant in view of applicable schema data and participant data stored in the memory; and a participation aggregation module configured to receive input via the user interface module, the participation aggregation module comprising rules for determining whether to permit or defer payments due to the participant in view of aggregated payments due to a participant as reflected in participant data stored in the memory.

Abstract: An illustrative embodiment provides a computer-implemented method, computer system, and computer program product for identifying potential client churn. Client profile information is aggregated for a set of clients. Tax services data related to providing tax services for the set of clients is aggregated. A number of former clients who have terminated the tax services is modeled according to the client profile information and the tax services data. The client profile information and the tax services data for a number of current clients who have not terminated the tax services is compared to the modeled number of former clients. A number of at-risk clients is identified from among the number of current clients based on dissimilarities between the current clients and the former clients. The number of at-risk clients are displayed on a graphical user interface.

Abstract: A system, method and apparatus for cross jurisdictional internet enforcement are provided. An intermediation server receives data indicative of on-line communications between at least one communication device and at least one on-line sales presence, determines that the data indicative of the on-line communications is associated with legal data associated with the on-line sales presence and when the legal data meets a given criteria, triggers remedial legal action.

Abstract: A service engine determines that an entity meets a first nexus establishment condition for a first domain and a second nexus establishment condition for a second domain. The service engine then computes a first selected resource for the first domain and a second selected resource for the second domain. When the service engine determines that the entity no longer meets the second nexus establishment condition for the second domain, the service engine determines a nexus-ending date for the second domain. Prior to the nexus-ending date being satisfied, the service engine continues to compute the first selected resource for the first domain and the second selected resource for the second domain. In response to the nexus-ending date being satisfied, the service engine computes the first selected resource for the first domain but does not compute the second selected resource for the second domain.

Abstract: Certain aspects of the present disclosure provide techniques and systems for automatically detecting, tracking, and processing certain information content, based on voice input from a user. A voice enabled content tracking system receives natural language content corresponding to audio input from a user. A determination is made as to whether the natural language content includes a first type of information, based on evaluating the natural language content with a first machine learning model. In response to determining the natural language content comprises the first type of information, a temporal association of the first type of information is determined, based on evaluating the natural language content with a second machine learning model, and a message including an indication of the temporal association of the first type of information is transmitted to the user.

Abstract: A service engine determines that an entity meets a first nexus establishment condition for a first domain and a second nexus establishment condition for a second domain. The service engine then computes a first selected resource for the first domain and a second selected resource for the second domain. When the service engine determines that the entity no longer meets the second nexus establishment condition for the second domain, the service engine determines a nexus-ending date for the second domain. Prior to the nexus-ending date being satisfied, the service engine continues to compute the first selected resource for the first domain and the second selected resource for the second domain. In response to the nexus-ending date being satisfied, the service engine computes the first selected resource for the first domain but does not compute the second selected resource for the second domain.

Abstract: 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.

Abstract: Managing worksheet access including receiving a request from a first user account to access a worksheet shared from a second user account, wherein the worksheet comprises a worksheet architecture for at least one data set from a database; determining that the first user account is authorized to access the worksheet architecture of the worksheet; determining that the first user account is authorized to access the at least one data set presented by the worksheet; and granting the first user account access to the worksheet in response to determining that the first user account is authorized to access the worksheet architecture of the worksheet and determining that the first user account is authorized to access the at least one data set presented by the worksheet.

Abstract: Methods, systems, and apparatuses for blockchain-based digital token utilization are described herein. Data corresponding to digital tokens may be stored on a blockchain associated with a decentralized peer-to-peer (P2P) network. Smart contracts for collecting digital tokens in exchange for service provider tokens may be deployed to the blockchain. Smart contracts for distributing digital tokens based on credit tokens may be deployed to the blockchain. Through execution of the smart contracts, digital tokens may be utilized by users in various ways.

Abstract: A method and system to learn new forms to be incorporated into an electronic document preparation system, or to learn the behavior of existing systems, receive form data related to a new form having a plurality of data fields that expect data values based on specific functions. The method and system gather training set data including previously filled forms having completed data fields corresponding to the data fields of the new form. The method and system include multiple analysis modules that each generate candidate functions for providing data values for the data fields of the new form. The method and system evaluate the candidate functions from each analysis technique and select the candidate functions that are most accurate based on comparisons with the training set data.

Abstract: A system for account mapping includes functionality for obtaining more than one labeled accounts labeled by more than one accountant; pre-processing more than one labeled accounts using natural language processing, using the more than one pre-processed labeled accounts to train an account mapping model that performs multinomial classification; receiving an account name from an accounting application where the account name includes a text label for an account included in a chart of accounts; generating an account mapping by applying the account mapping model to the account name, where the account mapping includes a type of the account, a sub-type of the account, a code, and a series associated with an accounting form; returning the account mapping to the accounting application through an Application Programming Interface (API); and receiving a corrected account mapping from an accountant and using the corrected account mapping as a new text label to incrementally update the account mapping model.

Abstract: Set analysis may be used to determine the best data analysis model(s) (e.g., data charts, data tables, data graphs, data maps, graphical objects, key performance indicators (KPIs), etc.) for representing the results of an undetermined query (e.g., an imprecise query, an undefined query, an incomplete query, a partially expressed query, a portioned query, etc.).

Abstract: In embodiments, diagnostics are electronically determined and provided as to why historical resource values differ from resource values determined according to more-trusted ways. Historical relationship instance data regarding a plurality of historical relationship instances between a primary entity and a plurality of secondary entities are received along with a plurality of historical resource values, in which each historical relationship instance of the plurality of historical relationship instances is associated with a respective historical resource value of the plurality of historical resource values. The system produces a respective trusted resource values based on the respective historical relationship instance. Based on differences between the respective trusted resource value and the respective historical resource value associated with the dataset, the system outputs one or more diagnostic comments associated with the detected difference.

Abstract: A system includes an OAI gateway; and a main server coupled to the OAI gateway via a network, and configured to be accessed by client workstations, the main server including: an OAI listener coupled to the OAI gateway; a notification server coupled to the OAI listener; and a memory defining a database and coupled to the OAI listener; the main server being configured to present to a workstation a user-fillable intake form having a plurality of questions, to be filled by an intake clerk, and the main server configured to receive answers to the questions from the workstation, and to present a score total to the workstation indicating whether to accept the potential customer, the score total varying depending on the received answers; and the system being configured to perform an automated action in response to the score total being above or below a predetermined threshold value. Other systems and methods are also provided.

Abstract: A system for network-scale parallel computing comprises a set of computer-readable instructions implementing the steps of executing a computational process from at least one client node by communicating via a content addressable service network implemented using the Tuple Space abstraction, data parallel semantics and Unidirectional Virtual Ring architecture, with any number of service computers, networks and storage to deliver lossless, non-stop services. A network-scale distributed storage system, an enhanced Domain Name System (DNS) system, a network-scale database system and a network-scale hybrid transactional analytical processing systems are also described.

Abstract: Systems, methods and articles of manufacture for performing a comparison of tax results based on different sets of tax data, and generating an explanation as to why the tax results differ or do not differ due to the differences in the tax data. The system includes a computing device, a data store in communication with the computing device and a tax preparation software application executable by the computing device. The tax preparation software application has a tax calculation engine, a tax calculation graph, and a change analysis engine. The tax calculation engine is configured to perform a plurality of tax calculation operations based on the tax calculation graph. The change analysis engine is configured to determine whether tax results based on different tax data differ or do not differ. The system may also generate explanation(s) of the reasons that the tax results differ or do not differ due to the different tax data.

Abstract: A method at an analytics module on a computing device, the analytics module being at a tier within a hierarchy of analytics modules and data sources, the method including receiving a first data set from a data source or a lower tier analytics module; analyzing the first data set to create a second data set; providing the second data set to at least one higher tier analytics module, the second data set being derived from the first data set; and providing at least one of an inference and an interdiction to the lower tier analytics module.

Abstract: A system and method for developing a secondary market for transferring and acquiring mortgages is disclosed. The system offers an alternative to the expensive and wasteful proposition of foreclosures. Using the disclosed system, mortgagees holding a security interest in distressed properties can harness the power of computer technology and intelligent processing of data to rapidly perform actuarial analysis and generate documents that enable interested buyers to acquire mortgages through a mortgage transfer process. The system disclosed creates a secondary market of transferrable mortgages and is designed to be beneficial for new buyers where the equity in the existing mortgage is used for down-payment; or excess equity is used to make a one time payment to the original property owner. The system disclosed offers benefits to all key players—investors, banks, purchasers and realtors, and prevents waste and enables distressed properties to command their market value.

Abstract: In various example embodiments, systems and methods for building data cubes to be stored in a cube store are presented. In some embodiments, a metadata engine generates the cube metadata. In further embodiments, cube data is generated by a cube build engine based on the cube metadata and source data. The cube build engine performs a multi-stage MapReduce job on the source data to produce a multi-dimensional cube lattice having multiple cuboids. In further embodiments, the cube data is provided to the cube store.

Abstract: A service engine determines that an entity meets a first nexus establishment condition for a first domain and a second nexus establishment condition for a second domain. The service engine then computes a first selected resource for the first domain and a second selected resource for the second domain. When the service engine determines that the entity no longer meets the second nexus establishment condition for the second domain, the service engine determines a nexus-ending date for the second domain. Prior to the nexus-ending date being satisfied, the service engine continues to compute the first selected resource for the first domain and the second selected resource for the second domain. In response to the nexus-ending date being satisfied, the service engine computes the first selected resource for the first domain but does not compute the second selected resource for the second domain.

Abstract: Tax balancing comprising receiving tax balancing requests from a number of clients and distributing each client tax balancing request among a number of nodes comprising a cluster. Nodes are added to the cluster according to processing needs of a client tax balancing request. A number of actors are created within each node for each employee of a client, wherein each actor performs a specified computational task related to tax balancing for the employee, and wherein actors are added to a node according to processing needs of a client tax balancing request, and processing load is balanced within the cluster by redistributing actors from nodes with the highest processing loads to nodes with the lowest processing loads. Employee tax balancing calculations are aggregated for each client, and tax balancing filing and payment data for each client are output to a database.

Abstract: A distributed transaction management computing system is configured for detecting transaction-specific data discrepancies that result from data calculations performed by different processing instances executing on geographically-distributed computing entities. The transaction-specific data discrepancies are identified via a network-accessible operations computing entity in electronic communication with a plurality of geographically-distributed edge computing entities. The operations computing entity defines at least two separate processing instances, wherein a first processing instance is configured to generate secondary data for individual transactions in the event that the edge computing entities do not themselves generate the transaction-specific secondary data; and wherein a second processing instance is configured to generate audit data for individual transactions.

Abstract: Methods and a system for generating and employing dimensionality-reduction for generating statistical models. Traditionally, constructing models used for statistical analysis has been a laborious process requiring significant amounts of analyst input and processing time. Embodiments of the inventions address the above problem by providing an efficient method for pre-screening variable to automatically prune the dimensionality of the input space to a tractable size while retaining the most predictive power possible.

Abstract: Systems and methods that may be used to allow married couples to prepare separate individual tax returns while also being able to evaluate the merits of filing a joint return in a manner that does not breach each spouse's financial privacy.

Abstract: A processor may filter data to generate a subset of the data less than an entire set of the data. The subset may include at least one string and at least one numeric value. The processor may match the at least one string and the at least one numeric value to one of a plurality of archetypes by applying a clustering algorithm. Each archetype may include a subset of archetype data less than an entire set of archetype data. The processor may compare the entire set of data to the entire set of archetype data to identify at least one difference between the entire set of data and the entire set of archetype data. The processor may apply at least one optimization to address the at least one difference.

Abstract: Instances of claim data are received by an apparatus. Each instance of claim data corresponds to an entity. A claim vector is generated for each instance of claim data. The claim vector is added to a group of claim vectors that all correspond to a same entity. Each group of claim vectors is aggregated to generate an entity vector corresponding to the entity. Based at least in part on the entity vector and (a) an entity profile corresponding to the corresponding entity or (b) an entity cluster with which the entity is associated, at least one behavior signal value is determined for the entity. A behavior signal is amended to include the behavior signal value. The behavior signal comprises at least two behavior signal values. Each of the behavior signal values are associated with a different time period. The behavior signal is provided for display via an interactive user interface and/or further processing.

Abstract: Technology is described for implementing and managing loans made against projected tax refunds. In one example, a payment service system receives a request for a loan against an expected tax refund for a user. The payment service system can determine a confidence score for loan repayment and can generate an offer for the loan based on the confidence score. Upon acceptance of the offer, the user can be provided with funds for the loan.

Abstract: System, method and media for the provision of relevant information, tax regulations and other advice for the preparation of the return to the user of the tax preparation system. This can be done by developing a profile of the taxpayer as the user moves through the process of preparing the tax return. When a user views a tip or help article, the impact on the outcome of the return is noted. If the impact is a positive one, then the tip or help article may be automatically presented to future users with similar taxpayer profiles. In this way, users can maximize the benefit of the return for the taxpayer while increasing the accuracy of the prepared return.

Abstract: A system comprises an enterprise network system and engine. The engine has a discovery module coupled to a switch device, an AI and machine learning based monitoring and detection module coupled to the switch device, and a remediation module coupled to the switch device. The remediation module is configured to initiate a remediation process based upon the detection of at least one of the anomalies from the flow of data.