Abstract: A method and system are provided to infer and use machine learning algorithms that is applied to financial data and also to determine: (i) compliance with the applied algorithms, and (ii) whether any exceptions to and/or variations from the algorithms are within an organization's norms. A method includes: receiving financial data; applying a set of dynamic or interdependent algorithms to the received financial data to obtain a set of outcomes; and using a machine learning classifier to classify the outcomes as: (i) algorithm compliant, (ii) potentially algorithm non-compliant, or (iii) algorithm non-compliant. Additionally, the method includes generating controllership persona based actionable triggers, which on acceptance corrects the anomalies in financial data, enabling the method and system to perform as a comprehensive, contextual, consistent & machine learning powered, persona based real time controllership engine leading to reduced misstatements in reported financial data.

Abstract: Methods, apparatus, and processor-readable storage media for request processing for configurable information technology solutions are provided herein. An example method includes obtaining a request that is to be processed based on a current configuration of a system, wherein the system comprises a plurality of items and each item comprises a set of components, each of the components having one of a plurality of types; obtaining component-level information for the plurality of items from multiple data sources; determining the current configuration of the system by applying one or more rules to the component-level information that identify at least one particular one of the types of at least one of the components in each of one or more of the sets and a quantity of the components of the at least one particular type that are in the corresponding set; and processing the request based on the determined current configuration.

Abstract: The disclosed embodiments include systems and methods for extracting information from a transaction description. In one embodiment, a system is disclosed that may include one or more processors and one or more memory devices storing instructions that, when executed by the one or more processors, performs operations consistent with the disclosed embodiments. In one embodiment, the operations may include receiving a transaction description. The operations may also include identifying known location information corresponding to the transaction description and determining whether information from the transaction description corresponds to the identified known location information. The operations may further include removing location information from the transaction description based on the determination. In another aspect, the operations may also include extracting additional location information from the transaction description that is not associated with the known location information.

Abstract: A stocker system for transporting a good via a transport vehicle to a stocker with multiple storage compartments, the stocker system including: a stocker information memory section configured to memorize stocker information including arrangement position information of the storage compartments in the stocker, and information of presence or absence of the good in the storage compartments; a stocker information updating section configured to update the stocker information in accordance with the goods being taken in and out of the storage compartments; and a stopping position setting section configured to acquire the arrangement position information of an empty storage compartment from the stocker information and to set a stopping position of the transport vehicle for the good to be put into the empty storage compartment based on the acquired arrangement position information of the empty storage compartment.

Abstract: Disclosed are systems, methods, and apparatus of an automated and self-service kiosk that allows customers to select inventory items available from the kiosk and walk or move away with selected inventory item(s) without having to process payment, identify the inventory item(s), or provide any other form of checkout. After a customer has picked one or more items and departed the kiosk, the picked items are determined and the customer charged for the items. For example, one or more of detected weight changes measured at the kiosk and/or images generated at the kiosk may be used to identify items picked by the customer from the kiosk.

Abstract: The invention includes an activity investigation and response tool which comprises both a quantum computing element and a machine learning or artificial intelligence model in order to analyze historical data and build a reference point for examining real time data streams. The activity investigation and response tool may seamlessly interact with entity systems in order to transmit findings for display via classical computing systems, and potentially for human review. Qubits from historical data are entangled with real time input streams in an iterative fashion in order to locate best-correlation output and decisioning.

Abstract: Embodiments of the invention relate to generating compliance scores based on first party data on a second party system for viewing by a third party.

Abstract: A system for managing proppant inventory includes a plurality of silos, each silo having a sensor to sense a proppant level of proppant stored therein. The system also determines an amount of proppant that is expected to become available, and automatically creates and sends an order to request additional proppant upon determining that the combination of the proppant level within the at least one of the plurality of silos and the amount of proppant that is expected to become available is less than a predetermined threshold or expected to fall below the predetermined threshold. The system also automatically selects one or more of the plurality of silos to unload the additional proppant into based upon the proppant level in each of the plurality of silos at the time of unloading the additional proppant and at least one of a user preference parameter or historical data from a previous operation.

Abstract: Siamese neural networks (SNN) are configured to detect differences between financial transactions for multiple financial institutions and transactions for a target party. A first neural network of the SNN tracks transactions (target transactions) for a particular customer or financial institution over time and provides a target output vector. Similarly, a second neural network of the SNN tracks transactions (baseline transactions) for all or a plurality of financial institutions (e.g., within a region) over the same period of time and provides a baseline output vector. The transactions for all or a plurality of financial institutions act as a baseline of transactions against which potentially fraudulent or money laundering activity may be compared. Because Siamese neural networks account for temporal changes based on the baseline of transactions, sudden changes in target transactions will only trigger an alarm if such changes (e.g., deviations or drifts) are relative to a baseline of transactions.

Abstract: A method for managing mainframe billable resources for a plurality of mainframe environments is provided. The method includes receiving a job file from a user, the job file including a batch file relating to a mainframe job and a mainframe task; identifying an override statement in the job file; determining, based on a result of the identifying, a mapping strategy according to a predetermined criterion, the mapping strategy relating to a mapping of the job file to a billing entity identifier; authorizing the job file based on the billing entity identifier and a logon identifier corresponding to the user; mapping the job file to the billing entity identifier based on the determined mapping strategy; recording, in a memory, information relating to the mapping; and executing, in a mainframe environment, the job file.

Abstract: A method and apparatus for generating and using immutable records generated from transaction records maintained at a cloud storage system for transaction ledger generation are described. The method may include accessing transaction records in a transaction record data store maintained by a cloud services provider system, where each transaction record generated by the commerce platform in response to the commerce platform processing a transaction. The method further includes accessing a plurality of revenue records, each having a unique key. The method may also include generating a plurality of candidate ledger entries, each candidate ledger entry comprises at least a subset of the plurality of data fields from the revenue record data object, and determining whether a revenue record matches a candidate ledger entry based on a comparison of the unique key.

Abstract: Embodiments include apparatuses, methods, and systems for performing security protection of association between a user device and a user. A computing system receives from a service provider a notification that an identifier of a user device has been activated in the user device to be associated with a user identifier to replace an existing identifier of the user device associated with the user identifier. The computing system further receives from the user device a request for information associated with the user identifier to be sent to the user device associated with the identifier of the user device. Before sending the requested information to the user device, the computing system verifies the identifier of the user device has been activated by the user by an additional authentication of the user through a communication path between the user and the computing system. Other embodiments may also be described and claimed.

Abstract: Methods, systems, and computer-readable storage media for receiving a first bank statement at a hybrid pipeline including a set of lookup tables and a deep learning (DL) model that can each be used to determine customer IDs from bank statements, providing a first key based on data associated with the first bank statement, and determining that the first key is included in a first lookup table of the set of lookup tables, and in response: identifying a first set of customer IDs from the first lookup table, the first set of customer IDs including one or more customer IDs, and outputting the first set of customer IDs to computer-executable software that matches the first bank statement to one or more electronic documents at least partially based on the first set of customer IDs.

Abstract: Provided is a disclosure for using indicia to handle information for use in material preparation and analysis equipment.

Abstract: Techniques for detecting fraud may include obtaining a merchant's financial data; determining, via a machine learning model, a first prediction of the merchant's industry; generating a first probability matrix based on the first prediction and the declared information regarding the merchant's industry; determining, via the machine learning model, a second prediction of the merchant's industry; generating a second probability matrix based on the second prediction and the declared information regarding the merchant's industry; obtaining a declared industry of a subject merchant in a runtime environment; determining, via the machine learning model, a predicted industry for the subject merchant; obtaining, based on the declared industry and the predicted industry of the subject merchant, a first value from the first probability matrix and a second value from the second probability matrix; and labeling the subject merchant for further investigation.

Abstract: According to an embodiment, an accounting apparatus includes a change machine, a detection device, and a controller. The controller determines whether or not the change machine is capable of paying change in cash on the basis of a result of a detection by the detection device. The controller accepts, when determining that the change machine fails to pay the change in cash, a payment method selected by a customer from a plurality of change payment methods other than paying in cash.

Abstract: A payment handling system may operate to handle payments for the cost of a transaction in which one or more devices operate in an offline mode. The payment handling system may allow for merchant devices to make modifications to local versions of an open ticket while in an off-line mode. When a merchant device subsequently enters an online mode, the systems and techniques may operate to reconcile differences between the local versions of the open ticket.

Abstract: A multi-dimensional recommended order system generates recommended orders for configurable products. The multi-dimensional recommended order system generates the recommended orders based on a multi-dimensional demand and sales metrics analysis. The multi-dimensional recommended order system determines the recommended order for each product configuration with a goal of moving a future supply mix of complex products to an optimized target supply mix. The recommended order can be generated and evaluated based on demand analysis of not only configured products but also based on analysis for demand of particular product dimensions. Thus, the system determines a recommended order for each configurable product by minimizing imbalances between future supplies and target supplies of product configurations and future supplies and target supplies of dimensions of the product configurations.

Abstract: A computing system can receive a primary authorization request corresponding to use of a prepaid payment means of a user of a transaction service for a transaction with a merchant. Based on receiving the primary authorization request, that system can determine that an account balance corresponding to the prepaid payment means comprises inadequate funds to fulfill the transaction. In response, the system can automatically transmit a secondary authorization request to a financial entity associated with an account of the user, and subsequently receive an approval of the secondary authorization request, which enables the system to utilize the account of the user to make up for the inadequate funds of the account balance of the prepaid payment means.

Abstract: Media, methods, and systems are disclosed for applying a computer-implemented model to a table of computed values to identify one or more anomalies. One or more input forms having a plurality of input form field values is received. The input form field values are automatically parsed into a set of computer-generated candidate standard field values. The set of candidate standard field values are automatically normalized into a corresponding set of normalized field values, based on a computer-automated input normalization model. An automated review model controller is applied to automatically identify a review model to apply to the set of normalized field values, based on certain predetermined target field values. The automatically identified review model is then applied to the set of normalized inputs, and in response to detecting an anomaly, a field value is flagged accordingly.