Abstract: Systems and methods for secure mobile checkouts are disclosed. The system may include a secure mobile checkout device configured to scan products available in a merchant store. The device may scan the product to determine a product identifier. The device may transmit the scanned product data to a checkout application to retrieve product data corresponding to the product identifier. In device may initiate a transaction with a payment network to purchase the product, based on the product data provided by the checkout application. The payment network may process the transaction, and may authorize the purchase with the merchant.

Abstract: At least some embodiments are directed to a system that receives from an online portal loaded in a computing device, a user request to instantiate a server cluster in a hybrid computer network. The system authenticates and redirects the user request to a selected computer network configured in the hybrid computer network. The system instantiates the server cluster in the selected computer network causing the server cluster to initiate a microservice agent during bootup. The system sends a command to the server cluster to initiate the execution of a process and receives from the microservice agent event data associated with the process. The system inputs the event data into a trained machine learning model to determine a first execution state of the process and sends a command to change the first execution state of the process to a second execution state.

Abstract: A system for a bot factory environment is disclosed. The system may receive a graphical process model. The system may compile a bot based on the graphical process model. The system may validate the bot to generate a validated bot. The system may register the validated bot to a registry table. The system may deploy the validated bot to a runtime environment.

Abstract: Systems and methods for peer-to-peer secure document exchange are disclosed. The system may allow a document provider to securely transmit a certified document to a document verifier using decentralized storage. The verifier system may generate a session key pair and transmit the session public key to a trusted API provider. The trusted API provider may generate a session nonce. The verifier system may transmit the session nonce to the provider system. The provider system may use the session nonce to retrieve the session public key. The provider system may encrypt a certified document using the session public key and store the encrypted certified document in the decentralized storage. The verifier system may retrieve the encrypted certified document by polling the trusted API provider based on the session nonce. The verifier system may decrypt the encrypted certified document using the session private key.

Abstract: At least some embodiments are directed to an insights inference system that produces multiple insights associated with an entity. The insights inference system generates a decision tree machine learning model, assigning a first insight to a parent node of a decision tree machine learning model and assigning at least one second insight to child nodes of the decision tree machine learning model. Each child node is associated with a sequence number and a rank number. The sequence number and the rank number are indicative of a significance associated with the at least one second insight. The insight inference system responds to queries by traversing the decision tree machine learning model to compute at least one response insight based on the sequence number and the rank number associated with each child node and outputs the at least one response insight to a client terminal.

Abstract: In various embodiments, a micro registry may be a mobile communication platform that is configured to connect to users and service hosts. The micro registry may facilitate advertisements, payments, communication, loyalty, behavior tracking, social media interaction, and/or any other suitable communication advertising, or transaction between a user and a service host. The micro registry may employ BLE beacons that enable the micro-registry to identify micro-locations and facilitate connections (e.g., interfaces, interactions, communications, etc.) between user devices and service hosts and/or merchants.

Abstract: Disclosed are various approaches for providing a natural language interface for searching databases. A natural language query is parsed to identify a plurality of tokens. At least one operator is identified with a machine-learning model based at least in part on the plurality of tokens. Next, at least one attribute and at least one respective attribute value are identified with a machine-learning model based at least in part on the plurality of tokens. Then, at least one constraint is identified with a machine-learning model based at least in part on the plurality of tokens. Finally, a machine language query is generated based at least in part on the at least one operator, the constraint(s), the attribute(s), and the respective attribute value(s).

Abstract: A funds-transfer system enables a buyer to transfer funds to a seller via a mobile telephone. The system receives a payment request transmitted from a mobile telephone of the buyer. The payment request is for a transfer of funds from a financial account held by the buyer to a financial account held by the seller, and the payment request is transmitted from a payment application stored in the buyer's mobile telephone. The payment request identifies a purchase amount to be transferred, and information identifying the financial account held by the buyer. The system charges the purchase amount to the financial account held by the buyer and transfers the purchase amount to a financial account held by the seller.

Abstract: A system provides an end-to-end solution for invoice processing which includes reading files (such as pdfs and images), extracting key relevant information from the files, organizing the relevant information in a structured template as a key-value pair, and comparing files based on the similarities between different file fields to identify potential duplicate files.

Abstract: Disclosed are various embodiments for executing entity-specific cryptographic code in a cryptographic coprocessor. In one embodiment, an exemplary method comprises receiving encrypted code that includes implementing a cryptographic algorithm from a service via a network, wherein the encrypted code further includes a symmetric encryption key; decrypting, by a cryptographic coprocessor, the encrypted code; executing, by the cryptographic coprocessor, the decrypted code to generate a cryptogram including information encrypted using the cryptographic algorithm and the symmetric encryption key; and sending the cryptogram to the service via the network.

Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.

Abstract: Disclosed are various embodiments for generating relevant notifications of content generated by third party data sources. In some embodiments, a system comprises a computing device and machine readable instructions. The computing device includes a processor and a memory. The machine-readable instructions can be stored in the memory that, when executed by the processor, cause the computing device to receive content from a third party data source based at least in part on a keyword topic. An embedding for the content is generated. The system can classify a portion of the content as associated with the keyword topic. Organizations can be identified from the portions of the content. The system can generate a list from the organizations identified in the content and transmit a notification to a client device regarding the content.

Abstract: A system for data migration is disclosed. The system may receive a migration request comprising a source file path and a target file location. The system may capture source file metadata based on the source file path and the migration request. The system may transfer a source file from a first data environment to an intermediate data environment via a first transfer process. The system may transfer the source file from the intermediate data environment to a second data environment via a second transfer process.

Abstract: An electronic record related to a first transaction of a user can be received at a point-of-sale device. A user interface with real-time transaction data can be generated and displayed on the user device. An eligibility of the first transaction for a reward program can be determined. A portion of the reward program based on said determined eligibility can be selected and the electronic record of the first transaction can be updated by modifying the real-time transaction data currently displayed within the UI.

Abstract: A method, system, and computer readable storage to implement a data marketplace which stored data assets, such as tables, models, variables, etc. All of the data assets (assets) can be searched and retrieved from the data marketplace notwithstanding that the assets can be stored at different locations, in different forms, and in different platforms through an entire big data system. The data marketplace also predicts and suggests assets which will be likely to be relevant to a user's current project.

Abstract: The present disclosure includes a system, method, and article of manufacture for generating an entity graph. The method may comprise determining a relationship between a first entity and a second entity based upon internal data, external data, and/or online data associated with the first entity, and generating the entity graph comprising at least two nodes and an edge connecting the at least two nodes. The method may further comprise, in various embodiments, tailoring marketing to the first entity based upon the entity graph, detecting fraud against the first entity based upon the entity graph, periodically updating the entity graph based upon new internal data and new online data, and/or adjusting the edge based upon a change in the relationship between the first entity and the second entity.

Abstract: A single sign-on system using blockchain is disclosed. The single sign-on system may interconnect various organization systems over a peer-to-peer network, with each organization system having a blockchain node and an application programming interface (API). The blockchain node invokes and uses a smart contract to write registration credentials to the blockchain during a registration process. During a login process, the blockchain node invokes the smart contract to determine whether login credentials match stored login credentials in the blockchain. In response to matching login credentials, the API may generate a single sign-on token that can be used by a user device to access one or more organization systems connected over the network.

Abstract: At least some embodiments are directed to a computer-based cyber-attack frequency tracking system that determines types and frequencies of cyber-attacks. In at least some embodiments, the method of a cyber-attack frequency tracking system may operate a processor in an enterprise computing environment for automatically conducting a process that comprises receiving, a plurality of data values that represent a plurality of cyber-attacks. Determining cyber-attack types, and then determining the frequency of attempts and contacts with assets. After that determining likelihood values. Aggregating these determinations to produce a quantifiable value of a likelihood values of each of the plurality of cyber-attack types.

Abstract: A transaction card can be manufactured from rigid materials, such as glass, stone, or ceramics. The transaction card can have a first rigid layer having a first external surface and a first internal surface, with a pocket within the first external surface of the first rigid layer. The transaction card can have a second rigid layer having a second external surface and a second internal surface. A binding layer can be located between the first rigid layer and the second rigid layer can affix the first rigid layer to the second internal layer. An integrated circuit chip can be affixed within the pocket of the first rigid layer. A rim can extend from the first external surface of first rigid layer around a first edge of the first rigid layer and a second edge of the second rigid layer and onto the second external surface of the second rigid layer.