Abstract: Systems and methods for automated test data microservices are provided. Test versions of software (such as an Application Programming Interface (API)) may be configured to automatically generate test data and to call a microservice to manage the test data. The microservice may automatically add and remove the test data from an operational data store to facilitate the testing process and to automatically perform setup and teardown stages of the testing process.

Abstract: A system includes a network interface, a processing system, and a memory system. The memory system stores instructions that when executed by the processing system result in receiving a request and request data associated with a user from a web server and analyzing the request data to identify one or more data gaps associated with the request. One or more third-party services are called to fill at least a portion of the one or more data gaps. A question set is prepared based on determining that the one or more data gaps remain at least partially unfilled. The question set is selected by a machine-learning component trained to adapt a sequence and content of the question set over a plurality of interactions with a plurality of users. The question set is transmitted to the web server for presentation to the user. Data exchanges can be authenticated using tokens.

Abstract: An Artificial Intelligence (AI) three-dimensional modeling system that analyzes and segments imagery of a room, generates a three-dimensional model of the room from the segmented imagery, identifies objects within the room, and conducts an assessment of the room based on the identified objects.

Abstract: Systems and methods for multivariate Artificial Intelligence (AI) smart cards are provided. An AI smart card may include, for example, pre-stored policy data that may be utilized as a portion of multivariate input by a suite of AI modules to formulate and analyze a claim of loss.

Abstract: Systems, apparatus, methods, and articles of manufacture provide for evaluation of and prediction for data queries (e.g., SQL statements). In one example implementation, a controller device trains a data model for classifying input SQL queries. The controller classifies each input SQL query by testing it against the data model, without requiring actual execution of the SQL query.

Abstract: An Artificial Intelligence (AI) roof deterioration analysis system that tracks changes in roofs over time by evaluating a series of features in high-resolution images.

Abstract: Systems, methods, and articles of manufacture provide for systemic resource utilization analysis and management, such as employing a single-point sensor to detect or identify resource leakage at one or more other locations in a structure.

Abstract: A system includes a processing system and a memory system. The memory system stores instructions for identifying a cloud application in a cloud environment as a non-disposable application and monitoring a plurality of instances of the non-disposable application running in the cloud environment. The instructions when executed by the processing system further result in determining that a number of the instances of the non-disposable application should be modified based on one or more demand predictions by an artificial intelligence scaler, adjusting the number of the instances of the non-disposable application running in the cloud environment based on the one or more demand predictions, and modifying an allocation of one or more resources of the cloud environment associated with adjusting the number of the instances of the non-disposable application.

Abstract: A system includes one or more code development servers operable to monitor development of code files and one or more code execution servers operable to execute the code files. One or more code analysis tools of the system include instructions that when executed by at least one processing device result in collecting code development data associated with development of the code files on a per user basis and determining a predicted code execution performance score of one or more selected files of the code files based on the code development data. One or more resources of the one or more code execution servers associated with execution of the one or more selected files are predictively allocated based on a predicted code execution performance score. One or more code execution metrics are captured associated with executing the one or more selected files on the one or more code execution servers.

Abstract: Systems, apparatus, methods, and articles of manufacture for Artificial Intelligence (AI) driving analysis and incentives, by utilizing on-board image object analysis to classify driving events and provide driving-based awards.

Abstract: Systems and methods for automated test data microservices are provided. Test versions of software (such as an Application Programming Interface (API)) may be configured to automatically generate test data and to call a microservice to manage the test data. The microservice may automatically add and remove the test data from an operational data store to facilitate the testing process and to automatically perform setup and teardown stages of the testing process.

Abstract: A system for a product navigator is provided. The system receives a search string at a business-type classification interface on an interactive user display. A search type associated with the search string may be determined based on a search type selection from a plurality of search types. A search of a database may be initiated for an entry matching the search string according to the search type, where the entry has corresponding business-type classification data including a brief classification description, an extended classification description, and an associated classification code. The brief classification description and the extended classification description may be output on the interactive user display based on receiving the corresponding business-type classification data from the database.

Abstract: Systems and methods for asynchronous API-driven external application services for blockchain are provided. The blockchain may store profile data that permits asynchronous communications and data sharing among a plurality of trusted users, and an application server layer may act as a gateway to a blockchain system to selectively provide limited access to external application services to operate upon the blockchain data.

Abstract: A system includes a network interface configured to access an enterprise data warehouse and an enterprise abbreviation list that maps enterprise terms to abbreviations. A processing device can communicate with the network interface and a memory device that stores instructions to analyze the enterprise data warehouse to determine name attribute scores based on occurrences of the enterprise terms and the abbreviations in the enterprise data warehouse. Execution of the instructions can also generate a scoring summary of phrases, apply fuzzy reasoning logic to identify one or more relationship patterns and weights for the phrases including at least one shared word to produce training data for a data model associated with the enterprise data warehouse, and update the data model with a new abbreviated field name associated with a new field name based on identifying a closest match of the new field name with the training data.

Abstract: A system includes a processing device and memory device configured to access an email message received at a mail server, extract a plurality of correspondence data from the email message, and apply a correspondence classifier to the correspondence data to determine a request type of the email message. The processing device is further configured to extract a plurality of entities from the email message in a free-form format, where extracting is performed based on determining that the request type is supported. The processing device can also determine a confidence level of the extracting of the entities, perform a lookup of the entities in one or more records of a database based on determining that the confidence level is above a confidence threshold, and generate a new processing request including prepopulated data fields populated with the entities based on identifying a match in the one or more records of the database.

Abstract: Methods, systems, and software are disclosed for connecting insurance company customers contacting the insurance company to independent insurance agents.

Abstract: Systems, apparatus, methods, and articles of manufacture for cooperatively-overlapped and Artificial Intelligence (AI)-managed interfaces. For example, multiple cooperatively and/or partially overlapped interfaces may be provided (e.g., via an electronic and/or touch-screen device), with such interfaces being dynamically managed by various AI components, such as natural language processing, machine learning techniques, and/or neural network data processing.

Abstract: Systems, apparatus, methods, and articles of manufacture for Artificial Intelligence (AI) theft prevention and recovery, such as by utilizing image object analysis to identify and report pilfering-type cargo or materials theft events.

Abstract: A method includes receiving a plurality of sets of extracted data from one or more devices under analysis. An evidence storage server generates a plurality of evidence packages based on a first copy of the plurality of sets of extracted data from the one or more devices under analysis. A virtual desktop server generates one or more virtual desktop sessions that interface with one or more analysis workstations and interface with the evidence storage server to access the first copy of the sets of extracted data in the evidence packages. One or more associated work products are stored in the evidence packages based on a forensic analysis of the first copy of the sets of extracted data in the evidence packages. The one or more associated work products are stored with a second copy of the sets of extracted data to an archive system including a plurality of storage arrays.

Abstract: Location information may be gathered, managed, stored, and/or otherwise utilized to determine unique geo-referenced locations. The geo-referenced locations may be utilized to inform various processes and decisions such as insurance underwriting, risk assessment, pricing, and risk/loss control. Geo-referenced location information may also be utilized to allow for user-defined or customized value subject data gathering, analysis, and management.