Abstract: A computerized method is disclosed including operations of receiving a data stream, performing a changepoint detection resulting in a detection of changepoints in the data stream including: maintaining a listing of starting indices for each run within the data stream in a buffer of size L wherein each index of the listing has a run length probability representing a likelihood of being a changepoint, receiving a new data point within the data stream and adding a new index to the buffer resulting in the buffer having size L+1, calculating a posterior run length probability that the new data point is a changepoint, and removing an index from the listing that has a lowest run length probability thereby returning the buffer to size L, and responsive to determining the index removed from the listing does not correspond to the new data point, identifying a changepoint associated with the new data point.

Abstract: Techniques for managing erasure of data are presented. In response to receiving a request for erasure of data from a set of data stores, an erasure component can analyze a set of rules and information relating to the user account, including an account status and erasure hold status associated with the user account. The set of rules can be based on legal or contractual obligations applicable to the set of data stores, and can indicate various conditions under which data associated with a user account of a user can be eligible to be erased from the set of data stores or an associated data vault repository. The erasure component can determine eligibility for erasure of all or a portion of the set of data from the set of data stores based on the analysis results. Erasure component can determine erasure eligibility scores to pre-qualify user accounts for erasure eligibility.

Abstract: In certain embodiments, multi-modal-based generation of settlement instructions may be facilitated. In some embodiments, a portfolio of a live environment may be emulated in a projected environment. A target portfolio may be generated in the projected environment based on the emulated portfolio. Partial synchronization between the target portfolio of the projected environment and the portfolio of the live environment may be performed such that a first subset of changes to the portfolio of the live environment are reflected in the target portfolio of the projected environment. Subsequent to the partial synchronization, the target portfolio of the projected environment may be updated such that the update of the target portfolio accounts for the first subset of changes. Subsequent to the update of the target portfolio, settlement instructions may be generated based on differences between the target portfolio of the projected environment and the portfolio of the live environment.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for an approach to predictive structuring of electronic data. The system uses data mining and data clustering techniques using classification models to organize feature column groups comprising feature columns. The system identifies and flags feature column groups and/or feature columns based on regulatory data standards provided by regulatory bodies. Thereafter, data objects are imported into the system and prediction algorithms are implemented to characterize the feature columns containing the data objects.

Abstract: Techniques are disclosed relating to implementing synthetic identifiers (IDs) for a non-relational database. A server system may operate a database, which includes receiving requests to access records of the database using synthetic IDs. But the database may be searchable using natural IDs. The server system may receive a request to insert a record. In response, the server system may obtain, from a first instance of multiple ID generator instances that implement a distributed ID generator service, a synthetic ID generated based on an identifier assigned to the first ID generator instance. The server system may insert the record with the synthetic ID and a natural ID that corresponds to one or more values of the record. The server system may cause the synthetic ID and the natural ID to be stored in an index of the database to enable the record to be accessed via the synthetic ID.

Abstract: Disclosed herein is a process that involves retrieving a data model for a data source, establishing at least one filter operation or at least one clean operation that modifies an aspect of the retrieved data model, onboarding underlying data from the data source while applying the established at least one filter operation or at least one clean operation, defining at least one transformation operation to apply to a portion of the underlying data that has been onboarded, and applying the at least one transformation operation to the portion of the underlying data to thereby assign the data to a semantic network, the semantic network comprising conceptual data components and associative data components.

Abstract: End-to-end encryption in a storage system with multi-tenancy, includes: performing deduplication on a first tenant dataset, the first tenant dataset including data encrypted using a first storage system encryption key; and performing deduplication on a second tenant dataset, the second tenant dataset including data encrypted using a second storage system encryption key, where deduplication is not performed between the first and second tenant datasets.

Abstract: The present embodiments may relate to secondary systems that verify potential fraud or the absence thereof. Artificial intelligence and/or chatbots may be employed to verify veracity of statements used in connection with insurance or loan applications, and/or insurance claims. For instance, a veracity analyzer (VA) computing device includes a processor in communication with a memory device, and may be configured to: (1) generate at least one model by analyzing a plurality of historical statements to identify a plurality of reference indicators correlating to inaccuracy of a historical statement; (2) receive a data stream corresponding to a current statement; (3) parse the data stream using the at least one model to identify at least one candidate indicator included in the current statement matching at least one of the plurality of reference indicators; and/or (4) flag, in response to identifying the at least one candidate indicator, the current statement as potentially false.

Abstract: A source computational instance may be configured to operate a software application and store a first set of content related to the software application. A target computational instance may be configured to operate the software application and store a second set of content related to the software application. The software application operated by the target computational instance may apply transformation rules to received content before storing the received content in the second set of content. The source computational instance may be further configured to receive selected content chosen from the first set of content and an indication of the target computational instance, and transmit the selected content to the target computational instance. The target computational instance may be further configured to receive the selected content, apply the transformation rules to the selected content, and store the selected content within the second set of content.

Abstract: A method, a computer system, and a computer program product for data validation in a microservice environment is provided. Embodiments of the present invention may include receiving a request based on an application configuration validation. Embodiments of the present invention may include determining a schema is not defined based on the request. Embodiments of the present invention may include generating the schema using machine learning. Embodiments of the present invention may include using the generated schema for a plurality of validations.

Abstract: A system, method, and computer-readable medium are disclosed for performing a data schema mapping operation. The data schema mapping operation includes receiving product information from a product supplier, the product information comprising a first document corresponding to a first data schema, the first data schema comprising an unspecified JavaScript Object Notation (JSON) schema; identifying a plurality of components within the first document corresponding to the first data schema, the plurality of components comprising a plurality of JSON data elements; compacting the plurality of JSON data elements via a data schema compacting operation to provide a set of compacted JSON data elements; identifying a second plurality of components corresponding to a second data schema, the second data schema comprising a defined data schema; and, mapping a component of the document corresponding to the first data schema to a component corresponding to the second data schema.

Abstract: Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices. The data subscription unit is in communication with a virtual machine that includes backtesting utility configured to generate backtesting data using one or more statistical models and one or more non-statistical models. The backtesting utility may translate the backtesting results into one or more interactive visuals, and generate a graphical user interface (GUI) for displaying the backtesting results and the one or more interactive visuals on a user device. The backtesting utility may update one or more of the displayed backtesting results and the one or more interactive visuals without re-running the modeling steps.

Abstract: An information management system including at least one data storage device and at least one processor coupled to the at least one data storage device. The at least one processor is configured to receive at least one object, the object having a location in a hierarchical file organizational structure. The processor also generates at least one prospective keyword for the at least one object based upon the location of the object in the hierarchical organization structure, and associates the at least one object with at least one of the prospective keywords.

Abstract: Techniques are provided for utilizing a log to free pages from persistent memory. A log is maintained to comprise a list of page block numbers of pages within persistent memory of a node to free. A page block number, of a page, within the log is identified for processing. A reference count, corresponding to a number of references to the page block number, is identified. In response to the reference count being greater than 1, the reference count is decremented and the page block number is removed from the log. In response to the reference count being 1, the page is freed from the persistent memory and the page block number is removed from the log.

Abstract: Systems and methods for understanding diverse machine learning models.

Abstract: A computer-implemented method is provided for managing and sharing picture files. In one embodiment of the present invention, the method comprises providing a server platform and providing a datastore on the server platform for maintaining full resolution copies of the files shared between a plurality of sharing clients. A synchronization engine is provided on the server platform and is configured to send real-time updates to a plurality of sharing clients when at least one of the sharing clients updates or changes one of said files. A web interface may also be provided that allows a user to access files in the datastore through the use of a web browser.

Abstract: Described herein are technologies that facilitate effective use (e.g., indexing and searching) of non-text machine data (e.g., audio/visual data) in an event-based machine-data intake and query system.

Abstract: In an embodiment, a query system sends compact code to a database service for expansion of the compact code to partially-expanded code and expanded code. In an embodiment, a hash value is generated based on the partially-expanded code and indexed in memory with the expanded code. In an embodiment, a hash value is received as part of a command and expanded code is identified based on the hash value and sent to a database service.

Abstract: System, method, and various embodiments for providing a data access and recommendation system are described herein. An embodiment operates by identifying a column access of one or more data values of a first column of a plurality of columns of a table of a database during a sampling period. A count of how many of the one or more data values are accessed during the column access are recorded. A first counter is incremented by the count. The sampling period is determined to have expired. A load recommendation on how to load data values into the first column based on the first counter is computed. The load recommendation for implementation into the database for one or more subsequent column accesses is provided.

Abstract: Methods, systems, and computer-readable media for a cloud-based database for spatial data lifecycle management. A spatial database receives elements of spatial data from a plurality of clients of the distributed spatial database. An individual element of the spatial data comprises one or more location values or one or more spatial objects. The spatial database stores the plurality of elements of spatial data using a plurality of storage resources. The spatial database receives a query. The spatial database determines one or more elements of spatial data matching the query from the plurality of elements of spatial data that were stored using the plurality of storage resources.