Abstract: Approaches are provided for a prediction model determining a prediction indicative of the authorized user being associated with at least one anomaly event. In one example, a computer system may receive data from different sources. For example, the system may receive data associated with use of one or more monitored units of an automated storage and retrieval location. The system may also receive request data associated with a request for execution of the monitored controlled unit by an authorized user to a target user. The prediction model of the system may utilize the received data to determine the prediction that the authorized user is associated with at least one anomaly event associated with a diversion of a monitored unit away from the target user. The system may then provide the prediction for presentation.

Abstract: Systems and methods for dynamic user profile projection are provided. One or more aspects of the systems and methods includes computing, by a prediction component, a predicted number of lookups for a future time period based on a lookup history of a user profile using a lookup prediction model; comparing, by the prediction component, the predicted number of lookups to a lookup threshold; and transmitting, by a projection component, the user profile to an edge server based on the comparison.

Abstract: A computer-implemented method for dynamically modifying at least one visualization, the method comprising: receiving data from at least one database, receiving configuration data from at least one user, based on the received data, generating at least one report that includes at least one visualization based on the received data and the configuration data, receiving at least one annotation from at least one additional user, the at least one annotation including one or more tokens, transmitting at least one search query to the at least one database, the at least one search query including at least one of the one or more tokens, in response to transmitting the at least one search query, receiving updated visualization data from the at least one database, and displaying the updated visualization on one or more user interfaces of one or more user devices.

Abstract: A computer-implemented method for transmitting and/or submitting digital content such as feedback for an entity to a blockchain is disclosed. This may be, for example, the Bitcoin blockchain. The method, which is implemented at a first node, includes: submitting, to the blockchain, a first transaction for committing a first quantity of tokens to transfer to a second node associated with the entity, the first transaction having a first output; generating a first content for submission to the blockchain; and submitting, to the blockchain, a second transaction that returns a second quantity of the committed first quantity of tokens to an address associated with the first node, the second transaction having the first output of the first transaction as an input, wherein the first content is used to unlock the first output of the first transaction.

Abstract: The disclosure relates to systems and methods of generating a grid pattern display from hierarchical data structures. A system may access a hierarchical data structure comprising a root node, a parent node, and a leaf node. The system may obtain a leaf node size and determine a margin for each cell and each group in the grid pattern to ensure uniform spacing for the leaf nodes in the grid pattern. The system may set presentation layer data based on the determined spacing to generate a set of data elements of the presentation layer. The system may split the set of data elements of the presentation layer based on a size of a display container, the display container being used to display the grid pattern. The system may consume the presentation layer into a display layer to render a grid transformation of the hierarchical data.

Abstract: Example file management systems and methods are described. In one implementation, a system detects a user entry in a document. The system then retrieves knowledge relevant to the user entry. The system also presents the knowledge to a user.

Abstract: A system is configured to replicate events to be processed by service regions. The system implements an event bus service that hosts an event bus in respective ones of a plurality of regions. The event bus service is configured to receive, at the event bus in a secondary region of the plurality of regions, a replicated indication of an event that is replicated from the event bus in a primary region of the plurality of regions. The event bus service determines, at the event bus in the secondary region, whether the primary region has completed processing of the event. Based on a determination that the primary region has not completed processing of the event within the pre-determined time period, the event bus service processes the event according to the replicated indication and indicates, in the replication record, that the secondary region has completed processing of the event.

Abstract: A system and method are disclosed for training a recommendation system. The method includes initiating, at a server device, an item-vector matrix V, wherein the item-vector matrix V includes a value m related to a total number of items across one or more client devices and a value d representing a hidden dimension, transmitting the item-vector matrix V to each client device, wherein each client device trains a local matrix factorization model using a respective user vector U and the item-vector matrix V to generate a respective set of gradients on each respective client device, receiving, via a secure multi-party compute protocol, and from each client device, the respective set of gradients, updating the item-vector matrix V using the respective set of gradients from each client device to generate an updated item-vector matrix V and downloading the updated item-vector matrix V to at least one client device.

Abstract: In one embodiment, distributed data storage systems and methods are described for integrating a change tracking manager with scalable databases. According to one embodiment, a computer implemented method comprises managing storage of objects and continuously tracking changes of the objects in a distributed object storage database, creating a record for an object having an object name, the object being stored in a bucket of the distributed object storage database, linking the bucket to a peer bucket based on a directive, generating a peer marker field for the record to store one peer marker of multiple different peer markers depending on a relationship between the bucket and the peer bucket; and automatically adding a work item for the object to the secondary index of a chapter database based on the record being created in the bucket and the peer marker for the peer bucket.

Abstract: Methods and systems disclosed herein relate generally to generating and using graph models to perform entity-specific mappings to investigatory events. More specifically, data-reliability metrics are used to selectively use proxy nodes in graph-model trajectories during generation of the mappings.

Abstract: A centralized document system receives a request to merge a first document package associated with a first party and a second document package associated with a second party. The first document package includes a first set of documents and the second document package includes a second set of documents. In response to the request, the centralized document system identifies a first subset of documents included in both the first and second sets of documents and identifies a second subset of documents with conflicts between the first and second sets of documents. The centralized document system rectifies the second subset of documents to cure the conflicts between the first and second sets of documents. The centralized document system generates a merged document package including the first subset of documents and the rectified second subset of documents for execution by the first and second parties.

Abstract: A processor-based method for locating data and metadata closely together in a storage system is provided. The method includes writing a first range of a file and a first metadata relating to attributes of the file into at least one segment controlled by a first authority of the file. The method includes delegating, by the first authority, a second authority for a second range of the file, and writing the second range of the file and second metadata relating to the attributes of the file into at least one segment controlled by the second authority.

Abstract: The present disclosure relates to systems and methods for determining an engagement profile of a participant by associating electronic activities to a profile. It may generate the engagement profile based on analysis of the electronic activity level. An example implementation may contain the following steps. The system may access for a first record object a plurality of electronic activities linked with the first record object. The system may identify for a participant from the plurality of electronic activities a set of electronic activities including the participant. The system may determine an engagement profile of the participant based on a first number of electronic activities of the set of electronic activities sent by the participant, a second number of the set of electronic activities received by the participant and a temporal distribution of the set of electronic activities. The system may store the engagement profile in one or more data structures.

Abstract: Described systems and techniques enable the capture of an archive image copy of at least one database at a first time, as well as the capture of database metadata that includes a runtime environment of the at least one database. The archive image copy and the database metadata may be stored. A request to restore the at least one database may be received at a second time. In response to the request, the archive image copy and the database metadata may be determined. The at least one database may be restored, including re-establishing the runtime environment using the database metadata.

Abstract: Various embodiments are directed to group-based data storage systems configured for maintaining data exchanged between client devices within channel-specific shards each corresponding with one or more group-identifiers to provide group-based access to those channel-specific shards and for applying group-specific policies for data stored within those channel-specific shards. Membership of particular users within particular groups and within particular channels may be monitored such that access to particular channel shards may be controlled based on group-memberships of the users, and access to data stored within particular channel shards may be controlled based on channel-memberships of the users.

Abstract: Systems and methods are described for distilling data. First data associated with a user may be received. The first data associated with the user may comprise an anonymized hash of an identifier associated with the user. A database may be determined to comprise a first record indicating the anonymized hash. The first record may comprise second data associated with the user. Based on the determining that the database comprises the first record, a second record may be generated. The second record may comprise the first data associated with the user, the second data associated with the user, and the anonymized hash. Based on the determining that the database comprises the first record, the example method may be stored to the database. These and other user and/or data distillation methods and systems are described herein.

Abstract: Data resiliency in a cloud-based storage system, including: receiving, for storage within a first tier of cloud storage of the cloud-based storage system, one or more segments of data; generating, for each of one or more shards of data of the one or more segments of data, self-describing information for recoverability of the one or more shards of data; and storing, within a second tier of cloud storage of the cloud-based storage system, both the one or more shards of data and the generated self-describing information for recoverability of the one or more shards of data.

Abstract: This disclosure relates to a system and method for data analysis. According to a first aspect, there is described a method, the method being performed using one or more processors, comprising: receiving one or more user inputs indicative of one or more relationships between data in a plurality of datasets; determining, based on the one or more user inputs, at least one object view for visualizing the data in the plurality of datasets; generating, based on the one or more user inputs, metadata comprising: an object graph indicative of the one or more relationships between two or more of the plurality of datasets; and information identifying the at least one object view; and in response to a query relating to the plurality of datasets, using the metadata to determine how response data responding to the query should be provided.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for creating custom system generated hyperlinks for predefined search queries at an external website. The system stores, in a data storage device, a set of custom URL templates, the custom URL templates defining required data fields to concatenate as parameters for a website link. The system obtains user information about a user where the information includes at least a first name and last name of the user. The system retrieves from the data storage device the set of custom URL templates. The system generates multiple website links based on the retrieved custom URL templates, where the generated website link includes a domain name of a website, and concatenated fields that are parameter specific to the website. The system then displays, via a user interface, a representation of the generated website links for selection by a user.

Abstract: A computerized system and methods are provided for the automated extraction of contextually relevant information, and the automatic processing of actionable information from generic document sets. More specifically, automated systems and techniques for the extraction and processing of opportunity documents, are provided, which avoid inaccuracies and inefficiencies resulting from conventional and/or human-based document processing techniques.