Abstract: A non-transitory computer readable storage medium has instructions executed by a processor to receive from a network connection different sources of unstructured data. An entity is formed by combining one or more sources of the unstructured data, where the entity has relational data attributes. A representation for the entity is created, where the representation includes embeddings that are numeric vectors computed using machine learning embedding models, including trunk models, where a trunk model is a machine learning model trained on data in a self-supervised manner. An enrichment model is created to predict a property of the entity. A query is processed to produce a query result, where the query is applied to one or more of the entity, the embeddings, the machine learning embedding models, and the enrichment model.

Abstract: In some examples, a computing device may initiate audible play back of a book in response to an instruction from a user. While the book is being audibly played back, the computing device may determine (e.g., in the background) that a content of a recently played back portion of the book matches one or more interests associated with a user, initiate a search, and receive search results. The computing device may re-rank the search results based on the user's interests, pause play back of the book, and audibly read out the re-ranked search results. If the user asks a question, the computing device may pause play back of the book, perform an additional search, and read out loud the additional search results. The computing device may resume the audible play back of the book after the user provides a resume play back instruction.

Abstract: Advances in technology and the availability of low cost sensors have led to an unprecedented growth in the volume of spatial data. Unfortunately, the time required to evaluate even simple spatial queries over large data sets greatly hampers the ability to interactively explore these data sets and extract actionable insights. While modern hardware (such as Graphics Processing Units or GPUs) are increasingly being used to speed up spatial queries, existing solutions have two important drawbacks: they are often tightly coupled to the specific query types they target, making it hard to adapt them for other queries; and since their design is based on CPU-based approaches, it can be difficult to effectively utilize all the benefits provided by the said hardware. To overcome these issues, spatial data are represented as geometric objects and a set of composable operators that operate over these objects are defined.

Abstract: A source system receives an indication to suppress a listing associated with an entity, wherein the indication is based at least in part on a confidence score from the source system indicating that the listing is a duplicate of a representative listing. A list of a provider systems that provide search results including the listing associated with the entity is identified. A first provider system is searched for a first listing matching the listing associated with the entity. The source system receives from the first provider system, a provider-supplied external identifier associated with the first listing. A request to suppress is transmitted to the first listing from a search result generated in response to a search request submitted via the first provider system.

Abstract: Methods and apparatus related to associating a task with a user based on the user selecting a task suggestion that is provided to the user in response to a user query. In some implementations, the task may be identified based on similarities between the words and/or phrases of the user query and a task suggestion that is associated with a task. In some implementations, the task may be identified based on user data associated with the user. In some implementations, the task may be associated with additional information related to completing the task.

Abstract: The present disclosure describes a service which provides primary in-line deduplication. A streaming application program interface (API) may allow for streaming records into a storage system with high throughput and low latency. As part of this process, the API allows user to add identifiers as a field used for data deduplication. The deduplication service keeps a moving window of the identifiers in memory and does in-line deduplication by quickly determining whether data is a duplicate. Keeping only deduplication keys in memory reduces the cost of running the service. Moreover, the real-time nature of the moving window approach allows for storing deduplication information alongside the data and accessing it immediately on read. In this regard, read after write consistency is supported, and costs are reduced.

Abstract: A system for a digital content security and communications system using an artificial intelligence (AI) based machine learning and predictive analysis is disclosed. The system may comprise a data store to store and manage data within a network, a server to facilitate operations using information from the one or more data stores, and an analytics subsystem to communicate with the server and the data store in the network. The analytics subsystem may comprise a data access interface to receive communication data from a user via a first communication channel. The analytics subsystem may comprise a processor to provide a proactive, adaptive, and intelligent conversation with the user via a second communication channel.

Abstract: A method for assessing user experience includes determining one or more experience journey maps, identifying personas included in the one or more experience journey maps, and collecting user experience related data from the personas included in the one or more experience journey maps. The method further includes identifying user experience gaps based on an analysis performed on the experience related data collected, and providing a graphical representation that highlights the user experience gaps. The method also includes generating recommendations for execution to mitigate the user experience gaps highlighted in the graphical representation, monitoring and tracking a progress of the executed recommendations, and performing automated monitoring and offset metric tracking of targeted experience-related input metrics used to gauge a performance of the executed recommendations.

Abstract: A method, computer system, and a computer program product for recommending additional content to an author generating authored content is provided. The present invention may include monitoring a travel location associated with the author. The present invention may include calculating a multi-sensory region based on the travel location and a maximum sense distance value. The present invention may include selecting at least one piece of additional content from a corpus of additional content based on the multi-sensory region. The present invention may include generating a model based on the at least one piece of additional content. The present invention may include selecting a relevant piece of additional content from the data model based on determining a topic associated with the relevant piece of additional content matches an authored topic associated with the authored content. The present invention may include presenting the selected relevant piece of additional content to the author.

Abstract: Systems and methods for search result replication in a search head cluster of a data aggregation and analysis system. An example method may comprise maintaining a replication count in a data store associated with at least one of the plurality of search heads, the replication count corresponding to how many of the replicas of the search result are stored in the search head cluster, determining that the replication count is greater than a target replication count, based on determining that the replication count is greater than the target replication count, initiating a deletion of at least one replica of the replicas of the search result from a target search head of the plurality of search heads storing the replicas, receiving an indication that the deletion is complete, and based on receiving the indication that the deletion is complete, decreasing the replication count corresponding to the search result.

Abstract: A method, non-transitory computer readable medium, and device that replicates data and provides instantaneous access to data includes receiving in a destination volume one or more named data extents and one or more references to the one or more named data extents associated with a file in parallel from a source volume. A determination is made to check whether the one or more references arrive before the one or more named data extents arrive. Each of the received one or more references which are determined to have arrived prior to the one or more data extents is allocated as absent by the storage management computing device. An instantaneous access to the file is provided during the allocation.

Abstract: An improved information management system is described herein in which the information management system can evaluate the deduplication performance of secondary copy operations and dynamically adjust the manner in which secondary copy data is created to minimize the negative effects of performing deduplication. Furthermore, the improved information management system can improve deduplication performance by applying different storage policies to different types of applications running on a client computing device. Moreover, the improved information management system can automatically detect the region of a client computing device and apply an appropriate information management policy to the client computing device to avoid inconsistencies or other errors resulting from administrator control.

Abstract: Embodiments for implementing intelligent ranking of sections of clinical practice guidelines by a processor. One or more clinical practice guidelines (CPGs) may be identified and analyzed. A score may be assigned to one or more sections of the CPGs according evidential data identified in one or more data sources. The one or more sections of the CPGs may be ranked according to the scoring.

Abstract: A system for acquiring time limited data to facilitate integrity verification in real-time applications (RTAs) includes an agent and a collector. The agent is associated with a RTA and is in communication with the collector. The agent defines a plurality of time ordered time frames and during each time frame collects a collection of events from event sources occurring on the RTA. The agent calculates a local integrity check from the collection and a previous integrity check or an initial key, and transmits a global integrity check calculated from local integrity checks to the collector. The collector receives the global integrity check from the agent and stores the received global integrity check in a secure storage. The collector validates the integrity of the global integrity check and the received collections of events.

Abstract: The present disclosure involves systems, software, and computer implemented methods for efficient shared bulk loading into optimized storage. One example method includes identifying a data set on a client to load to a server. Load steps that can be performed either on the client or the server are identified. Values for load factors are determined. Load rules are determined that are based on load factors and are for determining processing locations for the load steps. A processing location of either the client or the server is determined for each load step, based on the load rules. Load steps that have a processing location of the client are executed on the data set, on the client. The data set is transferred from the client to the server, over a network. Load steps that have a processing location of the server are executed on the data set, at the server.

Abstract: Various embodiments can comprise a system, which can comprise one or more processing modules; and/or one or more non-transitory memory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of: receiving a request from a requesting party to produce a feature vector for a record, the feature vector being used to aid in placing the record in one of a first database cluster H or a second database cluster L; retrieving a first access history for the record at a first time period, the first access history indicating a number of times the record was accessed within the first time period that is a predetermined time period away from a current day; repeating retrieving one or more second access histories for the record for one or more additional time periods, each second access history of the one or more second access histories indicating a number of times the record was accessed within the one or more additional time periods, wherein each of the one or

Abstract: An example method of generating telemetry data from application programming interface (API) data in a computing system includes: obtaining the API data from a plurality of software components executing in a plurality of client computers; serializing the API data for transmission from the client computers to a server computer, the serialized data including a parent object having a child object; and generating the telemetry data having a relational schema from the serialized telemetry data by generating a table for the parent object and storing attributes of the child object in the table generated for the parent object.

Abstract: A computer-implemented method for automatic generation of data visualizations may include: receiving, from a user, a request to open a document, receiving, from the user, a selection of data for visualization in the new document, determining whether the user has a trained visualization model, upon determining that the user has a trained visualization model, loading the user's trained visualization model, upon determining that the user does not have a trained visualization model, loading a default trained visualization model as the user's trained visualization model, using the user's trained visualization to generate one or more suggested visualizations of the selected data, and displaying the one or more suggested visualizations to the user.

Abstract: Embodiments of the present systems and methods may provide the capability ensure that data is persisted and accessed correctly without depending on eventually consistent list operations on the object store. For example, in an embodiment, a computer-implemented method for data distribution may comprise attempting to persist a plurality of data parts from a plurality of processing tasks, generating a manifest including information indicating those attempts to persist data parts that have succeeded, and persisting the manifest with the data parts that have been successfully persisted.

Abstract: In one example, a method includes receiving, at a physical proxy node, a backup request from a client outside the cluster environment, the backup request identifies a VM that is to be backed up, and including data that resides on a virtual federated database that is an element of the cluster environment and to which respective databases of each node of the cluster environment are mapped, and the backup request is received at the physical proxy node due to the position of the physical proxy node in a PSOL. Next, initiating, with an agent at the physical proxy node, a save program on the physical proxy node, and initiating, with the save program, a secondary save process on the physical proxy node that is a federated backup process and includes reading the VM identification from the backup request, and backing up the VM identified in the backup request.