Abstract: A closed-loop natural language query pre-processor and response synthesizer architecture accepts natural language queries and dynamically synthesizes query results. The query results may be in the form of data stories. The architecture identifies, selects, and composes candidate response elements into a coherent and meaningful query result. The architecture also implements an adaptable delivery mechanism that is responsive to connection bandwidth, query source preferences, query source characteristics, and other factors. Feedback from multiple sources adapts the architecture for handling subsequent queries.

Abstract: A device may receive one or more data models that have been trained using a first set of values that are in a format capable of being processed by the one or more data models. The first set of values may be associated with a set of historical network performance indicators relating to a set of network devices. The device may receive network data that includes network ticket information and performance statistics for the one or more network devices. The device may determine a set of network performance indicators relating to the one or more network devices. The device may convert the set of network performance indicators into a second set of values that are in the format capable of being processed by the one or more data models. The device may use the second set of values to generate one or more recommendations associated with improving network performance.

Abstract: A cloud migration tool manages and monitors a cloud migration project that migrates data from a legacy environment to a target data center environment. The cloud migration tool includes an analytics engine that applies data regression models to generate a delay risk prediction for activities that are scheduled during the cloud migration project.

Abstract: Hardware acceleration supports complex software processes. In particular, a hardware security module provides encryption support for transaction chains. In one implementation, the security module circuitry provides high-speed security features and acceleration of the security features for blockchain processing.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating database queries, including receiving an asset template, the asset template associated with an enterprise context and one or more enterprise terms; identifying respective mappings of the one or more enterprise terms to one or more database tables; compiling the asset template based on the mappings to provide a database query; providing for display the database query; verifying the database query based on the displaying; receiving, in response to the verifying, an approval signal associated with the database query; storing the database query; querying a different database utilizing the database query; and in response to the querying, identifying data stored by the different database that is responsive to the database query.

Abstract: A platform for providing real-time promotions determines a customer interested in a product or service. The platform identifies customer information associated with the customer, as well as a set of products of interest to the customer. The platform identifies a supplier or advertiser associated with each of the products and receives promotion bids from one or more of the suppliers or advertisers. The platform generates a score for each of the received promotion bids, selects at least one of the promotion bids for transmission to the mobile device, and transmits the selected at least one promotion bids to the mobile device. The platform tracks customer behavior associated with the at least one promotion bids and provides the tracked behavior information back to the suppliers or advertisers.

Abstract: An optimized test data selection strategy references a sampling file that identifies data attributes that serve as the basis of the test data selection strategy. By analyzing fields and the corresponding field values of the sample imprint, a total number of test data selected for inclusion into a sample dataset is reduced. The test data selection strategy provides an efficient methodology for implementing a data comparison testing process.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining a network path between computer assets. One of the methods includes receiving an asset topology that includes an identifier for each computer-related asset that may be an entry point for an attack simulation, receiving threat data that identifies vulnerabilities of computer-related assets, determining a first computer-related asset that may be an entry point for an attack simulation, identifying one or more first vulnerabilities of the first computer-related asset, determining a path from the first computer-related asset to a second computer-related asset, determining one or more second vulnerabilities of the second computer-related asset, determining a probability that the second computer-related asset will be compromised by an adversary, and determining a change to the asset topology to reduce the probability that the second computer-related asset will be compromised by an adversary.

Abstract: A device may include one or more processors. The one or more processors may obtain product information relating to one or more products. The product information may be obtained from a set of web sites on which the one or more products are offered. The one or more processors may normalize the product information to determine normalized product information. The one or more processors may determine one or more product metrics based on the normalized product information. The one or more processors may generate a user interface based on the one or more product metrics. The user interface may provide information relating to the one or more product metrics. The user interface may permit a user to interact with the information relating to the one or more product metrics. The one or more processors may provide the user interface for display.

Abstract: In one aspect, the present application is directed to a computer-implemented method, a mobile device, a computer network system, and a computer-program product for optimized audio data provision. In an aspect, a computer-implemented method for optimized audio data provision on mobile devices is provided. The method may comprise: evaluating one or more parameters of a network connection of a mobile device; and depending on said evaluation, automatically switching between downloading audio data in an audio file from a server in real-time and downloading audio data in a text file from the server and performing a text-to-speech application of audio data on the mobile device.

Abstract: A network security analysis system performs anomaly detection with low false positives by implementing a multiple perspective analysis of network data. The analysis system implements natural language processing techniques to examine the content of network and time series data to identify anomalies within new activity.

Abstract: A system includes circuitry for performing hybrid blockchain rewrites by trusted parties. The hybrid blockchain may include blocks with multiple parts. In some cases, the blocks may include a core part and a tertiary part. The system may include conditions for validity preserving and/or non-tamper-evident rewrites to the parts of the block. The conditions to support rewrites to the core part may be more stringent than the corresponding conditions to support rewrites to the tertiary part. In some cases, the core part may be write-locked.

Abstract: Scalable architectures provide resiliency and redundancy and are suitable for cloud deployment. The architectures support extreme data throughput requirements. In one implementation, the architectures provide a serving layer and an extremely high speed processing lane. With these and other features, the architectures support complex analytics, visualization, rule engines, and centralized pipeline configuration.

Abstract: A system includes circuitry for performing hybrid blockchain rewrites by trusted parties. The hybrid blockchain may include blocks with multiple parts. In some cases, the blocks may include a core part and a tertiary part. The system may include conditions for validity preserving and/or non-tamper-evident rewrites to the parts of the block. The conditions to support rewrites to the core part may be more stringent than the corresponding conditions to support rewrites to the tertiary part. In some cases, the core part may be write-locked.

Abstract: A system for improving network capabilities is provided for enabling diagnostics and deployment of hybrid cloud technology. The system may obtain a plurality of display prompts. The display prompts may be associated with a stack of respective software criteria indicative of software capabilities and network functions. The system generates a prompt interface including a plurality of display prompts. The system may include an analytics engine to analyze the inputs responsive to the stack interface. The output of the analytics engine may include a capability score representing a measurement of satisfaction of a software criterion by a network node. The system may identify, based on a capability metric, a recommendation text associated with the software criterion. The system may generate a report interface comprising the recommendation text. The recommendation text may include a suggested modification to the network node including hybrid cloud architecture transformation and virtualization management deployment.

Abstract: A system may provide hardware acceleration for corrective blockchain-based record entry. Blockchain management circuitry (BMC) may receive a correction to a record entry. The BMC may access a consensus operating procedure. The BMC may apply the consensus operating procedure to the record entry to determine a corrective indicator. After completing the consensus operating procedure, the BMC may append a corrective block generated based on the record entry and corrective indicator to the blockchain. Accordingly, the system may ensure that corrective blocks added to the blockchain were generated in compliance with the consensus operating procedure.

Abstract: A system includes circuitry for rewriting blockchains in a non-tamper-evident or tamper-evident operation by a selected trusted party during a rewrite-permissive phase for the selected trusted party. During a rewrite-embargoed phase for the selected trusted party, rewrite access may pass to at least one second trusted party in a turn-based scheme. In some implementations, rewrite access may be implemented by controlling access to combination of a turn-control key secret portion with respective key secret portions controlled the by the individual trusted parties. Using the access to combination with the turn-control key secret portion, the trusted parties may preform rewrites to the blockchain.

Abstract: An on-demand learning system provides an enhanced leaning environment capable of delivering relevant content on virtually any topic to specific learners. The learning system implements technical features that facilitate curation and subject matter validation of many different types of content. The technical architecture of the learning system also supports intelligent matching of learners to subject matter areas, creation of specific subject matter boards, and resilient maintenance of the boards.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predictive modeling for unintended outcomes are disclosed. In one aspect, a method includes the actions of accessing an order history that, for each of one or more past orders, indicates (i) one or more order details associated with the order, and (ii) a fulfillment outcome associated with the order. The actions further include selecting one or more particular past orders that are associated with the particular unintended order fulfillment outcome. The actions further include generating a predictive model. The actions further include receiving one or more order details associated with a subsequently received order. The actions further include providing the one or more order details as input to the predictive model. The actions further include, identifying a remedial action. The actions further include providing data indicating the remedial action.

Abstract: A knowledge graph virtualization system (KGVS) implements data virtualization techniques using semantic knowledge when parsing a knowledge graph to return results to a query. The data virtualization using semantic knowledge enable end users and applications to describe desired output without detailed knowledge of underlying data storage, schema, and relationships.