Abstract: System and methods for processing information acquired from distributed sources are provided. The system may receive activity data samples from a plurality of collectors in a plurality of different independent locations in an organization. The system may identify baseline metrics associated with the activity data samples. The system may perform machine-based recognition of the activity data samples and associate the activity data samples with weight factors. The system may weigh the baseline metrics with the weight factors to generate adjusted metrics. The system may communicate activity information based on a logical combination of the activity data samples, context information recognized in the activity data samples, and metrics related to the activity information.

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: 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: 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 digital manufacturing system includes a web portal to receive product configuration information. An enterprise resource planning subsystem generates a production order based on the product configuration information, and determines a manufacturing resource plan and production steps for manufacturing the product. A manufacturing execution subsystem generates an identifier for the manufacturing resource plan, and communicate the manufacturing resource plan and the production steps to a production control subsystem controlling machines performing the manufacturing of the product according to the manufacturing resource plan and the production steps. A production control subsystem stores the identifier in a near field communication chip attachable to the product during the manufacturing to provide real-time tracking of the manufacturing throughout the steps. An empirical analysis subsystem connects to different social media applications to determine sentiment of the manufactured product.

Abstract: A curator captures input data corresponding to service tasks from an external source. Further, a browser extension collects intermediate service delivery data for the service tasks from the external source. Subsequently, a learner stores the input data and the intermediate service delivery data as training data. Then, a receiver receives a service request from a client. The service request is indicative of a service task to be performed and information associated with the service task. Further, an advisor processes the service request to generate an intermediate service response. Thereafter, the advisor determines a confidence level associated with the intermediate service response and ascertains whether the confidence level associated with service response is below pre-determined threshold level. If the confidence level is below a pre-determined threshold level, the advisor automatically generates a final service response corresponding to service request based on training data.

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: For shielded cryptographic data exchange interoperation, an interoperability node is in communication with a furnisher participant node of a furnisher distributed ledger technology (DLT) network and a receiver participant node of a receiver DLT network. The interoperability node may obtain a shielded exchange instruction. The shielded exchange instruction may include a zero-knowledge proof, a selected token nullifier, a new token nullifier, and a new token digest. The zero-knowledge proof may be indicative of the furnisher participant having access to the selected token identifier. When the interoperability node determines that the new token nullifier is not present on a receiver blockchain, the interoperability node may submit the shielded exchange instruction to a furnisher smart contract and a receiver smart contract. The furnisher smart contract may retire the selected token nullifier on the furnisher 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: A hybrid recommendation system uses offline testing and online testing to generate and optimize recommendation functions. The functions generate recommendations which may be presented online for product purchases. Indices are created from the recommendations. Lookups may be performed on the indices to select recommendations for a particular user. The selected recommendations may be filtered before presenting to the user.

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: 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 system and method retrieve a robust customer profile of a user accessing a website and generate a custom webpage that include in a first area graphical user interface elements and objects representative of products owned by a first entity having stored attributes that correlate with attributes of the user stored in the robust customer profile. A state of a secondary market is determined and the custom webpage is generated to include in a second area graphical user interface elements and objects representative of items owned by a second entity in the secondary market that correlate with the products in the first area.

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.

Abstract: A system supports asset transfers among blockchains of differing distributed ledger technologies using interop circuitry. The interop circuitry may receive asset permissions from origin and target participant circuitry. The asset permissions may support transfer of an asset from an origin blockchain to a target blockchain. The interop circuitry, acting on behalf of the origin and target participant circuitry, locks an asset on the origin blockchain. Then the interop circuitry creates the asset on the target blockchain. The locking of the asset on the origin blockchain may prevent a double-expend opportunity, where the asset can be redeemed on the origin blockchain and on the target blockchain.

Abstract: A computer system may access an attributization rule and convert, based on the attributization rule, profile data into attributes for a robust recipient profile. The system may identify, based on tag logic, tags that are associated with the attributes. The tag logic may include instructions to compare the attributes with predetermined attributes associated with the tags. The system may map the identified tags to the recipient identifier. The system may perform communication with a mobile device based on the robust recipient profile and a real-time location of the mobile device. To perform the communication, the system may monitor the plurality of data channels for data comprising real-time location information for the mobile device. The system may determine the mobile device is proximate to a physical object that is associated with the tag and the system may transmit offer information to the mobile device.

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: Examples for efficiently representing, processing and deciding amongst multiple ambiguous interpretations of human natural language text are described. Processing includes creating and augmenting an “interpretation graph” which represents all known ambiguous interpretations of some natural language text. The interpretation graph is made of vertices (junction points which lead to alternative interpretations) and ‘lexical items’ (natural language objects representing data blocks, tokens, word parts, phrases, clauses, parts of speech, entities, or semantic interpretations) that represent alternative ambiguous interpretations of portions of the text. The examples show a set of simple operations for augmenting the interpretation graph to create alternative interpretations.