Abstract: A system includes circuitry for rewriting blockchains in a non-tamper-evident or tamper-evident operation using a key secret held by a trusted party. The blockchains may include a series of blocks secured integrity codes that may prevent non-tamper-evident rewrites by non-trusted parties that are not in possession of the key secret. In some cases, the key may allow valid but tamper-evident rewrites of the blockchain by trusted entities. Integrity outputs may be generated from the integrity codes based on the content of the previous blocks in the series such that attempts by untrusted parties to replace a block may be detected through coding-inconsistencies with other blocks.

Abstract: The vulnerability of network devices may be predicted by performing a survival analysis on big data. A prediction algorithm may be built by considering historical data from heterogeneous data sources. The operating state of the network devices on a network may be predicted. The services potentially affected by a predicted outage may be determined and displayed. Alternatively or in addition, the number of clients potentially affected by a predicted outage may be determined and displayed.

Abstract: An intelligent product requirement configurator is a tool for assisting the implementation process of application platforms by generating a recommended configuration data set describing recommended configuration settings for a selected application platform. The tool acts as a repository for capturing requirements such as banking market practice requirements, regulatory requirements, and bank specific requirements. The tool further converts the requirements into profile data and business rules that are used to configure the application platform.

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 network security analysis system performs anomaly detection with low false positives by implementing a multiple perspective analysis of network data. The analysis system takes a new approach to defining the network baseline, using, as examples, topic modeling and time series algorithms. The analysis system implements natural language processing techniques to examine the content of network and time series data to establish and maintain a definition of the baseline network state model, against which new activity is compared to identify anomalies.

Abstract: A task transformation architecture meets the technical challenges of geographically distributed task assignment and completion, e.g., by crowd-sourced workers who are external to any given enterprise that needs the task completed. The architecture delivers task information to the workers while maintaining confidentiality. In one aspect, the architecture determines when task descriptions include confidential information, transforms the task to remove the confidential information, and delivers the transformed task to the worker. When the worker responds with a completed project, e.g., source code for executing the transformed task, the architecture transforms the completed project into a form that restores the confidential information.

Abstract: A system for self-learning archival of electronic data may be provided. A binary classifier may identify a text segment of an electronic dataset in response to text of the electronic dataset being associated with indicators of a word model. A first multiclass classifier may generate a first classification set comprising respective statistical metrics for the datafield that each predefined identifier in a group of predefined identifiers is representative of the datafield. A second multiclass classifier may receive a context of the electronic dataset and generate a second classification set. A combination classifier may apply weight values to the first classification set and the second classification set and form a weighted classification set and select a predefined identifier as being representative of the datafield based on the weighted classification set. The processor may store, in a memory, a data record comprising an association between the predefined identifier and the datafield.

Abstract: Data from an application is analyzed periodically in real-time using a predictive data model to predict potential application failures. Application logs are used to build the predictive data model. The predictive data model includes features created from the application logs which are good predictors of application failures. The predictive data model analyzes and provides anomaly scores for various anomalies for the real-time data collected over a time period. The anomaly scores are compared with a threshold score to predict the probability of occurrences of application failures. If there is a higher probability of occurrence of an incident of application failure, corrective actions to mitigate or reduce the probability of occurrence of the application failure are implemented.

Abstract: An application-centric modernization and migration (AMM) architecture delivers AMM as a service to enterprises to automate migrating applications to new environments. In this regard, the architecture implements data migration functionality in concert with application code migration, environment provisioning, and post-migration configuration. The joint migration of application data and application code effectively provides a complete migration of an application. The architecture may also define and deliver a GUI portal through which an application owner provides application-specific metadata to drive the AMM.

Abstract: A method for accessing call information communicated between a source terminal and a target terminal over a carrier network is provided. The method includes receiving, at a real-time duplication server (RTDS), context information specified by a user of the source terminal that defines information to be communicated to the target terminal prior to establishment of an audio/visual call between the source terminal and target terminal. The method also includes converting, by the RTDS, the context information into a visual representation of the context information; and communicating, by the RTDS, the visual representation of the context information to a user.

Abstract: A system for managing the operation of different components within a cloud system to accomplish various tasks, including the implementation of build features within the cloud system to achieve specific operational goals. The system may include a data defined infrastructure (DDI) tool installed within a data defined infrastructure (DDI) to manage certain features or tasks within the cloud system.

Abstract: A machine learning system includes a data set processing subsystem to store data objects from multiple sources. An ensemble machine learning subsystem and a data search function may execute queries and identify related structured and unstructured data from the stored data objects. The structured and unstructured data may be used to create new data objects.

Abstract: The present application provides a user configurable test system for set-top boxes (STB) and other consumer devices providing video output. In particular, it provides for a method of improving an Optical Character Recognition (OCR) process in such test systems.

Abstract: A system includes a holographic display that may create multi-dimensional images. The holographic display may be coupled to processing circuitry and display controller circuitry that may generate a multi-dimensional interface. The multi-dimensional interface may accept input from human interface devices that may translate human motion in multi-dimensional space into the multi-dimensional space of the multi-dimensional interface. The multi-dimensional interface may be generated by a holographic interface stack executing on the processing circuitry.

Abstract: According to examples, software integration testing with an unstructured database may include determining a driver class file for an integration testing tool to connect to a specified unstructured database. A connectivity driver may be generated for the specified unstructured database. Dependency files may be determined for retrieval of data from the specified unstructured database and update of the data in the specified unstructured database. The driver class file, the connectivity driver, and the dependency files may be stored in a library of the integration testing tool. A connection may be established between the integration testing tool and the specified unstructured database. A query may be sent to the specified unstructured database for execution, and query results may be received based on performing a function when the query is executed. The query results may be compared to validation data to determine whether the function operates in a determined manner.

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: Techniques are described for determining and employing trust metrics for entities interacting with a super-platform. An end-user may interact with multiple individual platforms of different types. The individual platforms may generate data based on the interactions with end-user(s). The data from the various individual platforms may be received, ingested, stored, analyzed, aggregated, and/or otherwise processed by a super-platform. The super-platform may provide the data, aggregate data, and/or data analysis results to data consumer(s) through a marketplace associated with the super-platform. In some implementations, entities such as data providers, data manipulators, and/or data consumers may rate one another and, based on the rating(s), a trust metric may be determined that indicates a trust level of an entity.

Abstract: An extensible single point orchestration system receives service requests from applications. In dependence upon the service request a single third party provider service or multiple third party provider services is identified. When the single third party provider service is identified, the system dynamically adapts a core capability service, using a stored configuration entity, so as to set an appropriate message format and transmit a service call message to an external API of the identified single third party provider service. When multiple third party provider services are identified, the system dynamically adapts the core capability service, using another stored configuration entity, so as to set a respective appropriate message format for parallel data transmission of service call messages to each of the respective identified third party provider services and transmits the service call messages to respective external APIs of each of the third party provider services.

Abstract: An automation identification diagnostic tool (AIDT) is disclosed that records and analyzes actions within a program that are taken by an agent to accomplish certain tasks. By recording the action steps to accomplish a task in a recording session data file, the AIDT is then able to analyze the recording session data file to identify steps for conversion to automated tasks.

Abstract: A system may capture an image of a physical item, perform digital image processing to identify features of the physical item from the image, and generate a digital token for the physical item based on the digital image processing.