Abstract: An example operation may include one or more of partitioning a data set from a data provider into a training data set and a test data set, exposing the training data set to a learning service provider while preventing the learning service provider from being able to access the test data set, wherein the preventing comprises encrypting the test data set and storing the encrypted test data set in an immutable ledger, receiving a learning model that is generated by the learning service provider based on the exposed training data set, executing the received learning model using the test data set as input to verify whether the learning model satisfies a predefined performance threshold, and in response to verifying the learning model satisfies the predefined performance threshold, outputting information about the verification to a computing node.

Abstract: Providing an end-to-end citizen engagement, in one aspect, may comprise obtaining data of multiple disintegrated sources from one or more of communication and social computing channels via one or more adapters. Data refactoring and management, integration and process orchestration of the data according to a data model as data attributes of the data model may be provided. One or more analytics may be performed based on the data attributes stored according to the data model and input specified to the one or more analytics. One or more results computed by performing the one or more analytics may be provided. One or more application logics supporting one or more front-end applications may be produced. One or more front-end applications for automated sensing of user activities and sensor-based individual assistant capability may be provided.

Abstract: Access is obtained to a plurality of intermediately transformed electronic documents (with a plurality of sections and subsections) which have been transformed, by topical analysis and text summarization techniques, from a plurality of original electronic documents comprising at least some unstructured electronic documents. Audit and retrieval agent code is appended to the sections and subsections to create a plurality of finally transformed electronic documents. Users are allowed to access the finally transformed electronic documents. The users are provided with accountability reminders contemporaneous with the access. The access of the users to the sections and subsections of the finally transformed electronic documents is logged. An audit report is provided based on the logging. Also provided is a cloud service for enterprise-level sensitive data protection with variable data granularity, using one or more one guest virtual machine images.

Abstract: A GPS-enabled cellular electronic device is operated in an indoor mode. An increase in strength of a cellular signal is detected at the GPS-enabled cellular electronic device. Responsive at least to the increase in cellular signal strength, the GPS-enabled cellular electronic device is transitioned to an outdoor testing mode. Detecting is carried out to determine whether movement of the GPS-enabled cellular electronic device occurs during the outdoor testing mode. If so, the GPS-enabled cellular electronic device is transitioned to an outdoor mode.

Abstract: An example operation may include one or more of partitioning a data set from a data provider into a training data set and a test data set, exposing the training data set to a learning service provider while preventing the learning service provider from being able to access the test data set, wherein the preventing comprises encrypting the test data set and storing the encrypted test data set in an immutable ledger, receiving a learning model that is generated by the learning service provider based on the exposed training data set, executing the received learning model using the test data set as input to verify whether the learning model satisfies a predefined performance threshold, and in response to verifying the learning model satisfies the predefined performance threshold, outputting information about the verification to a computing node.

Abstract: Providing an end-to-end citizen engagement, in one aspect, may comprise obtaining data of multiple disintegrated sources from one or more of communication and social computing channels via one or more adapters. Data refactoring and management, integration and process orchestration of the data according to a data model as data attributes of the data model may be provided. One or more analytics may be performed based on the data attributes stored according to the data model and input specified to the one or more analytics. One or more results computed by performing the one or more analytics may be provided. One or more application logics supporting one or more front-end applications may be produced. One or more front-end applications for automated sensing of user activities and sensor-based personal assistant capability may be provided.

Abstract: In an illustrative embodiment, a computing system comprises a first computer coupled to one or more additional computers. Each of the one or more additional computers manages a respective set of one or more virtualized computing resources. The first computer manages the one or more additional computers.

Abstract: Providing an end-to-end citizen engagement, in one aspect, may comprise obtaining data of multiple disintegrated sources from one or more of communication and social computing channels via one or more adapters. Data refactoring and management, integration and process orchestration of the data according to a data model as data attributes of the data model may be provided. One or more analytics may be performed based on the data attributes stored according to the data model and input specified to the one or more analytics. One or more results computed by performing the one or more analytics may be provided. One or more application logics supporting one or more front-end applications may be produced. One or more front-end applications for automated sensing of user activities and sensor-based personal assistant capability may be provided.

Abstract: Access is obtained to a plurality of intermediately transformed electronic documents (with a plurality of sections and subsections) which have been transformed, by topical analysis and text summarization techniques, from a plurality of original electronic documents comprising at least some unstructured electronic documents. Audit and retrieval agent code is appended to the sections and subsections to create a plurality of finally transformed electronic documents. Users are allowed to access the finally transformed electronic documents. The users are provided with accountability reminders contemporaneous with the access. The access of the users to the sections and subsections of the finally transformed electronic documents is logged. An audit report is provided based on the logging. Also provided is a cloud service for enterprise-level sensitive data protection with variable data granularity, using one or more one guest virtual machine images.

Abstract: A GPS-enabled cellular electronic device is operated in an indoor mode. An increase in strength of a cellular signal is detected at the GPS-enabled cellular electronic device. Responsive at least to the increase in cellular signal strength, the GPS-enabled cellular electronic device is transitioned to an outdoor testing mode. Detecting is carried out to determine whether movement of the GPS-enabled cellular electronic device occurs during the outdoor testing mode. If so, the GPS-enabled cellular electronic device is transitioned to an outdoor mode.

Abstract: Systems and articles of manufacture for enabling access to user-specified and/or user-chosen content via remote third-party systems include communicating with a content provider via use of one or more user credentials, wherein the content provider maintains a list of user content choices and one or more preferences for content, wherein the content is generated by the user and/or by the content provider and/or by one or more other users, automatically downloading an amount of user-specified and/or user-chosen content from the list of user content choices and one or more preferences to a primary enterprise system and/or a secondary enterprise system in conjunction with an interaction between the user and the primary enterprise system, and providing access to the downloaded user-specified and/or user-chosen content to the user in conjunction with an interaction between the user and the secondary enterprise system, the content provider and/or the primary enterprise system.

Abstract: Access is obtained to a plurality of intermediately transformed electronic documents (with a plurality of sections and subsections) which have been transformed, by topical analysis and text summarization techniques, from a plurality of original electronic documents comprising at least some unstructured electronic documents. Audit and retrieval agent code is appended to the sections and subsections to create a plurality of finally transformed electronic documents. Users are allowed to access the finally transformed electronic documents. The users are provided with accountability reminders contemporaneous with the access. The access of the users to the sections and subsections of the finally transformed electronic documents is logged. An audit report is provided based on the logging. Also provided is a cloud service for enterprise-level sensitive data protection with variable data granularity, using one or more one guest virtual machine images.

Abstract: Techniques for enabling access to user-specified and/or user-chosen content via remote third-party systems. A method includes communicating with a content provider via use of one or more user credentials, wherein the content provider maintains a list of user content choices and one or more preferences for content, wherein the content is generated by the user and/or by the content provider and/or by one or more other users, automatically downloading an amount of user-specified and/or user-chosen content from the list of user content choices and one or more preferences to a primary enterprise system and/or a secondary enterprise system in conjunction with an interaction between the user and the primary enterprise system, and providing access to the downloaded user-specified and/or user-chosen content to the user in conjunction with an interaction between the user and the secondary enterprise system, the content provider and/or the primary enterprise system.

Abstract: A GPS-enabled cellular electronic device is operated in an indoor mode. An increase in strength of a cellular signal is detected at the GPS-enabled cellular electronic device. Responsive at least to the increase in cellular signal strength, the GPS-enabled cellular electronic device is transitioned to an outdoor testing mode. Detecting is carried out to determine whether movement of the GPS-enabled cellular electronic device occurs during the outdoor testing mode. If so, the GPS-enabled cellular electronic device is transitioned to an outdoor mode.

Abstract: A method for freight vehicle monitoring includes obtaining historical telecommunications data, performing vehicle location identification using the historical telecommunications data, wherein performing the vehicle location identification comprises using a machine learning based algorithm to determine one or more meaningful vehicle locations, identifying, based on the one or more meaningful vehicle locations, if one or more telecommunications devices are those of a freight vehicle occupant, and tracking a location of the one or more telecommunications devices identified as those of a freight vehicle occupant.

Abstract: A method for freight vehicle monitoring includes obtaining historical telecommunications data, performing vehicle location identification using the historical telecommunications data, wherein performing the vehicle location identification comprises using a machine learning based algorithm to determine one or more meaningful vehicle locations, identifying, based on the one or more meaningful vehicle locations, if one or more telecommunications devices are those of a freight vehicle occupant, and tracking a location of the one or more telecommunications devices identified as those of a freight vehicle occupant.

Abstract: Enhanced personalized advertisements may be provided through media such as IPTV, for example, by analyzing data such as subscribers' mobility data (calling and movement data), television (TV) watching history, online browsing data (e.g., Internet, web site browsing), and subscribers' historical purchasing transactions. With the analysis, subscribers' contexts, any information that reflects subscribers' interests and activities, and intents, tendency to buy certain products, items, services, and/or travel to some locations may be inferred.

Abstract: A method for freight vehicle monitoring includes obtaining historical telecommunications data, performing vehicle location identification using the historical telecommunications data, wherein performing the vehicle location identification comprises using a machine learning based algorithm to determine one or more meaningful vehicle locations, identifying, based on the one or more meaningful vehicle locations, if one or more telecommunications devices are those of a freight vehicle occupant, and tracking a location of the one or more telecommunications devices identified as those of a freight vehicle occupant.

Abstract: A method for freight vehicle monitoring includes obtaining historical telecommunications data, performing vehicle location identification using the historical telecommunications data, wherein performing the vehicle location identification comprises using a machine learning based algorithm to determine one or more meaningful vehicle locations, identifying, based on the one or more meaningful vehicle locations, if one or more telecommunications devices are those of a freight vehicle occupant, and tracking a location of the one or more telecommunications devices identified as those of a freight vehicle occupant.

Abstract: Detecting appliance in a building, in one aspect, may comprise receiving meter data associated with energy consumption, the meter data comprising at least energy consumption data associated with usage of the appliance, receiving customer data associated with the meter data, extracting features for training a model for detecting the appliance, based on at least the meter data and the customer data, and constructing the model based on the features.