Abstract: A computer-implemented method, a computer system and a computer program product select enterprise assets for migration to open cloud storage. The method includes identifying an asset on a server. The method also includes determining whether the asset contains sensitive information. The method further includes obtaining a migration cost for the asset based on asset attributes. In addition, the method includes calculating a migration score for the asset based on whether the asset contains the sensitive information, access rules for the asset, an asset handling history, and the migration cost. Lastly, the method includes selecting the asset for migration to open cloud storage when the migration score of the asset is above a threshold.

Abstract: The capture and search of application properties for applications installed on virtual machines, includes obtaining a plurality of logs on a plurality of virtual machine images coupled to a network. For each given virtual machine image of the plurality of virtual machine images, the method includes: obtaining one or more logs on the given virtual machine image of the plurality of virtual machine images; analyzing each given log of the one or more logs to identify one or more concepts related to a set of application properties for one or more applications installed on the given virtual machine image; associating the one or more concepts and the set of application properties with an identity of the given virtual machine image; and storing the association of the one or more concepts and the set of application properties with the identity of the given virtual machine image in a virtual machine catalogue.

Abstract: The capture and search of application properties for applications installed on virtual machines, includes obtaining a plurality of logs on a plurality of virtual machine images coupled to a network. For each given virtual machine image of the plurality of virtual machine images, the method includes: obtaining one or more logs on the given virtual machine image of the plurality of virtual machine images; analyzing each given log of the one or more logs to identify one or more concepts related to a set of application properties for one or more applications installed on the given virtual machine image; associating the one or more concepts and the set of application properties with an identity of the given virtual machine image; and storing the association of the one or more concepts and the set of application properties with the identity of the given virtual machine image in a virtual machine catalogue.

Abstract: In an approach for promoting collaborative marketing, a processor registers a user for a social IoT platform. A processor registers an IoT device associated with the registered user into the social IoT platform. A processor identifies social contacts of the registered user in the social IoT platform. A processor detects a plurality of IoT devices which are associated with the social contacts of the registered user. A processor monitors the IoT device associated with the registered user and the plurality of IoT devices associated with the social contacts of the registered user. A processor analyzes social IoT feed among the IoT device associated with the registered user and the plurality of IoT devices associated with the social contacts of the registered user. A processor recognizes a collaborative need for a plurality of registered users. A processor recommends a collaborative marketing plan based on the collaborative need.

Abstract: Disclosed embodiments provide techniques for accessing a document from a cloud storage system and controlling the display of sensitive data within the document based on user permissions. One or more restricted information segments are identified within a document to be stored on the cloud storage system. Restricted information segments can include anything within an electronic file for which it is desired to provide multiple levels of access. In some embodiments, the restricted information segments are automatically identified via computer-implemented natural language processing (NLP) techniques. For each restricted information segment, one or more alternative data sequences are generated. The alternative data sequences are encrypted using various keys residing on a client device associated with a user. The keys can be used to decrypt data stored within a multiple-value encrypted field structure.

Abstract: A developer is monitored by at least one sensor, and developer data is gathered from the at least one sensor. Code change data is gathered for changes made by the monitored developer to at least one area of code, and the code change data is mapped to the developer data. Test cases are run to test the at least one area of code, and to identify failed test cases. Code change data corresponding to the failed test cases is also identified, as well as developer data mapped to the corresponding code change data. Further, a prediction model that correlates test case failure with the developer data is generated. The prediction model is used to generate probabilities of failure for test cases based on a new developer data mapped to new code test data.

Abstract: Disclosed embodiments provide techniques for accessing a document from a cloud storage system and controlling the display of sensitive data within the document based on user permissions. One or more restricted information segments are identified within a document to be stored on the cloud storage system. Restricted information segments can include anything within an electronic file for which it is desired to provide multiple levels of access. In some embodiments, the restricted information segments are automatically identified via computer-implemented natural language processing (NLP) techniques. For each restricted information segment, one or more alternative data sequences are generated. The alternative data sequences are encrypted using various keys residing on a client device associated with a user. The keys can be used to decrypt data stored within a multiple-value encrypted field structure.