Abstract: In some examples, system behavior profiling-based dynamic competency analysis may include identifying a plurality of software generation entities that have contributed to a module of a system, and generating an index to associate each software generation entity of the plurality of software generation entities. Execution links may be extracted from execution traces of the system, and an execution competency list may be generated. A dynamic competency score may be generated for each software generation entity for the system, and an overall dynamic competency score and a combined competency score may be determined. A software generation entity role may be obtained for a new application, and a software generation entity of the plurality of software generation entities may be identified to perform the software generation entity role. Development of the new application may be implemented using the identified software generation entity.

Abstract: Methods and systems for delivering personalized learning material are disclosed. A method includes providing, by a computer device, current learning material and advance learning material to a plurality of students; monitoring, by the computer device, a reading performance and a complexity of the advance learning material for a student of the plurality of students; determining, by the computer device, a student comprehension score for the student based on the monitoring the reading performance and the complexity of the advance learning material; and providing, by the computer device, additional learning material to the student based on the student comprehension score being above a threshold.

Abstract: Monitoring and enhancing performance of containers using a calibration technique is implemented using a computer. Performance of a new container as part of an application running on the computer is checked by comparing a current performance of the new container with baseline data corresponding to the new container. The baseline data is derived from a calibration container corresponding to the new container. The new container is categorized in a category of performance based on the checking of the performance of the new container. An alert can be sent to a device of an administrator regarding the new container meeting a threshold of performance, in response to the new container meeting the threshold of performance. The alert can be sent to the device of the administrator for the administrator to initiate an action pertaining to the new container in response to receiving the alert.

Abstract: A method and system for cloud distributed hybrid data storage and normalization are disclosed. The method may include obtaining a data set comprising data entities. A data entity may comprise data fields each containing a data element. The method may further include determining policy constraint meta-data for each of the data elements based on the storage policy constraint. The policy constraint meta-data may include a first meta-tag indicating the storage policy constraint for the data element. The method may further include determining whether a server satisfies the storage policy constraint based on the first meta-tag for the data element. When the server satisfies the storage policy constraint, the method may further include transmitting the data element to the server to store the data element on the server. When the server fails to satisfy the storage policy constraint, the method may further include, storing the data element on the client.

Abstract: A system and method is provided to selectively process and store tables of a relational database by calculating an overall data sensitivity score for each table based on predefined attribute rules; performing column-wise splitting of at least one of the tables into a first table and a second table based on the overall data sensitivity score of each table, thereby generating a total number of relational database tables; storing a first subset of the total number of relational database tables in a private cloud storage database in a distributed storage environment based on the overall data sensitivity scores of each of the total number of relational database tables; and storing a second subset of the total number of relational database tables in a public cloud storage database of the distributed storage environment based on the overall data sensitivity scores of each of the total number of relational database tables.

Abstract: Managing hybrid cloud resources by grouping at least a portion of the elements of a data set according to attribute sensitivity into a cluster of elements, computing a resource allocation impact of the cluster of elements, computing an information gain associated with the set of elements, and allocating cloud resources according to the resource allocation impact and information gain.

Abstract: A computer-implemented method for effective agriculture and environment monitoring. The method may comprise measuring a desired variable over an area of interest using a remote inspection platform according to an inspection plan, predicting an occlusion of the remote inspection platform, and in response to the predicted occlusion, determining whether to invoke a local inspection platform to complete the inspection plan. The occlusion in some embodiments interrupts the inspection plan for the remote inspection platform.

Abstract: A field-of-view of a scene is scanned by an augmented reality device. The scene includes one or more objects including a first computing device. A portion of an electronic document is detected based on the scanned field-of-view. The portion of the electronic document is rendered on a display of the first computing device. A content element of the electronic document that is rendered on the display is captured. A second computing device determines an incomplete portion of the content element. A suggestion to complete the incomplete portion is provided by the augmented reality device.

Abstract: Methods, systems, and computer program products for pre-packaging and pre-configuring software products using chatbot message exchanges with users are described. Embodiments may include receiving a user inquiry, initiating a first chat session comprising a primary chatbot within a user interface, receiving user request data corresponding to a first string of communications, and determining a product based on the user request data.

Abstract: One embodiment provides a method, including: receiving a dataset and a model corresponding to a bias checker, wherein the bias checker detects bias within both the dataset and the model, based upon a bias checking algorithm and a bias checking policy, wherein the dataset comprises a plurality of attributes; testing the bias checking algorithm of the bias checker by (i) generating test cases that modify the dataset by introducing bias therein and (ii) running the bias checker against the modified dataset; testing the bias checking policy of the bias checker by generating a plurality of test cases and running the bias checker against the plurality of test cases; and providing a notification to a user regarding whether the bias checker failed to indicate bias for one or more of the plurality of attributes.

Abstract: Computer implemented reconstruction of compliance mapping due to an update in a regulation in the compliance mapping by a computing device includes comparing a first version of a regulation in the compliance mapping to a second, updated version of the first regulation. A change in the second version with respect to the first version is identified. The change may be an added control description, a deleted control description, or an updated control description. Upon determining that the change is an updated control description, the updated control description is analyzed to determine a type of update. The mapping of the regulation is reconstructed based on the change and, if the change is an updated control description, the type of update, using at least one of natural language processing and/or machine learning. The risk of the reconstructed mapping is assessed, and a service owner is notified about the risk of the changes.

Abstract: A processor may receive, by a computing device, the indirect command from a user. The indirect command may include an instruction to the computing device to collect an information dataset from a secondary source. A processor may analyze the information dataset from the secondary source. A processor may determine one or more actions to be performed. The one or more actions may be based, at least in part, on the information dataset from the secondary source. A processor may execute the one or more actions.

Abstract: Monitoring and enhancing performance of containers using a calibration technique is implemented using a computer. Performance of a new container as part of an application running on the computer is checked by comparing a current performance of the new container with baseline data corresponding to the new container. The baseline data is derived from a calibration container corresponding to the new container. The new container is categorized in a category of performance based on the checking of the performance of the new container. An alert can be sent to a device of an administrator regarding the new container meeting a threshold of performance, in response to the new container meeting the threshold of performance. The alert can be sent to the device of the administrator for the administrator to initiate an action pertaining to the new container in response to receiving the alert.

Abstract: A method, a computer program product, and a system of dynamically managing permissions of storage blocks. The method includes predicting at least one storage block that will be accessed by a user on a storage device and predicting a time window when the storage block will be accessed the user. The predictions can be performed by a machine learning model trained using the historical accesses and access times of the user. The method also includes granting the user an access to the storage block during the time window and monitoring whether the storage block is accessed by the user. The method also includes determining, based on the monitoring, that the user accessed the storage block, and revoking the access to the storage block granted to the user after a predetermined access time.

Abstract: One embodiment provides a computer implemented method, including: receiving interaction logs of a plurality of services of an application running on a system; generating an interaction graph identifying interactions between at least the at least one of the plurality of services and other of the plurality of services, wherein the identifying comprises identifying a frequency of interactions between services; determining constraints between at least the at least one of the plurality of services and the other of the plurality of services, wherein the constraints identify services that are dependent upon other services of the plurality of services and a compatibility of services with respect to other services of the plurality of services; and creating a remediation plan for updating the at least one of the plurality of services, wherein the remediation plan identifies a time for updating the at least one of the plurality of services.

Abstract: A service receives a persuasion-based input comprising a text and one or more marketing objectives to persuade a desired response. The service evaluates persuasion values of text segments of the text and persuasion transition values consecutively between respective persuasion values of the persuasion values across the text segments. The service generates a desired curve of persuasion factors across the text segments according to the one or more marketing objectives. The service recommends one or more replacement words to replace one or more selected words in text to move a deviation between the persuasion values and transition values in comparison to the desired curve of persuasion factors.

Abstract: A method includes receiving, by a computing device, concepts of a domain; determining, by the computing device, objects relevant to the concepts; generating, by the computing device, a new image by stitching the relevant objects together; determining, by the computing device, whether the new image is accurate or inaccurate; and in response to determining the new image is inaccurate, propagating, by the computing device, the inaccurate new image back to a convolutional neural network (CNN).

Abstract: A computer-implemented method, computer system, and computer program product for dynamic management of data storage of data associated with a computer application by a computing device based upon data classification of the data. The computing device receives access to data associated with the application. The computing device determines a data classification of the data associated with the application. The computing device allocates storage in a new data platform based upon the data classification of the data.

Abstract: In an approach for forecasting environmental occlusion events, a processor receives a spatio-temporal zone of interest. A processor collects data associated with the spatio-temporal zone of interest. A processor builds a machine-learning model using the data. A processor generates an occlusion probability map for the spatio-temporal zone of interest based on the machine-learning model and enriched mathematical operators. A processor outputs the occlusion probability map.

Abstract: A computer-implemented method includes: determining, by a computer device, initial locations of products in a repository; determining, by the computer device, an initial arrangement of the products based on the initial locations; determining, by the computer device, current locations of the products in the repository; determining, by the computer device and based on the initial locations and the current locations, that one of the products is moved away from its home location; determining, by the computer device and based on the determining the one of the products is moved away from its home location, that the one of the products is misplaced based on predefined conditions being satisfied; and generating, by the computer device, an alert based on the determining the one of the products is misplaced.