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: Systems, methods, and computer programming products for self-learning order dressing rules applied to manufacturing products in accordance with received product specifications. The translation from commercial characteristics to manufacturing characteristics of the product being manufactured are learned and adjusted to meet the specifications for quality required by the provided commercial characteristics. Reinforcement learning models learn from the quality characteristics of produced products by applying positive scores when the commercial to manufacturing characteristic translation is on-specification, otherwise a penalty is applied when an off-spec product is produced. Digital twins of manufacturing equipment, simulated in real time, provide insight and recommendations for achieving correct quality characteristics. Sensors in each device or within the surrounding environment help digital twins to measure operational performance and lifecycle of the manufacturing equipment against historical baselines.

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: Policy deviations for distributed computing environments are detected and recorded an immutable ledger of transaction provenance from end to end transactions performed in the distributed computing environment. From the immutable ledger, persona data for transaction types is plotted as an bipartite graph. Edge weights of the bipartite graphs are correlated to trust levels between personas from the persona data and the transaction types from the immutable ledger. Trust levels from the edge weights are correlated to rules illustrating when the transaction provenance indicate a policy deviation in the distributed computing environment. The rules are then employed to detect in real time end to end provenance when a policy deviation in the distributed computing environment is occurring. An alert of policy deviations may be sent to stakeholders for the distributed computing environment.

Abstract: Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises identifying a plurality of data logs; generating a data model using analyzed time series data from the identified data logs; detecting anomalies within the generated data model; constructing a causal graph using the detected anomalies and retrieved domain knowledge; computing a severity value for the detected anomalies with the constructed causal graph; assigning the detected anomaly to a classification based on a function vector, wherein the computed severity value is a function vector; and automatically modifying a function of a computing device based on the function vector of the assigned, detected anomaly, wherein a modification addresses the detected anomaly located at a center of the constructed casual graph.

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: Policy deviations for distributed computing environments are detected and recorded an immutable ledger of transaction provenance from end to end transactions performed in the distributed computing environment. From the immutable ledger, persona data for transaction types is plotted as an bipartite graph. Edge weights of the bipartite graphs are correlated to trust levels between personas from the persona data and the transaction types from the immutable ledger. Trust levels from the edge weights are correlated to rules illustrating when the transaction provenance indicate a policy deviation in the distributed computing environment. The rules are then employed to detect in real time end to end provenance when a policy deviation in the distributed computing environment is occurring. An alert of policy deviations may be sent to stakeholders for the distributed computing environment.

Abstract: In an approach to improve multi-data center environments by minimizing the environmental impact of workloads in multi-data center environments embodiments migrate at least a portion of one or more workloads between one or more data centers automatically to maximize a usage of renewable energy based on a predetermined threshold score of input power and a combination of renewal energy sources. Further, embodiments dictate, by a policy engine, where at least a portion of the one or more workloads can be hosted. Additionally, embodiments control, by a scheduling engine, how, when, and where at least a portion of the one or more workloads will migrate, and perform data replication to migrate data between a plurality of data center locations.

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: 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.

Abstract: Methods, systems, and computer program products for automatically classifying heterogeneous documents using machine learning techniques are provided herein. A computer-implemented method includes extracting multiple features from one or more sets of heterogeneous documents; arranging at least a portion of the extracted features into multiple hierarchically-defined classes; selecting one or more of the documents associated with each of the multiple hierarchically-defined classes; training at least one machine learning model using at least a portion of the selected documents; and automatically classifying at least one input document into one or more of the multiple hierarchically-defined classes by processing one or more portions of the at least one input document using the at least one trained machine learning model.

Abstract: An approach is provided for providing record-level sensitivity-based data storage in a networked computing environment. For each data record of a plurality of data records (e.g., rows) in a dataset, the record sensitivity is identified based on the data included in the data record, allowing different sensitivities to be identified for different records in the same dataset. A data center that has a data center sensitivity level that matches the record sensitivity is selected for the identified record sensitivity. Each data record is stored to a selected data center, with data records having different record sensitivities being stored in different data centers of different types, locations, etc.

Abstract: One or more computer processors determine a storage strategy for each chunked data block in a training dataset based on a respective computed usefulness score and a series of usefulness thresholds, wherein the storage strategy comprises RAID strategies that include striping, mirroring, parity, and double parity. The one or more computer processors distribute each data block in the training dataset according to the respective determined storage strategy.

Abstract: Application-specific prioritization of streaming data replication. Data streamed from connected devices is selectively replicated to data storage clusters based on needs of the applications being served by the data. Data characterization supports prioritized replication processing. Statistical metrics compare streaming data with estimated values to characterize the data for prioritization.

Abstract: Provided is a method, system, and computer program product for storing images across multiple distributed computing systems according to image sensitivity. The method comprises identifying an image and analyzing the image to identify sensitive information in the image. The method further comprises splitting the image into a sensitive portion and a non-sensitive portion. The method further comprises storing the sensitive portion of the image in a first distributed computing system and storing the non-sensitive portion of the image in a second distributed computing system.