Abstract: A method, system, and computer program product for behavior-based Internet of Things (IoT) device security are provided. The method detects an action from a set of IoT devices. A context is identified for the action and at least one IoT device of the set of IoT devices. The action and the context are validated for the at least one IoT device. The action is identified as an anomaly based on the validating of the action and the context. A potential state change is identified for the at least one IoT device based on the anomaly. The method determines a responsive action based on the potential state change and the anomaly.

Abstract: Embodiments for providing intelligent land use planning recommendations using heterogeneous temporal datasets in a computing environment. One or more positive land-use interventions, one or more negative land-use interventions, or a combination thereof may be recommended for a selected geographical region from heterogeneous chronological data.

Abstract: A method, system, and computer program product for behavior-based Internet of Things (IoT) device security are provided. The method detects an action from a set of IoT devices. A context is identified for the action and at least one IoT device of the set of IoT devices. The action and the context are validated for the at least one IoT device. The action is identified as an anomaly based on the validating of the action and the context. A potential state change is identified for the at least one IoT device based on the anomaly. The method determines a responsive action based on the potential state change and the anomaly.

Abstract: Embodiments for entity transaction interaction analysis and summarization by a processor. Transaction elements relating to one or more entity transaction interactions may be identifies and extracted from one or more communications. The transaction elements may be combined with one or more transaction opportunities and transaction historical data to provide a transaction summary.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate sensitive data policy recommendation are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an extraction component that can employ an artificial intelligence model to extract compliance data from a data source. The computer executable components can further comprise a recommendation component that can recommend a sensitive data policy based on the compliance data. In some embodiments, the recommendation component can further identify one or more sensitive data entities of a sensitive data dataset that are affected by actionable obligation data of the data source.

Abstract: Various embodiments are provided for managing regulatory compliance for an entity in a computing environment by a processor. A law, policy, regulation, or a combination thereof extracted from one or more segments of text data from one or more data sources may be identified requiring an obligation to be performed by the entity.

Abstract: Embodiments for intelligent application development by a processor. One or more application code changes may be automatically into one or more application code change groups for a versioning system, wherein the one or more application code groups are logically consistent and self-contained.

Abstract: To improve the security performance of a computer system, a retrieval component executing on at least one hardware processor obtains a list of known compromised passwords. A validation component executing on the at least one hardware processor obtains a specification of a putative password and risk-scores the putative password based at least in part on presence of the putative password in the list of known compromised passwords. The system obtains a specification of an actual password chosen in accordance with the risk score of the putative password. Access to at least one aspect of the computer system is controlled based on the actual chosen password.

Abstract: A method for unsupervised transformation of denormalized data into RDF data includes summarizing an existing resource description framework (RDF) file wherein a data summary file is produced, wherein said RDF file includes a plurality of nodes, property labels, and literals and is represented as a directed graph, and said data summary file is a graph that includes a single instance of each node-property-literal triple in the RDF file; analyzing a plurality of denormalized records wherein a record summary is produced, wherein said record summary is represented as a directed graph with a root node corresponding to each record connected to a node for each field in the record; determining one or more transformation patterns that match elements of the record summary to elements of the data summary; and transforming the plurality of denormalized records into a new RDF file by executing one of the one or more transformation patterns.

Abstract: Embodiments for providing intelligent land use planning recommendations using heterogeneous temporal datasets in a computing environment. One or more positive land-use interventions, one or more negative land-use interventions, or a combination thereof may be recommended for a selected geographical region from heterogeneous chronological data.

Abstract: Embodiments for intelligent application development by a processor. One or more application code changes may be automatically into one or more application code change groups for a versioning system, wherein the one or more application code groups are logically consistent and self-contained.

Abstract: Various embodiments are provided for providing intelligent data security in a computing environment are provided. One or more data vulnerabilities may be identified from a plurality of data. Selected data having the one or more identified data vulnerabilities may be protected by applying one or more data protection policies or rules, wherein the selected data is de-identified.

Abstract: Embodiments for intelligent facilitation of communication by a processor. A communication error in one or more selected portions of a communication of a user may be identified. The communication error in the one or more selected portions of the communication may be automatically translated.

Abstract: A first client device detects driving of a vehicle. The first client device establishes a passenger operation network connection with a second client device. The first client device receives, based on the established network connection and based on the detected driving of the vehicle, at least one instruction directed towards a first client operation of the first client device. The first client device executes, responsive to the received at least one instruction and based on the established network, the first client operation.

Abstract: Embodiments for entity transaction interaction analysis and summarization by a processor. Transaction elements relating to one or more entity transaction interactions may be identifies and extracted from one or more communications. The transaction elements may be combined with one or more transaction opportunities and transaction historical data to provide a transaction summary.

Abstract: Embodiments for extraction and summarization of decision discussions of a communication by a processor. The decision elements may be grouped together according to similar characteristics. The decision elements may be linked, and sentiments of the discussion participants towards each of the decision elements may be analyzed. A summary of the plurality of the decision elements may be provided via an interactive graphical user interface (GUI) on one or more Internet of Things (IoT) devices. The summary of the decision elements may be linked to domain knowledge. The summary may be enhanced using a domain knowledge.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate sensitive data policy recommendation are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an extraction component that can employ an artificial intelligence model to extract compliance data from a data source. The computer executable components can further comprise a recommendation component that can recommend a sensitive data policy based on the compliance data. In some embodiments, the recommendation component can further identify one or more sensitive data entities of a sensitive data dataset that are affected by actionable obligation data of the data source.

Abstract: Embodiments for intelligent facilitation of communication by a processor. A communication error in one or more selected portions of a communication of a user may be identified. The communication error in the one or more selected portions of the communication may be automatically translated.

Abstract: Various embodiments are provided for managing regulatory compliance for an entity in a computing environment by a processor. A law, policy, regulation, or a combination thereof extracted from one or more segments of text data from one or more data sources may be identified requiring an obligation to be performed by the entity.

Abstract: A first client device detects driving of a vehicle. The first client device establishes a passenger operation network connection with a second client device. The first client device receives, based on the established network connection and based on the detected driving of the vehicle, at least one instruction directed towards a first client operation of the first client device. The first client device executes, responsive to the received at least one instruction and based on the established network, the first client operation.