Abstract: A computer-implemented method for verifying a transaction in a blockchain network may be provided. The blockchain network comprises nodes participating in performing the transaction. The method comprises grouping the nodes of the blockchain network into a plurality of clusters of nodes. For each cluster, the method comprises determining for each node of the cluster performance parameter values, calculating a weighted sum of the determined performance parameter values, designating the node with the highest weighted sum as cluster leader, designating a number of nodes of the cluster whose weighted sum is next to the highest weighted sum, as sub-cluster leader, the number being at least half of the total number of nodes within said cluster, and verifying the transaction for the cluster by the cluster leader and the sub-cluster leaders.

Abstract: Context data pertaining to a target audience to which a product is to be demonstrated can be determined. The target audience can be classified based on the context data. Classifying the target audience can include selecting an audience type out of a predefined plurality of audience types. Customization data can be generated based on the selected audience type. The customization data can be configured to customize demonstration of the product to the target audience.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions which are executed by the at least one processor and configure the processor to implement a cognitive security system. The cognitive security system generates a violation array. Each entry of the violation array represents identification of a workflow activity that violates a security policy. Responsive to a new workflow orchestration being created by a user, the cognitive security system compares each activity of the new workflow orchestration to the violation array. Responsive to determining a given activity of the new workflow orchestration exists in the violation array, the cognitive security system recommends to the user to remove the given activity from the new workflow orchestration.

Abstract: A computer-implemented method for verifying a transaction in a blockchain network may be provided. The blockchain network comprises nodes participating in performing the transaction. The method comprises grouping the nodes of the blockchain network into a plurality of clusters of nodes. For each cluster, the method comprises determining for each node of the cluster performance parameter values, calculating a weighted sum of the determined performance parameter values, designating the node with the highest weighted sum as cluster leader, designating a number of nodes of the cluster whose weighted sum is next to the highest weighted sum, as sub-cluster leader, the number being at least half of the total number of nodes within said cluster, and verifying the transaction for the cluster by the cluster leader and the sub-cluster leaders.

Abstract: Context data pertaining to a target audience to which a product is to be demonstrated can be determined. The target audience can be classified based on the context data. Classifying the target audience can include selecting an audience type out of a predefined plurality of audience types. Customization data can be generated based on the selected audience type. The customization data can be configured to customize demonstration of the product to the target audience.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions which are executed by the at least one processor and configure the processor to implement a cognitive security system. The cognitive security system generates a violation array. Each entry of the violation array represents identification of a workflow activity that violates a security policy. Responsive to a new workflow orchestration being created by a user, the cognitive security system compares each activity of the new workflow orchestration to the violation array. Responsive to determining a given activity of the new workflow orchestration exists in the violation array, the cognitive security system recommends to the user to remove the given activity from the new workflow orchestration.