Abstract: A method and a device for providing contextual information. The method includes detecting an invocation of a camera application via a user-input while executing a non-camera application by a device. The method further includes identifying content from one or more of a preview of the camera application and multi-media captured by the camera application. Further, the method includes identifying contextual information based on one or more of the identified content and information available from the non-camera application. Further, the method includes allowing the identified contextual information to be shared between the camera application and the non-camera application.

Abstract: A technique is described that simplifies the process for applying predictive analysis to a dataset. The technique can recommend multiple templates to a user. Each recommend template contains algorithms which can be applied to the dataset. When a template is selected, the technique can rank the available algorithms of the selected template based on factors such as values in the dataset, characteristics of the dataset, and the usage history of the dataset or the algorithms in prior instances. The technique can automatically select the highest ranked algorithm and apply it to the dataset. In some examples, input parameters used to configure the algorithm can also be automatically selected.

Abstract: In one embodiment, a selection of a process component associated with a process flow is received. Further, a check is made to determine whether a graphical editor includes process components associated with the process flow. If the graphical editor does not include process components, the selected process component is placed on the graphical editor. If the graphical editor includes the process components, then compatibility of the selected process component with at least one of the one or more process components is determined by identifying cardinality and type of the process component. Further, the selected process component is connected to the process flow on the graphical editor based on the determined compatibility.

Abstract: A technique is described that simplifies the process for applying predictive analysis to a dataset. The technique can recommend multiple templates to a user. Each recommend template contains algorithms which can be applied to the dataset. When a template is selected, the technique can rank the available algorithms of the selected template based on factors such as values in the dataset, characteristics of the dataset, and the usage history of the dataset or the algorithms in prior instances. The technique can automatically select the highest ranked algorithm and apply it to the dataset. In some examples, input parameters used to configure the algorithm can also be automatically selected.

Abstract: In one embodiment, a selection of a process component associated with a process flow is received. Further, a check is made to determine whether a graphical editor includes process components associated with the process flow. If the graphical editor does not include process components, the selected process component is placed on the graphical editor. If the graphical editor includes the process components, then compatibility of the selected process component with at least one of the one or more process components is determined by identifying cardinality and type of the process component. Further, the selected process component is connected to the process flow on the graphical editor based on the determined compatibility.