Abstract: Techniques are described to automate deployment of an application as a cloud computing service. Such deployment may be accomplished on any underlying host infrastructure. As mentioned above, a typical application may engage in a number of build and deployment processes in order to run on a host computer with an infrastructure type. The techniques described herein may leverage an artificial intelligence computation library to identify which build and deployment processes are required by the application. Once identified, the user may select a host infrastructure type and create a container package with a runtime machine and components configure to run these build and deployment processes for that host infrastructure type. The container package may be used to generate an image from which the host computer can run the application as the cloud computing service. Other embodiments are described and claimed.

Abstract: In some embodiments, in connection with a user input of a user, a set of selective parameters to be configured by the user for a structured data query may be determined. As an example, the set of selective parameters may be a first set of selective parameters for the structured data query in response to the set of permissions being a first set of permissions. As another example, the set of selective parameters may be a second set of selective parameters different from the first set of selective parameters in response to the set of permissions being a second set of permissions. One or more input fields for configuring one or more selective parameters of the set of selective parameters may be generated for display, and an executable data query may be generated based on configuration information (related to the selective parameters) that is obtained via the input fields.

Abstract: Systems and methods are provided for managing structured data queries.

Abstract: Techniques are described to automate deployment of an application as a cloud computing service. Such deployment may be accomplished on any underlying host infrastructure. As mentioned above, a typical application may engage in a number of build and deployment processes in order to run on a host computer with an infrastructure type. The techniques described herein may leverage an artificial intelligence computation library to identify which build and deployment processes are required by the application. Once identified, the user may select a host infrastructure type and create a container package with a runtime machine and components configure to run these build and deployment processes for that host infrastructure type. The container package may be used to generate an image from which the host computer can run the application as the cloud computing service. Other embodiments are described and claimed.

Abstract: Techniques are described to automate deployment of an application as a cloud computing service. Such deployment may be accomplished on any underlying host infrastructure. As mentioned above, a typical application may engage in a number of build and deployment processes in order to run on a host computer with an infrastructure type. The techniques described herein may leverage an artificial intelligence computation library to identify which build and deployment processes are required by the application. Once identified, the user may select a host infrastructure type and create a container package with a runtime machine and components configure to run these build and deployment processes for that host infrastructure type. The container package may be used to generate an image from which the host computer can run the application as the cloud computing service. Other embodiments are described and claimed.

Abstract: Techniques are described to automate deployment of an application as a cloud computing service. Such deployment may be accomplished on any underlying host infrastructure. As mentioned above, a typical application may engage in a number of build and deployment processes in order to run on a host computer with an infrastructure type. The techniques described herein may leverage an artificial intelligence computation library to identify which build and deployment processes are required by the application. Once identified, the user may select a host infrastructure type and create a container package with a runtime machine and components configure to run these build and deployment processes for that host infrastructure type. The container package may be used to generate an image from which the host computer can run the application as the cloud computing service. Other embodiments are described and claimed.

Abstract: A method for facilitating marketing campaign workflow is disclosed. The method includes a processor receiving a user request to create a marketing campaign. Based on the user request, the processor identifies a first segmented market population and a second segmented market population. Further, the processor outputs a first request and second request seeking information about the first and second segmented market populations, respectively. In response, the processor receives the first and second segments market populations. Using customer information associated with the first and second segmented market populations, a target population database is generated. The marketing campaign is then executed to at least a portion of the target population. After a predetermined amount of time, the results of the marketing campaign are automatically compared to a previous marketing campaign.

Abstract: Techniques are described to automate deployment of an application as a cloud computing service. Such deployment may be accomplished on any underlying host infrastructure. As mentioned above, a typical application may engage in a number of build and deployment processes in order to run on a host computer with an infrastructure type. The techniques described herein may leverage an artificial intelligence computation library to identify which build and deployment processes are required by the application. Once identified, the user may select a host infrastructure type and create a container package with a runtime machine and components configure to run these build and deployment processes for that host infrastructure type. The container package may be used to generate an image from which the host computer can run the application as the cloud computing service. Other embodiments are described and claimed.

Abstract: Systems and methods are provided for managing structured data queries.

Abstract: A navigation system is able to find an optimum route to a destination even when a large non-digitized area exists between a starting point to the destination. The navigation system produces processing points based on a particular shape and size of the large non-digitized area and determines whether such processing points should be used for route search operations. When it is determined that the route search operation is effective, the navigation system performs A* algorithm search operations with respect to the start point, processing points and the destination and detects an optimum route to detour the large non-digitized area.

Abstract: A navigation system is able to find an optimum route to a destination even when a large non-digitized area exists between a starting point to the destination. The navigation system produces processing points based on a particular shape and size of the large non-digitized area and determines whether such processing points should be used for route search operations. When it is determined that the route search operation is effective, the navigation system performs A* algorithm search operations with respect to the start point, processing points and the destination and detects an optimum route to detour the large non-digitized area.