Abstract: Techniques for data-driven requirements analysis and matching are described, including receiving an input from a notification service over a data network, the input including data indicating a requirement used to manufacture, procure, or distribute an item, the requirement being generated by an application configured to identify an attribute of the item, querying an endpoint in response to the input, the input indicating a machine capable of manufacturing the item, transforming the input, the data, and a result to a data format using a logic module of the platform to generate match data identifying a supplier capable of manufacturing at least a portion of the item, ranking the match data, and changing the match data from the data format to another format used to render a display of resultant data from the match data presented on a display.

Abstract: Techniques for data-driven requirements analysis and matching are described, including receiving an input from a notification service using a data network, the input including data associated with a requirement generated by an application configured to identify an attribute of the item, querying an endpoint in response to the input, the input being associated with a machine in data communication with a platform, transforming the input, the data, and a result to a data format using a logic module to generate match data to identify a vendor capable of manufacturing at least a portion of the item, ranking and transforming the match data to a different data format to render a display of resultant data transmitted by the platform to the notification service for display on one or more client devices used to procure a manufacturing, procurement, or distribution service for the item.

Abstract: Techniques for data-driven requirements analysis and matching are described, including receiving an input from a notification service using a data network, the input including data associated with a requirement generated by an application configured to identify an attribute of the item, querying an endpoint in response to the input, the input being associated with a machine in data communication with a platform, transforming the input, the data, and a result to a data format using a logic module to generate match data to identify a vendor capable of manufacturing at least a portion of the item, ranking and transforming the match data to a different data format to render a display of resultant data transmitted by the platform to the notification service for display on one or more client devices used to procure a manufacturing, procurement, or distribution service for the item.

Abstract: Techniques for data-driven requirements analysis and matching are described, including receiving an input from a notification service over a data network, the input including data indicating a requirement used to manufacture, procure, or distribute an item, the requirement being generated by an application configured to identify an attribute of the item, querying an endpoint in response to the input, the input indicating a machine capable of manufacturing the item, transforming the input, the data, and a result to a data format using a logic module of the platform to generate match data identifying a supplier capable of manufacturing at least a portion of the item, ranking the match data, and changing the match data from the data format to another format used to render a display of resultant data from the match data presented on a display.

Abstract: Techniques for data-driven requirements analysis and matching are described, including receiving an input from a notification service using a data network, the input including data associated with a requirement generated by an application configured to identify an attribute of the item, querying an endpoint in response to the input, the input being associated with a machine in data communication with a platform, transforming the input, the data, and a result to a data format using a logic module to generate match data to identify a vendor capable of manufacturing at least a portion of the item, ranking and transforming the match data to a different data format to render a display of resultant data transmitted by the platform to the notification service for display on one or more client devices used to procure a manufacturing, procurement, or distribution service for the item.

Abstract: Techniques for data-driven requirements analysis and matching are described, including receiving an input from a notification service over a data network, the input including data indicating a requirement used to manufacture, procure, or distribute an item, the requirement being generated by an application configured to identify an attribute of the item, querying an endpoint in response to the input, the input indicating a machine capable of manufacturing the item, transforming the input, the data, and a result to a data format using a logic module of the platform to generate match data identifying a supplier capable of manufacturing at least a portion of the item, ranking the match data, and changing the match data from the data format to another format used to render a display of resultant data from the match data presented on a display.

Abstract: Aspects of the present disclosure involve systems and methods for integrating human and machine sourced data from a computing network into a shared database. The human and machine sourced data is available by one or more network administrators to allow the administrators to collaborate within the combined data set to create and execute one or more solution workflows to respond to events occurring within the network. In one embodiment, the human and machine sourced data is stored in the database as a single data set. In this manner, the data or network information may be searched collectively through one search query applied to the stored data.

Abstract: Methods, apparatuses and systems facilitating the concurrent classification and control of tunneled and non-tunneled data flows in a packet-based computer network environment. As discussed in more detail below, embodiments of the present invention allow for the “intra-tunnel” classification of data flows and, based on the classification, the deterministic and intelligent application of aggregate bandwidth utilization controls on data flows corresponding to a given tunnel. Embodiments of the present invention allow for the allocation of bandwidth on an application-level basis between tunneled and non-tunneled traffic, as well as between applications within a given tunnel. Other embodiments of the present invention can be configured to provide a differentiated security model for non-tunneled and tunneled traffic. In addition, embodiments of the present invention can be further configured to implement a layered security model for tunneled traffic.