Abstract: Embodiments analyze historical events to calculate the impact of multi-system events and, in response, allocate resources. Embodiments determine a multi-system event is occurring based on historical multi-system event data; correlate the multi-system event with one or more predicted resource allocation results of the multi-system event based on historical multi-system event data; and in response to the correlation, initiate mitigation of the one or more predicted resource allocation results, including re-allocation of at least one affected resource to a new system.

Abstract: Embodiments analyze historical events to calculate the impact of multi-system events and, in response, allocate resources. Embodiments determine a multi-system event is occurring based on historical multi-system event data; correlate the multi-system event with one or more predicted resource allocation results of the multi-system event based on historical multi-system event data; and in response to the correlation, initiate mitigation of the one or more predicted resource allocation results, including re-allocation of at least one affected resource to a new system.

Abstract: Embodiments analyze historical events to calculate the impact of multi-system events and, in response, allocate resources. Embodiments determine a multi-system event is occurring based on historical multi-system event data; correlate the multi-system event with one or more predicted resource allocation results of the multi-system event based on historical multi-system event data; and in response to the correlation, initiate mitigation of the one or more predicted resource allocation results, including re-allocation of at least one affected resource to a new system.

Abstract: Embodiments analyze historical events to calculate the impact of multi-system events and, in response, allocate resources. Embodiments determine a multi-system event is occurring based on historical multi-system event data; correlate the multi-system event with one or more predicted resource allocation results of the multi-system event based on historical multi-system event data; and in response to the correlation, initiate mitigation of the one or more predicted resource allocation results, including re-allocation of at least one affected resource to a new system.

Abstract: A system and method of determining a recommended location for performing a work function is provided. In some examples, the system and method may include receiving a plurality of process criteria, such as hours of operation associated with the work function, type of work performed, skill set desired, language skills desired, and the like. The system and method may further include receiving a plurality of provider attributes, such as languages spoken, knowledge base/skill set, flexibility of staffing, and the like. One or more recommended locations for performing the work function may be determined based on the business and provider attributes.

Abstract: A system and method of determining a recommended location for performing a work function is provided. In some examples, the system and method may include receiving a plurality of process criteria, such as hours of operation associated with the work function, type of work performed, skill set desired, language skills desired, etc. The system and method may further include receiving a plurality of provider attributes, such as languages spoken, knowledge base/skill set, flexibility of staffing, etc. One or more recommended locations for performing the work function may be determined based on the business and provider attributes.

Abstract: A system and method of identifying one or more locations eligible to perform a work function based on one or more filtering parameters is provided. The system and method may include receiving a first plurality of locations and filtering the first plurality of locations to identify a second plurality of locations eligible to perform an identified work function based on a first filtering parameter. The second plurality of locations may be further filtered to determine a third plurality of eligible locations, the third plurality of eligible locations being identified based on a second filtering parameter. In some examples, the third plurality of locations may be further filtered to identify a fourth plurality of eligible locations, the fourth plurality of eligible locations being identified based on a third filtering parameter.

Abstract: System and methods are provided for creating a topology of a communications network. One embodiment includes receiving a first instance of topology information at one or more integration sources and determining if the first instance of topology information includes a portion of topology information on a span of the communications network by the one or more integration sources. If the first instance of topology information only includes the portion of topology information, then receiving, at the one or more integration sources a second instance of topology information, and supplementing the first instance with the second instance of topology information to form complete topology information of the span of the communications network by the one or more integration sources and transferring the complete topology information to a topology data structure.

Abstract: A food glazing system for automatically applying a glaze to an edible object. An inclined heatable surface is disposed in the path of sugar dispensed from a sugar dispenser and is positioned to heat the sugar enroute to an edible object to be glazed.

Abstract: A food glazing system for automatically applying a glaze to an edible object. An inclined heatable surface is disposed in the path of sugar dispensed from a sugar dispenser and is positioned to heat the sugar enroute to an edible object to be glazed.

Abstract: A food glazing system for automatically applying a glaze to an edible object. An inclined heatable surface is disposed in the path of sugar dispensed from a sugar dispenser and is positioned to heat the sugar enroute to an edible object to be glazed.

Abstract: A method of forming a porous mullite composition of acicular mullite grains having improved properties is described, where the mullite is formed at some time in the presence of a fluorine containing gas. For example, it has been discovered that improved properties may result from heating the mullite to a high temperature in an atmosphere selected from the group consisting of water vapor, oxygen, an inert gas or mixtures thereof or forming the mullite composition from precursors having an AL/Si ratio of at most 2.95.