Abstract: A graph database for outbreak tracking and management is disclosed. In an example embodiment, an outbreak management system includes a memory device storing instructions that define a graph database for disease outbreak tracking. The instructions specify for a given host that a host node is created and an episode node is connected to the host node via a ‘case’ link. The episode node is associated with episode parameters that are related to a disease classification of the host. In addition, the instructions specify that an outbreak node is connected to the episode node via a ‘part of’ link to indicate that the host has become part of an outbreak of the disease. The outbreak node is connected to a definition node via a ‘defined as’ link. The definition node specifies disease parameters of the disease that is related to the outbreak node.

Abstract: An embodiment of the present invention is directed to a capacity management and live user location tool. According to an embodiment of the present invention, live location data may be accessed from an active resource associated with a user. For example, live location data may include data from a VDI/LVDI asset that indicates that the user is logged into at a particular point and/or what port (e.g., Ethernet port) is used. An embodiment of the present invention is directed to an Application Program Interface (API) that accesses a directory and live record of assets (from floor to floor) to create a live map to identify capacity. Capacity may include what desks are free and who is sitting at what desk. An embodiment of the present invention may record this information on a day by day basis and generate capacity maps on a periodic basis, e.g., month to month, etc.

Abstract: According to an embodiment of the present invention, a Sentiment Analyzer Tool comprises: a data repository; a user interface that graphically presents metrics based on the sentiment data; an application program interface and a processor configured to perform: receiving, via an electronic input, real-time customer communication; extracting, via the processor, text data from the real-time customer communication; generating, via the processor, a customer sentiment score based on the text data; comparing, via the processor, the customer sentiment score to a threshold value to determine a positive sentiment, neutral sentiment or negative sentiment; and graphically representing, via the interactive user interface, the customer sentiment score as compared to sentiment data associated with a plurality of other customers wherein the interactive user interface displays overall sentiment data, sentiment data over a predetermined period of time and a combination of: emotion data, social tendencies data and language styl