Abstract: A mobile decision support system for proactive decision support of an enterprise includes at least one server computer, at least one mobile communication device and at least one client system in operable communication over a network. The server computer includes a database. The client system may interface with the server computer and direct the configuration of hotspot information in the database. The hotspot information includes identification of a user, a response template and/or data. The mobile communication device may periodically request hotspot information from the server computer as a function of the user operating the mobile communication device. Based on the request, the hotspot information may be transmitted over the network to the mobile communication device. The user may generate a response to the hotspot information with the mobile communication device by selections within the response template.

Abstract: A mobile decision support system for proactive decision support of an enterprise includes at least one server computer, at least one mobile communication device and at least one client system in operable communication over a network. The server computer includes a database. The client system may interface with the server computer and direct the configuration of hotspot information in the database. The hotspot information includes identification of a user, a response template and/or data. The mobile communication device may periodically request hotspot information from the server computer as a function of the user operating the mobile communication device. Based on the request, the hotspot information may be transmitted over the network to the mobile communication device. The user may generate a response to the hotspot information with the mobile communication device by selections within the response template.

Abstract: An agent based system assists in obtaining information from an article of interest and utilizes the information to take user directed action based on the information from the target article. The system obtains input text in character form indicative of the target meeting from the a calendar program that includes the time of the meeting. As the time of the meeting approaches, the calendar program is queried to obtain the text of the target event and that information is utilized as input to the agent system. Then, the agent system parses the input meeting text to extract its various components such as title, body, participants, location, time etc. The system also performs pattern matching to identify particular appropriate information. This information is utilized to query various sources of information on the web and obtain relevant stories about the current meeting to send back to the calendaring system.