Abstract: A cognitive meeting assistant facility is provided for assisting a moderator in an online meeting. The cognitive meeting assistant facility automatically categorizes chat questions of participants of the online meeting based on content into multiple categories of chat questions. One or more categories of chat questions of the multiple categories of chat questions include multiple questions of different participants of the online meeting. Further, the cognitive meeting assistant facility deploys the multiple categories of chat questions for display to the participants of the online meeting. The deploying includes, for each category of the at least one category of chat questions, providing a category-applicable answer for display to the participants of the online meeting in association with that category of chat questions.

Abstract: Website security tracking is provided which includes, for instance, collecting, by a processor, event-specific information related to a suspicious event at a website. The collecting includes executing at least one security tracking module integrated into website code of the website to store the event-specific information. The website is one website of multiple websites of a network. The tracking method also includes providing by the website an indication of the suspicious event and the collected event-specific information to an analytics system external to the website. The analytics system is to receive indications of any suspicious events from the multiple websites and determine, based at least in in part on collected event-specific information related to the suspicious events, a confidence level of whether the suspicious event is part of a common security attack on the network.

Abstract: Methods, systems and computer program products for determining and providing an availability status of an individual in a messaging application are provided. Aspects include obtaining historical usage data for the individual for the messaging application, obtaining location data, activity data and calendar data for the individual, and calculating a current availability status for the individual based on the historical usage data, the location data, the activity data and the calendar data. Aspects also include calculating a predicted future availability status for the individual based on the historical usage data, the location data, the activity data and the calendar data and providing the current availability status and the predicted future availability status to other users of the messaging application.

Abstract: A cognitive meeting assistant facility is provided for assisting a moderator in an online meeting. The cognitive meeting assistant facility automatically categorizes chat questions of participants of the online meeting based on content into multiple categories of chat questions. One or more categories of chat questions of the multiple categories of chat questions include multiple questions of different participants of the online meeting. Further, the cognitive meeting assistant facility deploys the multiple categories of chat questions for display to the participants of the online meeting. The deploying includes, for each category of the at least one category of chat questions, providing a category-applicable answer for display to the participants of the online meeting in association with that category of chat questions.

Abstract: Website security tracking is provided which includes, for instance, collecting, by a processor, event-specific information related to a suspicious event at a website. The collecting includes executing at least one security tracking module integrated into website code of the website to store the event-specific information. The website is one website of multiple websites of a network. The tracking method also includes providing by the website an indication of the suspicious event and the collected event-specific information to an analytics system external to the website. The analytics system is to receive indications of any suspicious events from the multiple websites and determine, based at least in in part on collected event-specific information related to the suspicious events, a confidence level of whether the suspicious event is part of a common security attack on the network.