Bopup Observer is a fast, simple and completely managed one-way instant messenger that gives an efficient way to keep employees informed and updated securely just in a few seconds. It is ideal for use in medical, clinic and educational networks to receive urgent messages, high-priority events, alerts and documents sent by administrator and other co-workers. The messenger connects to an IM server, Bopup Communication Server, which provides automated, planned and offline messaging with a chat, conversation and file transfer history. This messaging client works like an instant pager and it supports extended messages with font and color formatting, URLs and hyperlinks shown in the text of incoming notifications. The most important feature is the Confirmation Mode activated on the collaboration server that pops up and brings the application on a top of other programs on the Desktop until the user confirms the received message. This is a great and very attractive way to get a user's attention and to be sure that the critical message has been properly delivered. Since Bopup Observer is offered for use in business LANs and enterprise-level networks it provides different authorization methods including Windows Authentication for domain-based environments. The chat server organizes user groups and includes the News Messaging system to send instant messages and emergency alerts on a scheduled time or with specified regularity. Bopup Communication Server also distributes new versions of the messenger software so there are no needs to update the client programs by hand on employee workstations. Built-in Branding functionality gives an easy customization and shows company logo uploaded on the communications server in the messenger GUI. The IM server has an integration with Active Directory and imports user accounts and AD groups. This client supports Terminal / Citrix environments with multiple instances of the messenger running on the same server PC.
Free to try
Windows Server 2008
Efforts to detect fake news are not as advanced as they would appear, given that the best practices so far rely on pattern detection that can itself be exploited by malicious actors, according to new research from MIT.