System management is the task of installing, administering, and maintaining a communications system. Customer and technician access to software‐based administration and maintenance capabilities in the System 75 office communication system occurs through an on‐line video display terminal called the System Access Terminal (SAT). With the SAT, the user may install, test, rearrange, and change equipment and services. The SAT hides the internal complexity of the system while presenting all the capabilities in as simple a manner as possible. A layered software architecture is used to perform data view mapping from the user view to the internal data representation.

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Several Wall Street firms have introduced distributed UnixR technology to address their business needs. Essential to the success of this technology is the ability to: a) ofer high system availability, b) insure high service quality, and c ) promptly notify customers impacted by a system failure.Systems Management encompasses monitoring of system components to preventldetect service disruptions and requires quick analysis of data to identifyldiagnoselrepair primary source of the disruption. In this paper we focus on the need for knowledge-based approaches to address these challenges. The contribution of AI lies in increased automation of the monitoringldiagnostic function, in particular in the shift of the complex and timeconsuming data correlation and interpretation task from a human operafor to a computer.