Near universal network connectivity has made it possible to remotely monitor business and mission critical equipment around the clock. With such monitoring solutions, companies are accumulating enormous amount of data from fielded equipment. However, manually processing this huge volume of data to assess equipment health or diagnose failures is neither feasible nor cost-effective. Consequently, this data is not effectively leveraged to reduce troubleshooting time and unscheduled downtime.
Remote Diagnosis stands in sharp contrast with the simpler task of continuous data monitoring and alarm management, which are often marketed as a Remote Diagnosis or Remote Service solutions. Without automatic Remote Diagnosis capability, service organizations are confounded by the multiple alarms and indications each fault generates, and cannot afford the substantial number of experts needed to manually diagnose the root cause and the associated corrective action.