Improve the reliability and performance of your equipment
Identifies optimal repair based on multiple inputs
Can ingest both structured and unstructured data from a variety of sources to provide optimal repair guidance.. Types of inputs include repair manuals, work orders, written technician comments, root-cause failure analysis, and available regulatory standards documentation.
Supports natural language processing
Technician repair guidance is made faster and easier with a conversation based user interface including speech to text and text to speech. This means technicians can engage with guidance naturally in a method that supports their demanding roles.
Supports your devices
Designed to support all major devices used by technicians in the field.
Open with fast out-of-the-box integration
Designed for easy and fast out-of-the-box integration in customer’s existing systems/workflow. This includes inbound and outbound API support for leading asset management systems like IBM Maximo.
AI-powered with continuous learning based on Watson
Based on IBM Watson AI technology including the ability to continually learn over time. This means technician feedback is continually incorporated which sharpens repair guidance and improves outcomes.
Customizable to your domain
Contains tools and methods that enable customers to quickly optimize to their domain with no technical knowledge and without writing a single line of code. This enables customers to easily build custom industry modules based on their IP.
There are no software requirements for IBM Equipment Maintenance Assistant.
There are no hardware requirements for IBM Equipment Maintenance Assistant.