Product and asset condition is monitored, but data is not collected to build a model that can be used to predict performance.
Goals and Objectives
Proactive service and maintenance, including upsell of add-on services.
Hardware: Servers, storage, IoT, smartphones, tablets
Software: PLM, ERP, SLM (service planning & execution), BDA, Cognitive/AI
Services: Connectivity services, IT services
Use Case Summary
The ability to see product performance in real time, build a historical view of assets and products, and predict quality issues is in place. Digital twins are used to visually monitor these assets and products, as well as view historical and predict future performance.