Reimagining Field Debugging with AI

Imagine a busy hospital in the middle of a clinical day. The mobile C-arm

in the OR suddenly slows down, images start to lag, and the team

cannot proceed. A field service engineer is rushed to the site to get the

system back to work. Today, that engineer has two pressures.

Bring the system up quickly, and somehow collect the right data so that R&D

can find the root cause later. In reality, this is messy. On the MVS

PC, the engineer enables different traces, runs multiple standalone tools,

and saves logs in different folders. Each engineer has a slightly different way of doing