Data collected in complex environments often represents a knowledge-base of experiences of people, systems and events. Examples of such datasets include vehicle repairs, patient records and more. Each of the datasets represents a wealth of information which, when combined with Ubiquiti's artificial intelligence and machine learning solutions, can be used for predictive and prescriptive purposes.
...it works very well, and may be the single most valuable use of AI in the automotive sector!
Example: Vehicle Repairs
Vehicle repair records represent the experience and knowledge of hundreds of expert mechanics. Ubiquiti's diagnostics software taps into this collective wisdom to help identify the problem and the recommended repairs for a new vehicle repair case.
Example: Patient Care
A repository of healthcare records represents the collective wisdom of medical practitioners. Such datasets can drive an application that uses symptoms, signs and patient attributes to prescribe follow-up lab tests, identify diseases and suggest treatments.