Mitek’s AI solutions are eminently scalable provided good quality data is available.

The solutions are also proven in many cases with degraded data quality. Mitek developed data cleansing and reconciliation algorithms that allow to deal with less than perfect data.

Very often data is collected and thought to be available. Yet, if the data was never before used for AI or other advanced analytics, it might require careful validation. As an example, reconciling seemingly good install and removal records for serialized parts for one customer uncovered that 20% of the parts appear to be installed on two aircraft at the same time, for a period of time.

Mitek AI Data Engineers help to uncover data problems and cleanse the data used by the AI. This might require custom engineering work, because a broad variety of unanticipated data issues is possible.