Machine learning model predictions become less accurate over time due to unexpected changes in the real world. This can negatively affect your business KPIs and customer experience, resulting in churn.
It is difficult to measure the true accuracy of a model in production. Less than 5% of companies that employ AI technologies have solutions to monitor the health and performance of their models.
Sanau ML Analytics monitors your machine learning models in production and notifies you if there are any factors that degrade their performance.
Manage the quality, robustness and trustworthiness of all your machine learning models in production in one place
Get a single dashboard that monitors the health of all your deployed machine learning models in production
There’s an increasing pressure from vendors supplying automated decision systems or products to comply.