We designed our system to fit the needs of data scientists and engineers, no matter which ML tasks they are tackling. Having said that, we’ve seen some use cases come up repeatedly within each industry.
In many cases, an organization creating an ML solution for a different party doesn’t fully control the data being processed. While they are still held accountable for the quality of their systems’ output, the owners or controllers of the data don’t always bother to let them know about gradual or sudden changes in the data. Deepchecks offers a comprehensive solution for continuous validation of this type of system so that you get real-time alerts about distribution changes, changes in the data scheme, data integrity issues, and more. Using Deepchecks, you can increase the control you have over your ML system, and ensure you provide high-quality service to your clients, even if the data is controlled by someone else!