QA platform for data science leaders to get control over the quality of machine learning systems

Published on: January 13, 2021 | Location: Tel-Aviv, Israel | Tags: Artificial Intelligence, Machine Learning
Deepchecks is a QA platform that inspects the production data and models so that data science leaders have control over the quality of their machine learning systems.

No best practices exist yet for performing QA on machine learning systems. There are no guides, textbooks, or university courses - since machine learning has only begun to fulfil it's potential within actual products.
There are a number of young startups that offer ML monitoring solutions, but most of these focus on specific problems such as concept drift, and don't offer a comprehensive approach towards assuring the quality of the entire system.