Training Models

The no-code and low-code approaches are really important in the company: on the one hand they allow "business" colleagues to be increasingly independent in the creation of reports and statistical analyzes, on the other hand they help digital staff to increase their productivity and quality of the algorithms they develop.

Data Scientists need no-code tools that deal with the collection, cleaning, quality control of data, and the creation of artificial intelligence training models.