AI for Validation of a Digital Product
A tech company needed help to analyze the viability of building a digital product based on their large proprietary database.
We organized a Big Dataset and used tools from Machine Learning - cross-validation, parameter tuning and model selection – to investigate the problem. The selected model resulted in a high-performance forecast.
Our research validated the proposed ideas through an accurate ML model - a first step for the company to further elaborate their digital product.