Polymatica, the world famous developer of zero-coding analytical systems, has presented the first commercial version of the Polymatica ML module, which enables business users to create machine learning models and control their life cycle.
We are pleased to present the first version of Polymatica ML, a data mining module that uses machine learning methods. It allows users without programming skills to go through the entire cycle of creating and applying models. The cycle consists of the following stages:
For effective industrial operation, there is a built-in mechanism for monitoring the model, since over time its accuracy decreases and an adjustment is required.
“When we started developing the module, we chose two goals: democratizing machine learning for business users and creating an easy-to-use lifecycle management platform to keep all your models in the state of high efficiency,” comments Konstantin Malashenko, Product Director for Polymatica ML at Polymatica. “In a short time, we were able to assemble a first-class team with experience in international companies and create a product that is a constructor that allows us to assemble machine learning models from ready-made components, which significantly reduces the time from formulating a hypothesis to testing it. In doing so, we went beyond just creating models, targeting the ModelOps niche or enterprise-level machine learning model management. This allows you to store all models in a single repository, systematically monitor the quality of their work and reuse existing algorithms in new models. In the first version, this functionality is already available, and we plan to actively develop it in the near future”.
The practical implementation of Polymatica ML is already gaining momentum: the module is involved in several pilot projects in different industries: predicting the response to advertising campaigns for retail, predicting breakdowns of heat supply pipes for the power industry, monitoring employee health in hazardous industries.