with Decentralized Machine Learning
prenode’s solution enables you to enrich your products with powerful AI-based features and services without sacrificing data privacy. Incorporating AI in your existing offerings can increase customer satisfaction, generate additional revenue and strengthen your market position.
mlx leverages the sensor data of all customers of the machine manufacturer using Federated Machine Learning. The manufacturer can use a well performing predictive model for machinery failure despite a small number of observations per customer.
Each machine is slightly different, and each customer operates in an individual environment. The predictive models are trained on all available sensor data across customers but are individualized for every customer to ensure the best possible performance.
Model performance can be monitored, and models can be updated regularly.
Participating restaurants can forecast sales better and as a result optimize supply and personnel planning. This sales forecast model for daily revenues helped decrease the individual model mean average percentage error (MAPE) by up to 34.2%.
mlx ensures that individual customer data is not shared with any other customer. In addition, using different security mechanisms, mlx also guarantees that the developed predictive model does not reveal the data it was trained on.
Restaurants without past sales data can use pre-trained sales forecast models.
Healthcare system provider can offer its customers a new AI-based services that allow elderly to stay at home longer and caretakers are reliably notified if needed.
Patient data is not transferred or shared with anyone.
The healthcare provider can use pre-trained machine learning models for new patients and thus use the system from day one.