Rule Engine with Machine Learning

Data is Knowledge! In this age of Machine Learning, good knowledge can be extracted from good data by automatic means using Machine Learning Algorithms. Good data can result in good predictive models that can be used as important risk management tools.

Rule-based Model Evaluation with Event Processing (RME-EP) is a very powerful expert system shell rule engine, incorporating predictive modeling machine learning algorithms, such as neural network, self organizing maps, decision tree, regression, time series, statistical functions, and so on. It combines Rule Engine with Machine Learning. For more;

Share Your Predictive Models!

Share your predictive/deep-learning models with others using MyDataSay Android App and Rosella BI Server.

Android Application: MyDataSay

MyDataSay is an Android Application for deploying predictive models. Predictive models developed with CMSR Data Miner / Machine Learning Studio can be deployed on Android devices. Download evaluation copies from the following link;

Risk Management and Deep Learning

(Good news! You can develop Decision Support Expert Systems using Deep Learning techniques very easily. What you need is relevant data for Deep Learning.)

Risk management is an important area for financial industry. To know how Predictive Modeling and Deep Learning can be used for risk management, recommend to read the following pages;

Big Performance Enterprise Solutions

Rosella predictive modeling provides complete enterprise solutions from model development to model deployment over web and Android devices. High performance web server and powerful neural network and RME-EP combination can be essential for enterprise risk management. For more information on risk management and predictive modeling, please visit the following links;

Customer Churn Predictive Modeling

Customer churn is a big problem in many industries. Predictive modeling can help to identify customers at risk of churn. For more, read the following link;

Database Marketing

Customer database provides rich customer information. Predictive analytics can identify customer tendencies which can be used in developing marketing plans;

Marketing Survey Research

Marketing survey research is essential part of marketing. Predictive analytics can automatically identify important factors from survey data and build predictive models. For more, please read marketing survey analysis.