Rosella Software - Data Mining / Machine Learning / Predictive Modeling

Rosella Machine Intelligence & Data Mining
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Computer Vision & Edge Computing

Computer vision in edge computing devices is a reality. CMSR Machine Learning Studio enables edge computing devices computer vision. It can generate high performance program codes that are very efficient and fast with small foot print. For more on computer vision on edge computing devices, please read;

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;

Rule Engine with Machine Learning

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;

Big Data Analytics

CMSR Data Miner / Machine Learning / Rule Engine studio provides reporting tools and data visualizations, supporting advanced techniques such as regession with smoothing, seasonal adjustment, and hotspot visualization.

For more, please read Big Data Analytics.

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.