AutoML
Empower professionals and domain experts to build Machine Learning (ML) models with ease and limited knowledge about data science space.
PMML
Enable data scientists to bring their own algorithms and models and integrate the as part of the decision-making processes.
Rule Mining
Discover and extract business rules from a dataset. Create a explainable and transparent decision model from data rather then try to look into a black-box.
Machine Learning for Everyone!
Automated Machine Learning – AutoML
Even domain experts and operations teams can now train and integrate advanced machine learning (ML) models. It’s now easier than you think: doesn’t require machine learning expertise.
FlexRule Open enables you create pipeline, train, deploy and execute ML models specific to your business decisions requirements. These building and training Machine Learning models can perform Regression, Binary Classification and Multi Classification.
- Connect to different data sources including SQL and even custom databases and different files including Excel, XML, JSON, and text.
- Train explainable models for Regression and Classification with over 50 advanced algorithms.
- Operationalize the trained algorithm into the holistic decision model directly.
Integrate Your Own ML Models
Bring Your Own Algorithm: Predicting Model Markup Language
PMML or Predictive Model Markup Language is an open-source XML-based standard developed by the Data Mining Group (DMG) to represent predictive models. If I explain it further, you can write your algorithms in any language such as Python, R, or any other application, and then build the predictive model. After that, you can create its PMML version.
Why PMML is popular among many commercial and open-source platforms?
- Interoperability: It allows you to share and reuse your models across multiple applications. You do not need to fret about having to use a specific language or tool to create a model and then connect it with your applications.
- Available offline: Since it is a single XML file, there is no need for any web interface to connect the models. Instead, you can use the file offline.
Business Rules Mining: Discover the Business Rules from Data
Build Automated Continuous Improvement Process
Continuous improvements and decisioning require putting business rules at the forefront of decision-making processes to ensure quality control and compliance. Although data being important in decisioning, utilizing data-driven decisions in automation often neglects business rules risking the quality of decisions.
Now, imagine if you could derive business rules from your data, especially when you don’t know the business rules, and make them a part of this continuous improvement and decisioning process.
- Connect to the data, analyze, extract, and understand business rules from any operational databases and systems
- Build decision models like decision table and fact concept directly from the data
- Implement continuous improvement and decisioning processes by putting rule discovery into your continuous integration and delivery pipeline
Composite AI model for
Decision Intelligence
