The guided path to faster, better data insights
Rulex’s AutoML streamlines and accelerates data analytics with a user-friendly, guided workflow.
By automating typically labor-intensive tasks like data preparation, pre-processing, and feature selection, this tool empowers both seasoned data scientists and citizen developers to seamlessly experiment with multiple machine learning models.
Advanced customization features and tasks are integrated in a highly eXplainable flow, allowing users to analyze results throughout the process for quick modifications and informed decision-making.
AUTOML
APPLICATION AREAS
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Why Rulex’s AutoML is different
Quick set-up
Rulex’s AutoML can be configured to address classification and regression problems in the blink of an eye. By importing data for analysis and specifying the desired target outcome, the tool autonomously orchestrates the entire workflow, taking care of the complexity – preparing and pre-processing data, selecting the most suitable algorithm for the given input, generating a model, and applying it to new datasets.
This streamlined process grants expert and citizen data scientists the opportunity to delve even deeper into result analysis, maximizing the value extracted from data.
Transparent results
In contrast to other automated solutions, Rulex’s AutoML stands out for the exceptional eXplainability inherent in Rulex’s ecosystem. Every task and its outcomes can be visualized at each step of the flow, keeping you in control of the process, and facilitating the identification of critical points where adjustments might be necessary.
Clear outcomes also promote collaboration between data scientists and business experts, as well as ensuring regulatory compliance within specific sectors, such as financial services.
Flexible experimentation
Our AutoML’s swift deployment phase allows users to promptly observe predictions and easily evaluate the performance of different machine learning models.
For those who want to deep dive, there are over 100 customizable variables available for optimizing the process, alongside a vast selection of algorithms specifically tailored to various business goals. These include the Logistic Model, Decision Tree, Random Forest, Support Vector Machine, Neural Networks, and Rulex’s powerful eXplainable AI algorithm, the Logic Learning Machine (LLM), along with SuperLLM.
USE CASES
Areas of application
FINANCIAL SERVICES
- Fraud detection
- Credit scoring
- Early warning
SUPPLY CHAIN
- Inventory planning
- Route optimization
- Demand forecasting
MARKETING
- Churn prediction
- Product cross-selling
- Multi-channel sales and marketing analytics
ENERGY
- Predictive maintenance
- Energy production forecasting
Free AutoML resources to dive into
Accelerate data analytics with Rulex Platform
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