RapidMiner

RapidMiner

Synthesize and Optimize Your Current Systems

RapidMiner

RapidMiner is a product of Altair

RapidMiner is a comprehensive data science platform that empowers users to build and deploy advanced analytics solutions. It provides a visual workflow designer, enabling both technical and non-technical users to easily create machine learning models.

RapidMiner supports the entire data science lifecycle, from data preparation to model deployment and monitoring.

RapidMiner

Main benefits

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  Visual Workflow Design

Simplifies the creation of complex analytics workflows through a drag-and-drop interface. Reduces the need for extensive coding, making data science accessible to a wider range of users.

  Comprehensive Data Science Lifecycle Support

Covers all stages of the data science process, including data preparation, model building, and deployment. Provides a unified platform for end-to-end analytics.

  Wide Range of Algorithms and Techniques

Offers a vast library of machine learning algorithms and statistical techniques. Enables users to build diverse and sophisticated models.

  Flexible Deployment Options

Supports deployment of models on-premises, in the cloud, or as embedded solutions. Provides scalability and adaptability to various deployment needs.

  Automation and Efficiency

Automates repetitive data science tasks. Increases the efficiency of the data science workflow.

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Insights

CASE STUDY

Structural optimization of a bridge beam section subjected to instability of equilibrium

CAE and numeric simulation guides engineers to an optimal design for structural safety at the lowest cost

This technical article describes how engineers tackled a design optimization challenge to ensure the structural integrity of a section of the beam of a typical steel bridge whose web of main beams was subject to instability.

civil-engineering modefrontier optimization

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CASE STUDY

Flexible factory design and reconfiguration using digital simulation models

The text discusses the importance of digital simulation models in modern factory design and reconfiguration, particularly in response to shorter product lifecycles and increased customization demands. Traditional design methods often lead to inefficiencies and high costs, making digital simulation essential for creating flexible and adaptable production systems. The article highlights a case study involving a furniture assembly factory, where a manufacturer needed to efficiently handle a variety of custom kitchen cabinet orders. The system integrator was tasked with designing a robotic assembly line that could maintain production efficiency despite the high variety of products.

industry4 SIMUL8

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CASE STUDY

Using multidisciplinary optimization for engine suspension stiffness

Optimizing idling and ride comfort

In this technical article, Fiat Chrysler Automobiles explain how they created a multibody optimization project to identify the optimal values for the powertrain suspension stiffness for a three-cylinder engine in order to minimize the vibrations at idle condition and ensuring greater ride comfort to the passengers.

automotive optimization modefrontier

CASE STUDY

Optimization techniques applied to centrifugal compressor design

Using RSM to save design time and speed time-to-market

Optimization tools, and specifically response surface methods (RSM), can be adapted very well in the design process to provide information around the design of a compressor stage. This article will cover two of the possible optimization uses: the search of optimum performance and data generation.

modefrontier optimization mechanics

CASE STUDY

Lucid Motors boosts electric vehicle performance with modeFRONTIER

Performing multi-objective inverter cooling system optimization with modeFRONTIER

This brief article summarises how California-based electric car company, Lucid Motors, used the CAE application, ModeFRONTIER for performing Computational Fluid Dynamics (CFD)

automotive optimization modefrontier