RapidMiner
Synthesize and Optimize Your Current Systems
RapidMiner is a product of Altair
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.
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.
Covers all stages of the data science process, including data preparation, model building, and deployment. Provides a unified platform for end-to-end analytics.
Offers a vast library of machine learning algorithms and statistical techniques. Enables users to build diverse and sophisticated models.
Supports deployment of models on-premises, in the cloud, or as embedded solutions. Provides scalability and adaptability to various deployment needs.
Automates repetitive data science tasks. Increases the efficiency of the data science workflow.
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CASE STUDY
A developer of innovative equipment designed a system to simplify the towing and laying down of marine pipelines in shallow water fields.
energy modefrontier optimization oil-gas recurdyn
CASE STUDY
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
CASE STUDY
This study was part of the Virtual Optimization PAsta production process (OPAV) research project,
modefrontier ansys ls-dyna magma optimization food-beverage consumer-goods
CASE STUDY
The aim of this study was to find the best quality glass-clamping system, through parametric model optimization, for a new pyrolytic self-cleaning oven by Indesit.
modefrontier optimization consumer-goods appliances
CASE STUDY
In this article, we show that the main turbine characteristics, such as efficiency and exit flow angle, can be sufficiently improved using parametric optimization.
modefrontier energy optimization