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
Modern propeller requirements involve many different characteristics, not limiting only to maximum efficiency, but considering also propeller cavitating behavior and, more and more, its side effects, in terms of radiated noise and pressure pulses.
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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
ECM Technologies has significantly streamlined the design, installation, and commissioning of its large-scale heat treatment systems for the automotive industry by using digital twin technology and Rockwell Automation’s Emulate3D software. Faced with tight timelines and software compatibility challenges during a major project in Mexico, ECM used virtual models to simulate and test their systems in parallel with production. This approach reduced commissioning time by 50%.
digital-manufacturing emulate3d industry4 rockwell
CASE STUDY
Material models used in structural finite element analysis (FEA) are often one of the key aspects that engineers need to describe very accurately.
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CASE STUDY
In this technical case study, EnginSoft assists Casappa to further refine an already-optimized standard series pump for an electrical motor and generator
mechanics optimization modefrontier