AI and data analytics platform that modernizes and automates data processes
Code-free and code-friendly data workflows
Supports real-time data processing and visualization
Facilitates collaboration among diverse analytics teams
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#Data & ResearchRapidMiner is an AI and data analytics platform designed to modernize data analytics teams and automate processes for teams new to data science. It facilitates building data and machine learning workflows with both code-free and code-friendly experiences, enabling diverse teams to generate and share insights collaboratively. The platform supports various data sources, including semi-structured data, and provides real-time data processing and visualization for informed decision-making.
- Accelerate AI Adoption: Provides solutions to drive AI initiatives across various industries efficiently.
- Advanced Manufacturing: Supports manufacturing processes with cutting-edge technology.
- AI-Powered Engineering: Integrates AI capabilities to enhance engineering workflows.
- Cloud & Hybrid Computing: Offers scalable computing solutions for diverse environments.
- Digital Twin: Utilizes digital twin technology for advanced simulation and analysis.
- Electrification: Focuses on electrification solutions for transformative energy applications.
- Exascale: Leverages exascale computing for unparalleled processing power.
- Generative AI: Implements generative AI for creative and innovative solutions.
- Sustainability Solutions: Ensures sustainable practices through advanced technological solutions.
- Data Preparation: Automates data cleaning and transformation for machine learning applications.
- Machine Learning Pipelines: Streamlines model creation, training, and deployment.
- Real-Time Data Processing: Analyzes real-time data for quick decision-making.
- Data Visualization: Creates powerful dashboards for data insights.
- SAS Language Support: Maintains existing SAS language programs and integrates with open-source tools.
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RapidMiner
AI and data analytics platform that modernizes and automates data processes
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