Altair AI（ RapidMiner ）

Performs predictive maintenance by analyzing aircraft sensor data, ensuring flight safety and improving operational efficiency.

Improves customer service and boosts customer satisfaction and sales performance by analyzing customer support data.

Analyzes production line data to improve production efficiency and product quality, while reducing equipment failures and downtime.

Uses RapidMiner for equipment monitoring and predictive maintenance, enhancing the reliability and performance of wind power generation and medical equipment.

Analyzes sales and inventory data to optimize inventory management and supply chain operations, reducing inventory costs.

Uses data analytics to optimize oil and gas extraction processes, and reduces equipment failures through predictive maintenance.

RapidMiner provides capabilities from data preparation and analysis through to building AI predictive models.

It offers the visual data preparation tool Turpo Prep, as well as Automated Machine Learning (AutoML) functionality.

It supports cloud and various types of databases, enabling multi-user collaboration within teams and sharing of analytics results.

RapidMiner is data-centric and supports multiple programming languages commonly used in data analytics. Teams can directly build, maintain, and run code, models, and workflows in a multi-language environment (e.g., Python, R, SQL, and SAS).

RapidMiner has long invested in organizations that develop with SAS, allowing them to continue maintaining and running existing systems without any third-party products.

RapidMiner uses real-time data to detect trends and anomalies within just a few seconds.

It provides rich and powerful dashboard capabilities to share visualized data and streaming results within the team.

Its data streaming and visualization solution is designed specifically for users who need to make fast, comprehensive decisions based on large volumes of rapidly changing telemetry, sensor, and transaction data.

*.accdb  *.arff *.csv *.dbf

*.dta *.hyper *.mdb*.qvx 

*.sas *.sav  *.tde *.xls/.*xlsx

*.xml*.xrff

In addition, RapidMiner can also read other types of data such as SQL database systems and cloud database services.

Altari RapidMiner includes a built-in visual and interactive data preparation tool, Turpo Prep.

Turpo Prep is intuitive and easy to use. It helps users quickly select the required data, transform data formats, and efficiently complete data preparation tasks.

RapidMiner includes more than 1,500 functional and machine learning operator blocks, which can be used simply by dragging and dropping them into the workspace.

With built-in AutoML capabilities, RapidMiner analyzes the input data and provides recommendations for model selection and prediction results. It also offers a visual simulation and prediction interface, and models can be deployed directly.

This delivers both transparency and automation, simplifying the process of building AI big data predictive models.

AutoML visual simulation and prediction interface

With the RapidMiner AI Hub module, teams can collaborate on data projects. Supported cloud services include AWS from Amazon and Azure from Microsoft.
 

AI Hub provides a Real-Time Scoring capability. Thanks to its low-latency characteristics, it can respond immediately to changing conditions, helping users quickly understand, analyze, and obtain prediction results.