Altair’s data analytics solution covers a comprehensive DSML platform RapidMiner for the entire data processing workflow and also a set of specialized tools for individual activities, such as Monarch, Panopticon, and Knowledge Studio. In addition, Altair implements machine learning and artificial intelligence technologies in its classic simulation tools HyperWorks, HyperStudy, or the brand-new ones DesignAI, PhysicsAI.
One of the main Altair focuses is on ordinary business users. Thanks to advanced technologies Altair brings DA/AI functions previously usable only by data specialists. It believes that in the near future, the ability to use, process, and evaluate business data will be an essential competence for many professions. So, Altair brings so-called Frictionless AI.
Watch this video to learn more about Data Analytics solutions:
- Data collection and transformation. Altair offers the fastest and easiest way to extract data from difficult, semi-structured data such as PDFs, spreadsheets, and text files, as well as big data and other structured data sources, and further prepare it for advanced analysis – Altair RapidMiner and Monarch.
- Data automation. Automate data collection, data cleansing, and data transformation. Use trusted and accurate data to make the right decisions. – Altair Monarch (data preparation), Altair Monarch Server (data automation), Altair Knowledge Hub (collaboration)
- Generate insight. Leverage advanced machine learning and AI. Understand what is impacting your business – Altair Knowledge Studio
- Share insight. Visualize real-time operational performance. Spot anomalies, trends, and clusters in seconds – Altair Panopticon
Learn about the advantages and broad application
DSML platform: RapidMiner
Altair RapidMiner is the DSML (Data Science Machine Learning) platform with all tools you’ll need to support all the users in your organization who will be involved in analyzing data, predicting trends, and deploying models in the applications with the greatest benefit.
The use of DSML models is wide in industrial practice. These include technical applications such as preventive maintenance, physical test evaluation, quality management, warranty, and post-warranty service cost management, as well as “back-office” applications such as customer behavior prediction, supply chain efficiency management, risk management, or marketing.
Data preparation with Altair Monarch
Altair Monarch is an “enterprise” data preparation solution for data analysis. It includes data collection (importing or connecting to data sources), treating errors and inconsistencies in the data (missing data, measurement errors, noise, removing duplications, etc.), harmonizing and combining data from different sources, and transforming the data into further processable structures.
This data is then ready for analysis using various BI and ML tools. And without the need for programming knowledge.
Download: Learn the principles and basics of Artificial Intelligence (AI) and Machine Learning (ML) technologies thanks to an eBook from Altair University or in brief form in an eGuide, how machine learning is applied in Engineering, and in Data Analytics brochure read what Altair offers.
How to use the potential of machine learning in practice? Read articles from Advanced Engineering Data Analytics and Machine Learning in Practice and Altair RapidMiner: Analytics and Prediction for Everyone.
Data Analytics Products:
RapidMiner is a DSML (Data Science Machine Learning) platform that enables users, without the need for deep technical knowledge of data analytics, to connect to a variety of enterprise data sources, transform data, automate data processing, develop machine learning-based models, and deploy them into production. And then apply the models to a wide variety of data analytics and everyday use cases.
RapidMiner focuses on transparency and the ability to make data science accessible to mainstream business users. It prioritizes the visual modeling of data processes to make them understandable, and trustworthy, and the resulting models deployable into use.
Many activities are automated; RapidMiner, for example, efficiently helps you select and verify the most suitable model for the task at hand without any programming knowledge.
For data specialists, on the other hand, there is an environment for including manual code or detailed customizations.
Featured resources: RapidMiner at altair.com | RapidMiner.com | Whitepaper: A Buer’s Guide to Enterprise Data Science Platforms | Whitepaper: Model Explainability Explained: A Human’s Guide to Building Trust in Data Science | RapidMiner Academy – Learning Content Library
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Monarch is desktop-based, self-service data preparation, offering the easiest way to access, clean, prepare and blend any data – including PDFs and semi-structured text files.
Monarch connects to multiple data sources including structured and unstructured data, cloud-based data, and big data. Connecting to data, cleansing, and manipulating data requires no coding.
Monarch can quickly convert disparate data formats into rows and columns for use in data analytics. Over 80 pre-built data preparation functions mean data preparation tasks can be completed quickly and error-free. More time is spent on generating value from data as opposed to making data usable to begin with.
Featured resources: Data Preparation | Guide: Guide to Self-Service Data Preparation | Technical Document: Altair Monarch – Enterprise-Class Data Transformation | Webinar: Data Science for Engineers Series 2 – Data Collection, Preparation, and Understanding
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Altair Knowledge Studio
Solve business problems and predict outcomes with precision, efficiency, and agility.
Knowledge Studio is a market-leading easy-to-use machine learning and predictive analytics solution that rapidly visualizes data as it quickly generates explainable results – without requiring a single line of code.
A recognized analytics leader, Knowledge Studio brings transparency and automation to machine learning with features such as AutoML and Explainable AI without restricting how models are configured and tuned, giving you control over model building.
Featured resources: Machine Learning | Technical Document: Machine Learning in Engineering | Webinar: Data Science for Engineers Series 2 – Predictive Modeling and Evaluation| Webinar: Increasing the Value of Your Data: Getting Started with Machine Learning | eBook: Make Machine Learning Work for You
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Get fast, visual analysis and monitoring of time-critical data, no coding required.
Panopticon lets business users, analysts, and engineers — the people closest to the action — build, modify, and deploy sophisticated data visualization and stream processing applications with a drag-and-drop interface. They can connect to any data source, including big data sources, SQL and NoSQL databases, and message queues; develop complex event processing programs; and design visual user interfaces that give them the perspectives they need to make insightful, fully informed decisions based on massive amounts of data.