Data Analytics and Artificial Intelligence
Why Use Data Analytics?
Technology and innovations in product development have grown exponentially over the last ten years. Along with that growth, has come an explosion of product related data. Product decisions are made based on having good data, but at times making sense of that data can be very challenging.
Altair has created a robust solution for this challenge including tools for data preparation, data wrangling, transformation, automation and collaboration. The goal is to arm innovators with the best data, so they can continue focusing on changing the world.
Data Preparation
Connect your data sources together to create a single source of truth depository using Altair Monarch®. Pull data from typically unstructured formats like PDFs and text files and organize it into rows and columns.
Automate time-intensive tasks like data extraction and organization with preset times and formats.
Design Exploration
Use automated processes to combine predictive analytics, mathematical methods and data mining.
Altair HyperStudy™allows users to perform coupled analyses including structural, electromagnetics, CFD and MBD and use the resulting datasets to gain a better understanding of their designs.
Digital Twin
Get valuable data into the in-service life of your product, when when to perform predictive maintenance and how to increase your products remaining useful life (RUL). Using Machine Learning, Systems Simulation and Data Analytics gives all stakeholders a bigger picture in order to make the best business decisions.
Machine Learning and AI
Using Altair Knowledge Studio® users can quickly understand product data and translate it to gain actionable insights without needing coding experience.
Users can also manipulate data to create easy to understand, yet very powerful data visualizations using Altair Panopticon™.