Machine Learning (ML)
It’s all about connecting the dots. The more you connect data, the more you learn what’s best for your business. We enable businesses to generate insights from different data points and disparate data. It’s efficient and easy to use, for business analysts and data scientists alike, enabling data science modeling at all skill levels without having to code. After all, data science and machine learning don’t have to be complex to be powerful.
Comprehensive Predictive Analytics
Easily investigate data using a wide variety of traditional and modern statistical models, from decision trees to regression models to neural networks.
Adapt to Your Business
Apply business treatments to models and move to prescriptive analytics. Strategically solve for complex problems without needing a PhD in statistics.
Extend ML into Your Existing Infrastructure
Easy code generation means you can quickly build machine learning models and scale them across your enterprise.
Combine Programming Languages
Write data-centric applications using the best programming languages for the job, mixing syntax from different languages inside a single program. Our code and no-code tools empower you to create, maintain and run models and programs using Python, R, SQL, and SAS languages. Leverage a single application that mixes all these languages into a single executable program or workflow with seamless transferring of data between SAS7BDAT, Pandas, and R Data Frames.
Organizations that have invested many man-years in developing IP using SAS language use our tools to continue to maintain and run their existing SAS language programs without the need for any other third-party products.
Begin Your Machine Learning Journey Here
Designed for people with different skill sets, our desktop-based predictive analytics and machine learning solutions will help you quickly generate actionable insight from your data. Begin your analytics journey by visualizing your data to get a quick understanding of its most important features. Quickly build out predictive and prescriptive models that can easily explain and quantify insight found in your data. Apply and share that insight by deploying models natively or exporting them to common BI tools. Data scientists rely on Altair to efficiently build powerful and insightful predictive models to make better business decisions.
Take Machine Learning to the Next Level
Our server-based solution moves all the data-mining computations from the desktop to the server, leveraging more powerful CPU and memory resources as well as larger and faster storage. For users, this means even more efficient data analytics without compromising on the depth of analytics. For IT, this means more control over deployment, security, and user management as permissions for application and file access are controlled by the server’s operating system.
Big Data and ML
Our industry-preferred platform can manage and process vast amounts of data, including its ability to work in-memory with extremely large datasets which is why Altair is included in Big Data architectures. We provide a data science productivity tool that integrates with distributed data structures such as Hadoop HDFS, Amazon S3 and other large-scale distributed file systems. Analytics can easily be done on datasets that have thousands of columns and millions of rows.
