Data is unlike any other asset your organization owns. It never wears out, it never drains, and it can be used repeatedly. But the value in data is not in having it, it’s in how you use it. Altair enables data-driven enterprises by providing teams the power to use data analytics and AI to gain competitive advantages and drive next-level business results.Przeglądaj produkty
To better understand your processes, customers, and products, your team must collaboratively generate and share data-driven insights across the organization. Our solutions are designed for many different skill sets: from data scientists and engineers to MLOps specialists to business analysts to executives. With a no-code, cloud-ready interface, we deliver the powerful capabilities organizations need to harness the full power of data analytics and AI throughout the complete data pipeline.
Altair Data Analytics enables organizations to operationalize data analytics and AI with secure, governed, and scalable strategies.
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.
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.
An industry leader with more than 30 years of experience in data discovery and transformation, Altair offers the fastest and easiest way to extract data from difficult, semi-structured data like PDFs, spreadsheets and text files, as well as from Big Data and other structured sources. Whether data is on premises or in the cloud, Altair can automate preparation tasks and transform your data into accurate and clean datasets in seconds – rather than hours or days – freeing you up to spend time on value-add activities, not on mundane, repetitive and error-prone tasks.
Altair’s machine learning and AI solutions quickly get to the granular, low-latency data that contain the insights you are trying to uncover. Delivering transparency and automation with features such as AutoML and Explainable AI, we streamline model building so more time can be spent analyzing and results can be trusted. Our flexible no-code approach doesn’t restrict how models are configured and tuned, giving you control over model building. With our support for popular, open-source languages and engines, you can integrate new models built using Altair into your existing analytics infrastructure.
Spot anomalies, trends and outliers in seconds with real-time data, and share results across the organization using rich, powerful dashboards. Our stream processing and data visualization solutions are built for people who need to make fast, fully informed decisions based on massive amounts of fast-changing telemetry, sensor and trading data.
Advancements in the fields of AI and machine learning (ML), combined with the increased availability of robust simulation, testing, and field data sets has made engineering data science a critical component of the modern product development lifecycle. Computer-aided engineering (CAE) augmented by AI is offering manufacturers the ability to discover ML-guided insights, explore new solutions to complex design problems through physics and AI-driven workflows, and achieve greater product innovation through collaboration and design convergence.