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 分析和 AI to gain competitive advantages and drive next-level business results.
以便更好地理解您的流程, 客户, 和产品, 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. 与一个没有代码, 云计算接口, we deliver the powerful capabilities organizations need to harness the full power of data 分析和 AI throughout the complete data pipeline.
Altair 数据分析 enables organizations to operationalize data 分析和 AI with secure, 治理, 和可伸缩的策略.
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, 和SAS语言.
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, 半结构化数据,如pdf, 电子表格和文本文件, 以及大数据 和其他结构化资源. 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 和人工智能 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, 我们简化模型 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, 让您控制模型构建. With our support for popular, open-source languages 和引擎, you can integrate new models built using Altair into your existing analytics infrastructure.
发现异常, trends and outliers in seconds with real-time data, and share results across the organization using rich, 强大的仪表盘. Our stream processing and data visualization solutions are built for people who need to make fast, 充分了解 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, 测试, 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 和人工智能-driven workflows, and achieve greater product innovation through collaboration and design convergence.