Question: How can I automate design optimization using AI and machine learning for improved product performance?

If you want to automate design optimization with AI and machine learning, Altair is a great option. This all-in-one software and cloud platform combines simulation, high-performance computing, data analytics and AI to accelerate innovation. Altair offers AI-augmented simulation and design, physics-based prediction and generative design, making it a good fit for optimizing product performance in the automotive, aerospace and heavy equipment industries.

Another contender is Leo, a generative AI engineering design copilot that converts text, sketches and CAD constraints into optimized 3D CAD models. It also offers design alternatives, technical documentation and collaboration tools to help engineers work more quickly and cut project costs and time. It's good for creating designs optimized for manufacturing and maintenance.

Finch is an AI-powered design optimization tool for architects. With graph technology, it offers instant performance feedback and lets you iterate rapidly to explore different design variations. Finch integrates with popular design tools like Revit, Rhino and Grasshopper so you can work more efficiently and productively.

If you want to streamline your data analytics workflow and tap into AI and machine learning, Altair RapidMiner is an end-to-end data analytics platform. It offers code-free to code-friendly interfaces and automates data preparation tasks so people with varying levels of expertise can create data and machine learning workflows. It's flexible enough to handle real-time data processing and visualization, and it's good for a variety of industries.