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Download Use Cases

100 AI-Powered Engineering Use Cases

From design and development to testing and maintenance, AI is ushering in unprecedented efficiencies and capabilities. The goal of this ebook is to illuminate the practical applications of AI in engineering and demonstrate how you can leverage it to tackle complex challenges, boost efficiency, and set new standards for innovation.

Whether you’re an engineer, data scientist, or team leader, this guide is accessible, actionable, and designed for users of any skill level.

 

What You'll Get

 

  • 100 real-world use cases showing AI applied to actual products and systems — not just theory

  • Solutions tailored for industries like automotive, aerospace, defense, electronics, energy, manufacturing, materials, heavy engineering, and health and life sciences

  • Insights into how leading companies use AI to reduce design errors, improve product performance, and innovate faster

  • Practical ideas to start or scale your own AI-powered engineering initiatives

See AI in Action Across the Product Lifecycle

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Conceptualization and Design:

In the early stages of product development, leveraging AI enables teams to analyze and interpret existing data to design initial concepts.

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Simulation and Prototyping:

As designs progress towards prototyping, AI tools, equipped with fast physics predictions, analyze potential outcomes of design choices, predicting performance under various conditions.

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Testing and Optimization:

During the testing phase, AI facilitates a deeper understanding of test results, identifying why certain designs may not meet expectations.

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Manufacturing and Maintenance:

In the final stages, AI assists in refining manufacturing processes and predicting maintenance needs.

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End-of-Life Management:

AI continues to play a vital role as products approach their end of life. It helps in predicting the optimal timing for product retirement and facilitates the efficient recycling or repurposing of materials.

Meet Your AI Engineering Partner

Altair stands at the forefront of technology, seamlessly integrating simulation, artificial intelligence (AI), high-performance computing (HPC), and data analytics into a comprehensive open-architecture framework.

  • Descriptive, Predictive, Causal, and Prescriptive Analysis tools.
  • No-code/low-code solutions democratizing advanced technology.