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    AI Integrations with the MIDAS CIVIL NX API

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    AI Summary
    • In this webinar, attendees will learn how artificial intelligence (AI) can be combined with the MIDAS CIVIL NX API to build smarter, more automated engineering workflows. The session explains how AI agents can interact with CIVIL NX to automate modelling tasks, perform analyses, and support data‑driven decision making.

    • It also introduces how large language models (LLMs) can be used to create intelligent tools that enhance productivity and unlock new possibilities in structural engineering.  

    Description

    Artificial intelligence is rapidly transforming the way engineers work. In this webinar, discover how AI can be integrated with the MIDAS CIVIL NX API to create smarter, automated engineering workflows.

    Join Kamil Korus as he introduces the concept of AI agents and demonstrates how they can interact directly with CIVIL NX to automate modelling tasks, run analyses, and support data-driven engineering decisions. This session will also explore how large language models (LLMs) can be used to build intelligent engineering tools that enhance productivity and unlock new possibilities in structural engineering.

     

    Key Points

    Understand how AI agents can interact with MIDAS CIVIL NX

    Learn how the MIDAS CIVIL NX API enables automation and AI integration

    Discover practical ways to reduce repetitive engineering tasks

    Explore how LLMs can be used to build intelligent engineering assistants

    Speaker

    Kamil Korus Director Infralligence
    Kamil Korus is a civil engineer, researcher, and entrepreneur focused on the digital transformation of infrastructure engineering. He is the founder of Infralligence, where he develops AI-driven tools to improve engineering workflows and knowledge management in civil engineering firms. His research focuses on digital twins of bridges, combining structural engineering with advanced computational methods. Kamil works at the intersection of infrastructure engineering, artificial intelligence, and automation to help engineering organizations make better use of data and technology. He is also active in industry discussions on innovation in civil and infrastructure engineering.
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