Industrial AI Integration through Applied Training and Use-Case Deployment

AMS offers Industrial AI Integration and Applied AI Training as a structured pathway to support manufacturing companies in adopting artificial intelligence technologies effectively and realistically.

This service is organized through specialized training courses, starting with an initial free introductory module. In this first stage, AMS provides an overview of the main AI methodologies and presents a portfolio of successful industrial use cases where AMS has applied advanced techniques such as:

• Machine Learning (ML)

• Symbolic Regression

• Bayesian Statistics

• AI-enhanced simulation workflows

• AI integration in UMAT material subroutines

• Physics-Informed Neural Networks (PINNs)

• Invertible Neural Networks (INNs)

• Hybrid modelling and Digital Twin solutions

• LLM-based agents in materials science and simulation environments

The objective is not only to explain AI concepts, but to demonstrate how these approaches can be transferred into practical engineering and manufacturing applications.

In the second stage, the company proposes a real industrial challenge or pilot case. AMS then performs a feasibility analysis, identifying:

• The most suitable AI methodologies for the problem

• The knowledge and data requirements

• The tools and digital infrastructure needed

• A step-by-step roadmap toward implementation

This collaborative process allows industrial partners to move from awareness and training to a real deployment of AI solutions, accelerating digital transformation and reducing the barriers to effective Industry 4.0 adoption.