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Artificial intelligence and data expertise

Leveraging AI and analyzing data to optimize industrial processes, logistics, and services.

At IMT Mines Albi, expertise in artificial intelligence and data is grounded in data science, predictive modeling, and decision support, leveraging machine learning, deep learning, multi-agent systems, and generative AI to address challenges in energy systems as well as industrial and societal issues. This expertise is grounded in recognized scientific expertise and is applied across our research and educational activities, our engineering and advanced master’s programs, as well as in our collaborations with businesses and public sector partners.

TRAINING

IMT Mines Albi offers an engineering program focused on artificial intelligence and data analysis to optimize industrial processes, logistics, and services.

General Engineer

"Data Engineering for Information Systems and Energy Systems" option

Student path

To address the complex digital and energy challenges associated with Big Data. Design and management of information systems and renewable energy production and consumption through the lens of data: acquisition, storage, and analysis using Artificial Intelligence.

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All students earn a general engineering degree. The specialization in artificial intelligence and data enriches and adds depth to their educational experience.

RESEARCH & INNOVATION

The three training and research centers at IMT Mines Albi possess recognized scientific expertise in the fields of artificial intelligence and data.

Center for Industrial Engineering

The Industrial Engineering Center leverages advanced expertise in predictive modeling, data science, and decision support to manage, optimize, and evaluate the performance of complex energy systems. His work draws on machine learning, deep learning, multi-agent systems, and generative AI to analyze, design, and improve industrial systems with a focus on overall performance, sustainability, and informed decision-making.

 

Learn more about the Industrial Engineering Center

Centre RAPSODEE UMR CNRS 5302

The RAPSODEE Center UMR CNRS 5302 develops innovative approaches in the fields of biomass and waste utilization, thermal storage, energy materials, and the decarbonization of industrial processes. His work also draws on data science and AI applied to energy systems to optimize processes, improve facility performance, and support the energy transition. At the heart of environmental challenges, this research combines scientific excellence, technological innovation, and industrial applications.

Learn more about the RAPSODEE Center

Clément Ader Institute, UMR CNRS 5312, Albi Campus

The Clément Ader Institute UMR CNRS 5312, Albi site (ICA-A), conducts cutting-edge research on materials, structures, and advanced manufacturing processes for the aerospace industry, while also leveraging data science to analyze, model, and optimize the behavior of materials and structures. His work focuses on the transportation sectors of the future, with a particular emphasis on aeronautics, aerospace, transportation, and energy.

 

Learn more about the Clément Ader Institute in Albi

Areas of application

  • Health
  • Energy
    systems
  • crisis management
    and security
  • Supply
    chain

PARTNERSHIPS

IMT Mines Albi and you: a diverse range of opportunities for collaboration. Whether you’re looking to assess your R&D needs, recruit our engineering students, participate in the corporate forum, train your teams on digital and artificial intelligence challenges, develop scientific partnerships (chairs, joint research laboratories, etc.), propose a thesis topic, or accelerate the resolution of technological bottlenecks—we’re here to help.

Take advantage of IMT Mines Albi’s expertise in artificial intelligence and data to grow your business. Let’s build lasting partnerships together!

Are you interested in establishing a partnership with IMT Mines Albi?

EXPERTS VOICES

Artificial intelligence and data

Managing Your Supply Chain with Data and AI

Today, supply chains generate large volumes of data thanks to the digitization of tools (ERP, IoT, cloud platforms), but this data often remains…
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