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2/21/24, 1:02 PM                                 Using digital twins for sustainable infrastructure
        efficiency, energy production. And delivery of clean energy by leveraging digital technologies, like
        infrastructure, digital twins, and using data centricity, AI, IoT and other models in the process.

        Rodrigo also highlighted the innovation of Bentley's platform in aggregating multiple formats for carbon
        footprint reporting, saving time and improving efficiency. He discussed the challenge of accurately
        tracking materials in digital models, with up to 75% of models lacking explicit information on materials.

        “You want to make sure that you're mapping the right materials, or products that you have there. So
        there are technologies that can support that. That's the excitement around AI and generative AI itself.”
        He also highlighted the potential of AI and generative AI to automate material assignment and carbon
        reporting, with the ability to group and map materials for more accurate analysis.

        “You can use large language models to make automated material assignments. In many cases, large
        language models can simply identify and interpret an acronym too, like concrete. It can also identify the
        type of concrete. You can facilitate the carbon assignment to the material assignment, and even group
        and map. It means that we can automate the grouping of materials, and then you can generate the
        carbon report based on data.”

































































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