Page 26 - BENTLEY SYSTEMS PR REPORT - MAY 2023
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to combine and use data from disparate sources and multiple disciplines into a holistic,
               dynamic representation of infrastructure projects and assets.


               In addition to offering a structured way that brings siloed data together, digital twins
               can unlock data from existing design files, essentially lighting up dark data.

               When digital twin capabilities persist across the infrastructure project life cycle, they
               create workflows that enable engineers to seamlessly conduct design reviews, structural
               analysis, and calculate carbon footprints.


               Digital twin workflows can help construction companies improve the accuracy of
               quantity take-offs, project scheduling, and more. Just like their value in bringing data
               together, infrastructure digital twins can connect processes between the different life
               cycle stages of a project and asset.


               As data layers are combined and processes are connected, their collective value is
               compounded exponentially. It is this value that provides the foundation for quickly and
               easily applying AI techniques and technologies to drive actionable insights and
               infrastructure better outcomes.


               Generative AI for infrastructure

               Certain AI techniques and technologies are not new to the infrastructure sector. For
               example, owner-operators have already started using computer vision AI techniques to
               quickly find, analyse, and detect spalling, corrosion, and other defects that compromise
               the integrity of bridges, dams, rail networks, and more.


               However, what is new and what presents significant value to infrastructure organisations
               across the project lifecycle is generative AI.


               In a sector challenged by resource constraints, delays, cost overruns, and evolving
               sustainability requirements, engineering and construction applications with generative
               AI capabilities have the potential to automate tasks, streamline workflows, improve
               project delivery, and ensure asset performance.


               Generative AI technologies could give engineers the ability to collaborate with AI agents
               to generate and optimise infrastructure design. It could compare designs to earlier ones
               and learn from an engineer’s choices. Generative AI could help engineers and
               construction managers use more sustainable building materials to reduce an asset’s
               carbon footprint or calculate an infrastructure project’s embodied carbon from start to
               finish.


               https://www.intelligentcio.com/me/2024/05/08/can-genai-enhance-the-middle-easts-
               construction-industry/
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