Construction & Civil Engineering Magazine CCE Issue 211 | Page 15

________________________________________________________________________________________ Artificial intelligence
ongoing advancements in foundational AI , as well as increasing interest from industry bodies , these challenges are being actively addressed by industry .
Furthermore , as the technology matures , we can expect the development of more sophisticated AI algorithms capable of even deeper analysis , such as predicting when an asset may fail based on past and current condition data — representing a proactive approach to asset management .
Conclusion
The integration of Computer Vision AI and GIS is set to positively impact the construction and civil engineering industries , offering a more time efficient , accurate , and costeffective approach to auditing asset inventory . As companies seek competitive advantages in an increasingly digital world , those who adopt and adapt to these technologies early are likely to emerge as industry leaders .
AI technology does not merely represent a step forward ; it signifies a leap into a new era of construction and civil engineering - one defined by unparalleled precision , efficiency , and foresight regarding maintenance and inventory operations . ■
Michael Naber www . simerse . com
Michael Naber is CEO at Simerse . Simerse offers its customers infrastructure asset inventory and condition assessment through an innovative business model . The company enables utilities , telcos , and cities to accurately identify , geolocate , and monitor infrastructure at scale , relying on visual and LiDAR data , powered by proprietary Vision AI-based data analysis .
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