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Why AI integration is critical for mega-projects: Lessons from the GCC
with various hardware devices and third-party systems to op mise integra on capabili es and
enhance user experience.
Big data analy cs
With the use of sensor data and drone-captured images among other sources, big data analy cs
can offer valuable insights into all aspects of a construc on site. By analysing this data in real-
me, construc on so ware can provide ac onable insights and empower project managers to
make informed decisions.
In the digital era, AI systems are regularly exposed to exponen al amounts of data, which is
beneficial in the long run. For instance, construc on sites are crucial sources of data and AI
systems can learn from this data to consistently improve their capabili es.
The majority of such data is generated through mobile devices, drone videos, security sensors,
and building informa on modelling (BIM) among others. With access to such expansive data,
customers and industry professionals can gain valuable insights into various processes.
Post-construc on maintenance
Building managers can leverage AI integrated inspec on management so ware, post-
construc on, to collect informa on about different structures through sensors, drones, wireless
technologies, advanced analy cs and AI-powered algorithms. This can help assess the integrity
and performance of buildings, bridges, roads and other elements in a built environment.
Thus, AI integrated safety inspec on so ware can detect poten al problems early on,
determine when preventa ve maintenance is required, and direct human behaviour to ensure
op mal safety.
In order to realise these benefits, it is per nent for businesses to overcome challenges such as
high ini al costs, vast data management, resistance to change and skill gaps among employees.
By proac vely tackling these challenges and embracing AI, companies can posi on themselves
for enduring success in the construc on landscape, se ng new benchmarks of excellence in the
industry.
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