Artificial intelligence has been helping design buildings.
Soon, you might see more AI in construction sites helping build homes and other structures.
Mobile app development firm Appinventiv believes “the European market is expected to lead AI adoption in construction, driving growth in the global construction industry.”
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See how AI will revolutionize building construction by reducing costs, optimizing supply chain management, boosting safety, and more.
Practical applications of AI in construction
The AI construction firm Buildbite says the infrastructure industry has tremendous potential for tech adoption.
That company and Appinventiv shared the following ways artificial intelligence will impact the building industry:
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- Assess and reduce risks: AI can analyze historical data to identify potential risks. As a result, workers avoid costly mistakes and ensure smoother project execution.
- Optimizing project schedules: AI in construction can optimize project schedules by considering resource availability, weather conditions and other factors. Consequently, the project follows more realistic timelines and avoids delays.
- Supply chain optimization: AI can predict material requirements, optimize inventory levels, and spot potential disruptions. As a result, it improves cost management and savings.
- Safer construction sites: Sensors and cameras can monitor safety compliance and identify potential hazards. Consequently, the technology promotes worker safety while preventing accidents and project delays.
- Boost productivity: Building equipment equipment can automate repetitive tasks like pouring concrete, welding, bricklaying and demolition.
- Enhancing project design: Artificial intelligence can help architects, engineers and designers streamline the design process by optimizing layouts and recommending improvements. Learn more about AI’s real estate applications here.
- Efficient land surveys: AI-powered drones, Geospatial Information Systems (GSIS) and Geospatial AI (GeoAI) can track project progress.
Despite the benefits of AI in construction, Buildbite acknowledges the following risks:
- Data security and privacy concerns: Infrastructure companies should deploy top-notch cybersecurity measures to protect their AI tools and data from unauthorized access.
- Integrating existing systems: Applying AI in construction projects requires careful planning and execution.
- High initial cost: AI technologies require balancing upfront investments and long-term gains for successful adoption.
- Ethics and governance: Construction companies must navigate the developing legal landscape of AI technologies to ensure ethical and legal use. Learn about the Philippines’ AI regulations here.
Check out more digital trends at Inquirer Tech.
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