There is a significant growth in AI driven solutions and services construction value chain. Neural networks, machine and deep learning along with natural learning programming have been the major technological deployments in this sector. AI has made its way to applications around building information management, project management, schedule management, equipment management, risk management and supply chain management. According to TechInsight360, Artificial Intelligence (AI) spend in construction industry has increased at over 52% during 2018 to reach US$ 870.0 million. Over the forecast period (2019-2025), spend on AI in construction industry is expected to record a CAGR of 27.6%.
Unlike other sectors such as financial services and retail, AI spend in construction industry is primarily concentrated in developed economies. In emerging markets, leading players have started leveraging AI primarily for sales and marketing operations.
Autodesk, an American Software multinational has developed Autodesk Revit, a BIM software for architects and engineers. In collaboration with BuildingSP’s Gen MEP which focuses on creating 3D models, the company is enhancing computational synthesis. GenMEP uses machine learning to explore the possible permutations and efficiently come up with alternative designs under different constraints. In another partnership with Swinerton, Autodesk is minimizing on-site construction hazards by using Project IQ to oversee subcontractor performance. Bentley Systems, a US software development giant, has expanded its capabilities in BIM by having Synchro software onboard with them. Synchro Software is a London based 4D Construction modelling specialist which connects disconnected planning and scheduling by deploying BIM over the entire project lifecycle.
Fluor Corporation, in association with IBM, is leveraging AI to protect their client’s capital investments. The company unveiled AI driven systems to predict critical project outcomes, continuously track the engineering status, procurement, and construction of projects.
In Israel, PointGrab has launched a software called CogniPoint which uses AI to make facility management more cost efficient through image sensing hardware and cloud management. The solution can ascertain the number of occupants in a room and their positions through computer vision which can transmit this data to the CogniPoint Management System on a real time basis. The system then optimizes the use of workstations and rooms by managing its lightning, heating and air conditioning systems.
The UK based firm, Aurora, has been producing biometric solutions for tracking time and attendance. What is typical about a construction site biometric reading is that the user’s hands are typically damaged and dirty due to the nature of their work. Their new AI driven Clockface+ can eliminate “buddy punching” through full biometric verification through a facial recognition technology.
In the APAC region, Japan faces a unique aging population problem, especially in the construction sector where automation has not progressed significantly, and labour still plays a dominant role. Shimizu Corporation has identified the issue and is developing robots to connect beams, carry supplies (Robo Carrier) and install ceiling panels (Robo Buddy). Shimizu has also come up with an AI driven Shield Excavation Planning tool. It helps to determine the numerical parameters of an excavation plan through a preliminary simulation which guides the shield machine through the planned route. As it repeats the simulations, it learns on its own and comes up with the most optimal parameters to be used in the excavation plan.
Indian builders such as Kolte Patil developers and Purvankara Developers have collaborated with Racetrack.AI, a Bangalore based AI start up, to increase their marketing efficiency. The partnership has also enhanced their conversion rate from 2% to 7 % by reducing customer wait time by half.
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