Artificial Intelligence
How to plan and prepare for an AI project
In this fifth article in G&T’s series on Artificial Intelligence (AI) in construction, we consider how to plan and prepare for AI-based technologies. The article outlines the phases a typical AI project might follow, with a particular focus on what steps need to be taken prior to the deployment of AI solutions (addressing issues such as data discontinuity, inconsistency and inaccuracy). Finally, we look at what one London-based tech start-up is doing to de-risk construction programme schedules using Deep Learning AI models.
By Michael Urie
AI in Construction: Overcoming the Barriers to Adoption
Following OpenAI’s release of its much-hyped chatbot – ChatGPT – in November 2022, many have flocked to experiment with the blockbuster tool, trying to gauge whether a full AI takeover is imminent.
By Michael Urie
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AI in Construction: Goals, Capabilities and Applications
AI in Construction: Goals, Capabilities and Applications
AI in construction has the potential to add value across the entire project lifecycle and construction ecosystem, from the early stages of project design, tendering, financing, to procurement and construction. It even has a role to play in the operational and asset management side.
By Michael Urie
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AI in Construction: How is the data collected?
AI in Construction: How is the data collected?
AI technology has the potential to alter business models, reduce errors and risk and make buildings more operationally efficient. It already permeates pockets of the construction sector with the necessary data collected by drone surveys, nano robots or even more traditional means.
By Michael Urie
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Artificial Intelligence: The Grand Challenge in Construction
Artificial Intelligence: The Grand Challenge in Construction
The Government's recent policy paper "Industrial Strategy - Building a Britain fit for the future" has earmarked Artificial Intelligence and data as one of four 'industries of the future' - one that can improve lives and boost productivity.
By Michael Urie
