{"id":139867,"date":"2024-06-03T13:44:39","date_gmt":"2024-06-03T12:44:39","guid":{"rendered":"https:\/\/www.pbctoday.co.uk\/news\/?p=139867"},"modified":"2024-06-03T13:46:37","modified_gmt":"2024-06-03T12:46:37","slug":"ai-in-aeco-bluebeam","status":"publish","type":"post","link":"https:\/\/www.pbctoday.co.uk\/news\/digital-construction-news\/ai-in-aeco-bluebeam\/139867\/","title":{"rendered":"Navigating AI in AECO: From digital twins to workforce upskilling"},"content":{"rendered":"

From digital twins to robust data management, understanding AI\u2019s role is crucial for staying ahead. Here, Bluebeam<\/a> explores the strategies for successfully navigating AI in AECO<\/h2>\n

Artificial intelligence has the potential to revolutionise every aspect of the architecture, engineering, construction and operations industry \u2013 from initial designs to management and maintenance.<\/p>\n

But despite headlines blaring about the latest advancements, it\u2019s still early days for AI\u2019s deployment.<\/p>\n

Navigating this transformative technology can be challenging, requiring a shift in mindset, upskilling of the workforce, robust data management strategies \u2013 and caution.<\/p>\n

How can firms navigate the coming AI revolution in construction<\/a> and take advantage of the opportunities it presents?<\/p>\n

It all starts with the right knowledge.<\/p>\n

Here are five things we think you should know about AI:<\/p>\n

1. There are different branches of AI<\/h3>\n

AI is a computer system that\u2019s built to learn. Humans feed the technology information and the AI will analyse, solve problems or make decisions based on what it knows.<\/p>\n

But there isn\u2019t only one type of AI.<\/p>\n

Branches include machine learning, natural language processing, generative AI, predictive analytics and AI robotics. All of which have the potential to impact the construction industry in different ways.<\/p>\n

For example, with machine learning, data and algorithms, predictions about what might happen in the future \u2013 assessing risk, staffing, cash flow and profits \u2013 can be made faster and more accurately.<\/p>\n

Or when paired with AI, robots can operate more independently, adapting to new conditions or information. In the AECO industry, AI robots are already guiding vehicles, plastering walls and monitoring jobsite progress.<\/p>\n

2. Potential applications of AI in AECO industry<\/h3>\n

Some AECO companies are already wading into AI, harnessing the tools to limit mundane tasks and streamline work.<\/p>\n

For example, AI can analyse swaths of data to identify patterns and uncover insights that
\nwere previously stored away in scattered drawings, files, invoices and safety reports.<\/p>\n

AECO companies use this information to improve design accuracy, streamline project management, bolster safety and calculate sustainability metrics.<\/p>\n

Or, with AI-powered software<\/a>, AECO companies can quickly update and iterate on designs, testing out the appearance and performance of different features.<\/p>\n

It also allows for easier collaboration with owners and other stakeholders.<\/p>\n

Using data from sensors and smart meters, AI can adjust heating, cooling and other energy use based on real-time occupancy data and climate information.<\/p>\n

The technology allows building owners to reduce energy consumption, operating costs and environmental impact.<\/p>\n

And when creating content, AECO companies are using AI to fine-tune proposals and client emails, plus organise and annotate meeting notes and transcripts.<\/p>\n

3. Digital twins enable data-driven decision-making<\/h3>\n

Using AI, Internet of Things (IoT) sensors and other technology, digital twins are virtual replicas of existing buildings.<\/p>\n

They can enhance real-time visibility into a building\u2019s operations and enable data-driven decision-making.<\/p>\n

The British professional services firm Arup estimates that digital twins can lead to a 15%-20% reduction in variable operating costs for office buildings and a 10%-15% improvement in tenant retention for office and industrial assets.<\/p>\n

4. Implementation of AI-driven solutions<\/h3>\n

AI can help deliver better value at reduced costs, accelerate collaboration, boost the
\nsector\u2019s flagging productivity levels and address other challenges.<\/p>\n

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Even if you\u2019re not ready to fully invest in AI tools, it\u2019s time to get ready for them:<\/p>\n