{"id":97643,"date":"2021-08-12T08:22:05","date_gmt":"2021-08-12T07:22:05","guid":{"rendered":"https:\/\/www.pbctoday.co.uk\/news\/?p=97643"},"modified":"2022-07-01T16:06:00","modified_gmt":"2022-07-01T15:06:00","slug":"ai-and-machine-learning-transform","status":"publish","type":"post","link":"https:\/\/www.pbctoday.co.uk\/news\/digital-construction-news\/ai-and-machine-learning-transform\/97643\/","title":{"rendered":"Artificial intelligence: On the verge to disrupt and transform the building lifecycle"},"content":{"rendered":"

Don Jacob, VP technology, build & construction division at the Nemetschek Group<\/a>, discusses the relevance of AI for the building lifecycle<\/h1>\n

Artificial intelligence (AI) is set to become an integral part of the construction process. With Building Information Modelling (BIM) extending further across the project lifecycle, the shift to data-driven design and construction is resulting in increasing amounts of data being generated in all phases of a project.<\/p>\n

Stakeholders throughout the design and build value chain are spending more and more of their time as information managers attempting to organise and synthesise the meaning of this information. AI and machine learning (ML) techniques are proving to be powerful tools to maximise the value and realise potential of data to drive timely decisions faster, impacting architecture, engineering<\/a>, construction and building operations.<\/p>\n

Delivering more with data<\/h3>\n

Data is the fuel that powers AI. Using historical information, machine learning can forecast future results based on past performance, identify patterns and generate new insights in ways never before imagined.<\/p>\n

Planning and design are already benefiting from advanced software tools<\/a> \u2013 like those provided by the Nemetschek Group<\/a> \u2013 which help identify rule-based clashes between models, create accurate construction simulations and schedules and increase the efficiency of the design stage.<\/p>\n

AI has introduced methodologies such as generative design, creating thousands of options in a fraction of the time which are then refined by the designer to meet client requirements. In the future, the use of AI in design will help to automate traditionally manual tasks, providing assistive technology that enables design and planning to be faster, higher quality and cost-optimised. The need to deliver projects successfully with fewer resources has driven the need to leverage the insights that AI and machine learning provides.<\/p>\n

Maximising the utilisation of available resources is also an important theme for both project managers and construction site staff. The AEC industry<\/a> has historically grappled with time and cost overruns, particularly as projects have become larger and more complex. AI \u2013 coupled with site monitoring data such as photos, video and field sensors \u2013 holds the key to overcoming these challenges, improving project monitoring and risk management.<\/p>\n

By identifying common patterns that lead to problems and alerting project managers, corrective action can be taken sooner, before issues become critical and impact progress. Similarly, risks identified and prioritised by AI systems help teams focus resources on the most critical issues. And, most importantly, safety risks can be better identified and mitigated in almost real-time to prevent issues before they happen<\/p>\n

Increasing efficiency for a more sustainable building process<\/h3>\n

On most projects, coordinating the large amounts of workers, materials and machinery presents significant logistical and scheduling challenges. Here, too, is where AI has the power to fundamentally impact site coordination.<\/p>\n

Planning site deliveries and sourcing materials are areas that will see significant improvements as more efficient routes, loading patterns and inventory management are offered by AI solutions<\/a>. Downtime will be minimised and managed effectively as resource utilisation will be better planned for material tracking and equipment utilisation.<\/p>\n

This trend continues downstream to materials suppliers and equipment manufacturers, who will optimise their quality control, procurement, inventory management, pricing and delivery systems by integrating AI into their processes. As the management and monitoring of the construction process is particularly complex, AI will provide substantial benefits in this area<\/p>\n

While efficiency has been the main driver for AI in the construction industry, there is an increased focus on the end user\u2019s requirements and the desire for more sustainable buildings. Once a project is completed, AI continues to offer advantages throughout the asset\u2019s operation. Sophisticated facilities management systems that integrate information from internet-enabled sensors and other data capture equipment are rapidly becoming commonplace.<\/p>\n

No other emerging technology has the potential to disrupt and transform the entire building lifecycle to the extent that AI will. With data playing an increasingly important part of the design, construction and operation process thanks to BIM, leveraging the power of AI to enhance efficiency even further and meet user demands is the next logical step in the evolution of the AEC\/O industry<\/a>.<\/p>\n

 <\/p>\n

 <\/p>\n

\"\"Don Jacob<\/strong><\/p>\n

VP Technology & Innovation<\/p>\n

Build & Construct Division<\/p>\n

Nemetschek Group<\/a><\/p>\n

mediarelations@nemetschek.com<\/a><\/p>\n

 <\/p>\n

Please note: this is a commercial profile.<\/em><\/p>\n

\n<\/div>","protected":false},"excerpt":{"rendered":"

Don Jacob, VP technology, Build & Construction Division at the Nemetschek Group, discusses the relevance of AI for the building lifecycle.<\/p>\n","protected":false},"author":20,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[141293],"tags":[172725,576,95229,464,574,73241],"stakeholder_rel_tag":[172487],"contributor_rel_tag":[],"class_list":{"0":"post-97643","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-digital-construction-news","7":"tag-artificial-intelligence","8":"tag-bim-software","9":"tag-bim-today-september-2021","10":"tag-contributor-profile","11":"tag-data-management","12":"tag-sh-nemetschek","13":"stakeholder_rel_tag-nemetschek"},"acf":[],"yoast_head":"\nArtificial 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