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Posts Tagged ‘BIM’

AECCafe interview with Don Jacob on the status and potential of artificial intelligence in the AEC/O industry

Tuesday, July 27th, 2021

Sanjay Gangal interviewed Don Jacob, VP Technology, Build & Construction Division of the Nemetschek Group

Don Jacob, VP Technology, Build & Construction Division of the Nemetschek Group

Don Jacob, VP Technology, Build & Construction Division of the Nemetschek Group

Artificial Intelligence (“AI”) is a trending topic in the AEC/O industry. Why are you convinced that it is beneficial for stakeholders across the whole building lifecycle?

With Building Information Modeling (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. Stakeholders throughout the design and build value chain are spending more and more of their time as information managers, attempting to organize and synthesize the meaning of this information. AI and machine learning (ML) techniques are proving to be powerful tools to maximize the value and realize potential of data to drive timely decisions faster, impacting architecture, engineering, construction, and building operations.

Maybe you can explain this in greater detail? How exactly does AI deliver value?

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. Planning and design are already benefiting from advanced software tools – like those provided by the Nemetschek Group – which help identify rule-based clashes between models, create accurate construction simulations and schedules, and increase the efficiency of the design stage. 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-optimized. The need to deliver projects successfully with fewer resources has driven the need to leverage the insights that AI and machine learning provides.
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AECCafe interview with Viktor Várkonyi on the importance of data and the concept of Building Lifecycle Intelligence

Wednesday, May 5th, 2021

Sanjay Gangal interviewed Viktor Várkonyi, Chief Division Officer, Planning & Design Division, & member of the Executive Board of the Nemetschek Group

The complexity of building projects is ever increasing. BIM is ensuring smoother processes, but many projects still struggle. Why is that the case?

 Viktor Várkonyi

Image provided by Nemetschek Group

Building Information Modeling, as the name implies, should be all about information. But the reality looks quite different – most BIM processes are centered around model-based workflows. This approach implies that models are designed based on certain requirements, then data is generated and validated. Handing those models over to the next profession within the building lifecycle often generates data losses, which leads to errors. Even more problematic that during the construction, parts are redesigned. Especially for large and complex projects this approach is far from being efficient. But if we instead focus on the data itself and organize this data at a central point for all stakeholders to access, a smooth process can be guaranteed.

The building data follows a data scheme that can be utilized dynamically across different software applications. Non-graphical data can drive the entire value chain. This is what we in the Nemetschek Group call Building Lifecycle Intelligence™. The approach needs an open, connected ecosystem, centered around data that dynamically connects models and documents. Working in an open cloud environment allows anyone to connect and communicate through open protocols and standards, generating real value for all parties.

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