"When it comes to history, we think in straight lines. It’s most intuitive for us to think linearly, when we should be thinking exponentially. In order to think about the future correctly, you need to imagine things moving at a much faster rate than they’re moving now."
Authored in 2016, The AI Revolution: The Road to Superintelligence explores every aspect of AI, focusing on its impact and its many potential benefits and risks. ChatGPT4 and Large Language Models, which weren’t specifically envisioned then, are just one building block of the Artificial General Intelligence (AGI) that is described.
Tim Urban’s ‘Wait but Why’ blog is entertaining, insightful,
and inspirational. What I like to share from his AI article is the
understanding of where we currently stand on the Human Progress timeline above
and why we can be certain that progress will exceed our loftiest expectations.
We are experiencing this already…
On the design side, the potential uses of AI in AEC and
BIM present us with an already overwhelming array of choices. There are a
growing number of BIM enhancements and generative AI platforms, ensuring that
agreement on a single concept is both impossible and undesirable.
The aspect of BIM in which I see amazing potential is its
convergence with GIS technology and spatial data in Digital Twin platforms. The
emergence of this technology returns the owner to their place as the primary beneficiary
of advancements in building technology. They have always had the most to gain
and suffered from upstream AEC’s inability to deliver it.
Digital Twin BIM, powered by AI, has the potential to
transform how building owners operate and maintain their assets. By providing
real-time insights, enabling predictive maintenance, and optimizing building
performance, it will significantly enhance building value and improve the
overall occupant experience.
"Using BIM within GIS, any structure can be put into a larger, real-world context allowing for deeper analysis by using GIS tools. The highly detailed information in a BIM model contributes to analysis and planning, improving decision-making processes. Combined with GIS data and its location intelligence, deeper analysis can be performed at any stage of the lifecycle, whether it is an early or fully detailed version of the given BIM model."
AI may perfect the BIM process for Design and also provide the
framework for information consumption during Operations. Builders’ AI must
transform design data and geometry from design to trade hierarchy. Everyone
involved in the process must now be stewards for its reliability, so that the
outcome desired by the owner can be achieved. There can be no substitute for this.
No excuse that allows it to fail.
The pragmatic courage mentioned by Luke Johnson will be needed by BIM Managers to create and enforce the model delivery standards defined in their BIM Execution Plans, via AI or traditional means, including:
- Models must become the Designer’s primary deliverable, taking precedence over 2D drawings.
- Models must be delivered at each planned submittal, at the same time as other contract deliverables.
- A process for Concurrent Record Modeling must be created and enforced, assuring that all changes to the original design are incorporated as they are made.
Ultimately, the success of AI-powered BIM hinges on the
leadership and vision of BIM Managers. They must champion the adoption of these
technologies, establish clear standards for data quality and exchange, and
ensure that the benefits of AI are fully realized for building owners. By
embracing these challenges and driving innovation, BIM Managers can maintain
their relevance and continue to play a pivotal role in shaping the future of
the built environment.
No comments:
Post a Comment
Note: Only a member of this blog may post a comment.