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There’s no getting around it. The financial risks of doing work in the built environment are significant for everyone involved. Capital projects budgets are big, so the stakes are too. If you’re an owner, you’re often worried about expensive change orders and padded GMP budgets. If you’re a construction firm, you’ve almost definitely endured the burden of late payments by owners (while still having to pay your crew on time) and maybe even uninsured losses due to an owner’s overly narrow policy.
A new article by Director Michael Goggin was recently featured on Buildings magazine. In the article, he urges real estate players to consider data collection and processing that could enable artificial intelligence applications in the near future.
Evolving trends in data acquisition, data communication and storage, data science and artificial intelligence leave little doubt that smarter buildings are the future of the built environment.
It's a new era in data transparency and accessibility for project management.
When commercially available computers first came on the scene in the late 1970’s and early 80’s, most people thought of them merely as a way to enhance existing methods. Word processing saved time over typing. Spreadsheets saved long hours of punching numbers into a calculator. AutoCAD made it possible to do faster, more accurate design calculations.
Associate Antonio Rodriguez was featured on Construction Executive, speaking about how to leverage data through building information modeling (BIM).
In the article Antonio explains that the AEC industry has a bad habit of storing information in silos, and that it still hasn't caught up to enabling a "single source of truth".
He described how committing to a single source of truth would pay off, and highlighted:
In the context of the upcoming China International Big Data Industry Expo, members of our China team were interviewed by the Global Times about the state of AI in China.
Director Todd White, based in our Beijing office, said:
China will be quickly adapting to the digital transformation due to its open culture. China will be the first all-digital society and we see that as a huge opportunity.
See the rest of his commentary and the full article below.
For the last 11 years, Enstoa has worked to ensure capital projects achieve maximal return on investment. Capital projects are inherently risky -- they’re big, expensive, and time-consuming. Enstoa is on a quest to reduce these risks.
To this end, we’ve traditionally focused on a core set of concerns: streamlining processes, applying data-driven insights, and using emerging technologies like AI to reduce uncertainty and minimize cost.
We’re way past the point of buzzword with artificial intelligence in engineering and construction. It’s no longer just an idea, but a make-or-break business reality.
Enstoa is excited to participate in the upcoming CITI AEC 2018 event in Mexico City. If you are planning to attend, make sure to meet with Enstoa's team!
The Internet of Things (IoT) produces intelligence we can act on. With the ability to streamline everyday processes, IoT has the potential to transform the way we design, commission, fund, and build projects across all sectors. When it comes to major capital projects for healthcare, however, there are additional considerations to take into account – particularly how regulatory requirements from the Centers for Medicare and Medicaid Services and The Joint Commission affect both design and construction methods.