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You are at:Home » The quality of the data is maintained. AI can help.
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The quality of the data is maintained. AI can help.

Machinery AsiaBy Machinery AsiaMarch 25, 2025No Comments3 Mins Read
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The construction industry generates more data than ever, but much is disorganized and not standardized, according to the New York New York conference panelists, held on March 12-3 at the Javits Center in New York City.

One of the key topics of the entire conference: While the construction industry produces enormous amounts of data, much is kept silenced and inconsistent in projects.

Standardization is a challenge, which entails inefficiencies and lost time, said Charlie Portelli, a digital innovation strategist by Perkins & Will, a world -based world design firm based in Chicago.

“There is data around us, from our models, spreadsheets, contract documents, email communications, teams, chats, but it is not really organized,” said Portelli. “If you do not normalize it, you will only have a little firing.”

Many companies are still struggling to convert data into gross -shaped views, said Satoshi Kiyono, head of Virtual Design and Virtual Construction Projects of Turner Construction, in New York General Contractor.

“The data is around us everywhere. Now there are also a lot of data that are not collected, they are not digitized,” said Kiyono. “But if you start understanding what this digital information is and how you can connect this information, this is good data. How can you start to measure and connect data that are noisy versus what is valuable?”

To begin with, construction companies can start using and validate data, automate work flows and improve global decision -making, according to panelists.

“You really talk about sharing data so you can report on decisions,” said Sheena Shook, Modulus Consulting Business Development Director, a San Francisco Consulting company under construction.

Tools in place

Although cleaning of available data is still a problem, advances in robotics and reality capture tools promote innovation around workplace efficiency and data capture first.

From mobile exploration to AI -based analysis, these tools quickly change the way contractors supervise and execute projects, said Salvatore Cali Jr., an assistant curator of public buildings in the design and construction department of New York City.

“We enter with a camera 360 and really surveys the entire installation and will be used to document the current conditions. This is being done monthly,” said Cali. “It is used for orders of change, payment, progress and assistance with the programming. This is a new thing that we have just started.”

Spot of Boston Dynamics, a robotic dog used to capture sites and security monitoring, makes construction work more safe taking high risk tasks, said Shook. Robodog automates progress monitoring and inspects dangerous areas, according to the Massachusetts -based robotics company.

Over time, tools like these will allow easier collection of data, said Cali. This will ultimately provide frame to timely patterns.

However, mass adoption is still a work in progress, said Benjamin Friedman, a main data scientist with DLR Group, an Omaha, based in Nebraska. Design signature. This is because all stakeholders, from general contractors to field workers, not only have to introduce these tools, but also adhere to the passage of time.

“Build -you don’t buy it,” said Friedman. “Net data are needed [and] It is a very hard job. None of this is a “take it out of the shelf and will solve all your problems”. Ai does not work that way. “

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