Construction managers have discovered that AI and cognitive technologies can assist automate many of the boring but necessary duties that come with running a business. Fremont, CA: People have been building shelters and structures for ages, making construction one of the oldest professions. Construction organizations have rapidly begun to use artificial intelligence (AI) in a variety of ways to make construction more efficient and innovative in recent years. AI is already proven its worth in the construction business, from optimizing work schedules to increasing workplace safety to keeping a secure eye on construction sites. Construction managers have discovered that AI and cognitive technologies can assist automate many of the boring but necessary duties that come with running a business.

Once considered futuristic, artificial intelligence has been made more accessible and integral to contractors in recent years by several burgeoning startups, through programs such as OpenSpace and Smartvid.io. Alice, an AI-based simulation platform for construction, announced yesterday that it has closed $8 million in Series A funding round led by Merus Capital with participation from Foundamental, Blackhorn Ventures and Lightspeed Venture Partners. Founded by Stanford scholar and inventor Rene Morkos in 2018, Alice uses AI to help analyze the flows of labor and equipment throughout a jobsite. In use by firms such as DPR Construction, Mortenson and Parsons, the technology allows users to explore a variety of building plans in real-time and understand the impact of key construction decisions on project cost and duration. The firm says that its customers have cut project duration by 16% and labor costs by nearly 15%.

Artificial intelligence (AI) is more present in our lives than we think, it provides limitless potential and advantages that diffuse through many industries. It has been argued that the construction sector has been one of the fastest to adopt applications, processes and technological implementations in relation to artificial intelligence. In this article we look at analysis of the topic, with findings published by The BBN Times magazine. Using drones to undertake AI enabled processes such as Infrastructure planning, design and risk management are just a few of the many applications possible in the construction sector. The BBN Times magazine highlights how good it is to see how the new-age technology has penetrated several industries, including construction. They state that "the construction industry is one of the industries that is not behind in enjoying the power of AI.

Pillar cofounders Alex Schwarzkopf and Matt Joyal, Forbes 30 Under 30 alumni, developed rugged, wireless devices for construction sites to flag environmental risks like fires or leaks early. In February 2017, AvalonBay's 235-unit development in Maplewood, New Jersey, burned down six weeks before its planned opening. The homebuilder rebuilt the $55 million project from scratch--then searched for new ways to prevent fires, a constant threat when building with woodframe construction. The solution: Pillar Technologies, whose devices monitor temperature, smoke and other signs of pending disaster, and which will soon use artificial intelligence to flag environmental risks even earlier. "It's like medical monitoring for buildings," says Michael Feigin, chief construction officer and executive vice president at AvalonBay.

Machine learning and data mining are research areas of computer science whose quick development is due to the advances in data analysis research, growth in the database industry and the resulting world construction market needs for methods that are capable of extracting valuable knowledge from large data stores. Here are some of the examples of machine learning being applied in the construction industry. It's important to note that machine learning techniques apply mostly on a business side, less so in the actual construction. At the same time, the construction industry is currently experiencing explosive growth in its capability to generate and collect data. Advances in data storage technology, such as faster, higher capacity, and less expensive storage devices, better database management systems, and data-warehousing technology, have allowed the transformation of an enormous amount of data into computerized database systems. These data, however, have no use until they are processed and interpreted.