IoT platform that helps construction and rental companies to monitor their machinery and equipment regarding location and working conditions, using NB IoT.
XYZ Reality addresses the complexities of delivering projects on time and within budget while maintaining high-quality standards with Atom™, an advanced augmented reality (AR) solution transforming construction teams' operations.
In the news this week: Bridging the talent gap, the benefits of using AI in construction, OpenAI releases an infrastructure blueprint for the U.S., what RAG is, money raised by Document Crunch, the concrete industry's CO2 problem, and more.
When it comes to leveraging artificial intelligence (AI) in preconstruction, the problems begin ... well, at the beginning, said panelists at the 2024 Toronto Summit: Future of Preconstruction. They may actually begin before the beginning. "The challenge in fusing AI with preconstruction is that the preconstruction phase is the “most human-tasked part of the construction.”
At a talk on artificial intelligence in a recent safety conference, my excitement turned to disappointment when the speaker promoted a camera system with basic AI functionality—tracking hardhat compliance and flagging puddles. I'd hoped to hear about how generative AI is revolutionizing construction work at a fundamental level. Our industry is still grappling with meaningfully implementing AI technology.
Welcome to the third chapter of our eBook series 'AI-Powered Construction Management Part 3’. Here we focus on understanding the critical components of SWOT analysis in project management, particularly how artificial intelligence can optimize strengths, weaknesses, opportunities, and threats in construction projects.
Artificial intelligence (AI) is a buzzword in today's construction landscape. But to move beyond the talk, it will have to demonstrate clear value by addressing specific industry pain points if its immense potential is to be realized, said panelists at "Applications for AI in AEC" in September at the BuiltWorlds 2024 Toronto Summit.
AI is technology. Wading through the hype to understand what it can and cannot (so far) do, knowing your professional pain points, and then identifying internal technology champions on your team, are the three keys to success when it comes to building a foundation to most effectively harness artificial intelligence (AI).
Intelligent Document Processing (IDP) is an advanced, AI-driven approach to managing, analyzing, and extracting meaningful data from a variety of document types. From invoices and contracts to forms and, critically, unstructured files, IDP technology enables organizations to handle documents automatically and with remarkable accuracy.
In the news, generative AI tools like ChatGPT keep gradually extending their reach. Meanwhile reports relate "death by a thousand pilots," the promise of agentic AI and the study outcome on whether ChatGPT can exceed humans in construction project risk management. Plus relevant press releases from solution providers on their latest incorporations of AI into applications.
Google recently introduced Notebook LM, which it calls an AI collaborator. The notebook was created with assistance from writer Steven Johnson, who wanted a digital Notebook to track ideas, quotes and thoughts ultimately helpful for writing projects. It’s ... an AI agent that you can load with multiple information sources.
Welcome to the second installment of our eBook series "AI-Powered Construction Management Part 3." Here we shift our attention to a pivotal tool in strategic planning and project assessment within construction management: the SWOT analysis.
The limits of foundation models – legal and otherwise – to more effectively leverage artificial intelligence (AI) to advance construction projects were in discussion at the 2024 BuiltWorlds Paris Summit earlier this year. Foundation models are hampered by legal issues surrounding who owns what data in a construction project ...