Many construction companies use hazard reporting systems to engage the workforce in creating a safer work environment. These systems often incorporate some form hazard identification report that workers use to identify and report hazards they observe. Implemented effectively, such tools positively impact the identification and management of safety hazards ...

Too much hyperbole about the potential negatives of artificial intelligence (AI) and its impact on operations is one of the most significant factors slowing its adoption among mid- and small-size construction firms, Craig Hurst, Director of Client Success at the Net Effect and Chairperson of the Canadian Construction Association tells Construction AI.

Many people remain skeptical about the benefits of artificial intelligence (AI), with some even fearing it will take their jobs and infringe on their personal liberties. By industry, construction leads in AI resistance, reflecting sector-specific challenges in embracing technology. So says a fascinating new survey by Yooz.

To improve the output of generative AI models, we explore an exciting concept in AI development called Agentic workflow. Agentic workflows work differently than standard work with LLMs. Rather than an LLM generating its final output directly, an agentic workflow prompts the LLM multiple times, allowing it to build, step by step, a higher-quality output.

Artificial intelligence’s (AI) ability to discern patterns unapparent to the human eye is already beginning to help improve safety and performance on construction projects. And the future looks bright for more positive impact, according to panelists at a webinar sponsored by Sensera Sytems on April 23. 

Machine learning is a branch of artificial intelligence (AI) that focuses on building systems that learn from and make data-based decisions. Here's a simple way to understand machine learning. Imagine teaching a child to distinguish between cats and dogs ...

Artificial Intelligence is a broad term comprising a variety of technologies. Applications that produce or “generate” new content, such as text, images, speech or code are called “generative AI.” Generative AI refers to a subset of artificial intelligence technologies and models that can generate new content or data based on data on which they were trained.

As someone experienced in experimenting with generative AI, David Dunham has noticed its shortcomings in providing consistently valuable responses to prompts. "The responses I receive are often inadequate ..." Is there a way to improve AI’s generative responses? Yes.

Artificial Intelligence (AI) and Machine Learning (ML) are the next generation building information modeling (BIM) building blocks presenting the deepest learning curves and highest walls to climb when it comes to adoption levels and usage comfort in 2024, according to a new survey from Procore.

RFPs describe projects in detail and invite vendors to bid. Bids are documents carefully written and compiled by owners, project managers, bid writers, and subject matter experts. A client must define the scope and what they want from bidders. Bidders must process the information in the RFP and craft appropriate responses. All this begs for the helping hand of generative AI.