Technological advancements are moving rapidly in the construction space, touching all areas of the ecosystem. With these new technologies and industry-wide digital transformation of paperwork, images, and video feeds, comes data – and lots of it.
In this article, we review many of the variables and problems to consider with U.S. vaccine rollout, and propose several AI solutions that could make an immediate and necessary impact.
This article explores some of the biggest goals construction leaders hope to achieve and the pain points that keep them up at night. Finally, we also discuss the existing AI solutions that can help them address these challenges.
The prevalence of repetitive and data-heavy tasks within the LT industry makes it well-suited for AI adoption. This article covers how AI will help craft a better future not only for LTSPs but for everyone else, too.
In 2020, Synaptiq wielded AI and data science to advance inspiring ventures from accessible banking in Mexico to life-saving technology n the healthcare industry. This article will explore our most impactful projects of 2020—and our predictions for how AI will evolve in 2021.
Artificial Intelligence Solutions for the Construction Industry: Enhancing Safety, Security, and Productivity in a COVID-19 World
Like many industries, construction has had to adapt to a new reality in the wake of the COVID-19 pandemic. AI technology can help construction companies maintain safety, security, and productivity during and beyond this new challenge.
Manufacturers must put out a high volume of products in a short time-frame, creating a challenge: How can companies ensure product quality in a time and cost-effective manner? The answer is machine vision, tailored specifically for product quality assurance.
Technology is an essential tool for business in the modern, digital world. However, it often demands huge amounts of energy and resources, which adds up to a not-insignificant expense. By helping to design and run energy-efficient products and systems, AI allows companies to benefit not only the environment but also their profit margins.
Apple’s Siri, Amazon’s Alexa, and Microsoft’s Cortana use natural language processing and other artificial intelligence (AI) models to receive, interpret, and answer commands and queries. They even adapt and respond to user vocalizations. This begs the question: can Siri also recognize tone, body language, and emotions? To the disappointment of sci-fi fans everywhere, the answer is no. Siri cannot recognize…
How BAL Uses Intelligent Automation to Deliver Exceptional Client Service In this case study, learn how BAL uses intelligent automation to deliver exceptional client service. Despite a march toward digitization, businesses remain overwhelmed by the need to intake and process physical documents. For many industries, such as legal services, high volumes of data impact client…