The wider construction industry (in our case, heavily focused on commercial service) has long been associated with traditional methodology and manual processes. We now have an aging workforce getting ready to retire and new blood entering the industry—ready to embrace change and integrate new technologies into the fold. One of those technologies, as you all very well know by now, is artificial intelligence (AI).
In the following article, we’re going to unravel the mystery behind the inner workings of AI and explore some of the many ways this new technology will have a significant impact on construction tech.
That’s a loaded question. The best way to look at AI is as a powerful tool that scans information, identifies patterns, and then uses those patterns to make predictions. When AI has access to more information (larger data sets), it can identify more complex patterns and produce more nuanced predictions. The applications we’re seeing now within the tech industry are seemingly endless, but here are some of the most common applications—with a few examples:
Integrating these functionalities into a variety of different software types has helped businesses across countless industries gain valuable insights, enhance decision-making, streamline labor-intensive processes, and develop innovative new ways to help their customers. AI has provided the construction tech industry with adaptability and problem-solving capabilities that are reshaping its entire digital landscape—making it a driving force behind new advances and continuous innovation.
This brings about another important question…
The short answer is—no. Despite some of the remarkable things we’re seeing companies do with AI, thus far, it cannot operate without a human co-pilot. The importance of humans in the workforce operating in conjunction with AI systems was covered in a previous article that you can read here. Artificial intelligence will always outperform people when it comes to analyzing and processing data, making predictions, and automating tasks, but without the proper context or the ability to exercise ethical judgment, humans will always be required to help these systems make sense of the subtle complexities and nuances of the real world.
Not to mention the fact that human input will always be necessary for fine-tuning AI algorithms, curating high-quality training data, and making difficult decisions in ambiguous and novel situations.
AI is now gradually finding its way into the construction industry and, more importantly, into the domain of commercial service. If you take a look at the HVAC, electrical, plumbing, and mechanical industries, AI systems are being used to power and optimize crucial functions that help ensure both increased precision and efficiency.
AI’s role in these areas is transforming construction technology, making these essential services more energy-efficient, cost-effective, and reliable. As the industry continues to embrace AI, construction processes will become smarter, safer, and more sustainable.
Now, looking into the future, there’s a looming opportunity for this same technology to be rolled into commercial service and project management software. BuildOps has always believed in finding new and innovative ways to better serve the unsung heroes of the trades. There’s a whole world of new possibilities to explore, and we’re excited to bring on these new technologies that will ultimately play a pivotal role in the future of field service management.
AI-powered tools will enable businesses to automate routine tasks, such as scheduling and resource allocation, allowing for more focus on complex problem-solving. Predictive analytics and data-driven insights will empower managers to make informed decisions and identify potential issues before they become critical, ultimately reducing downtime and enhancing project success rates. Moreover, natural language processing and AI-driven chatbots will facilitate seamless communication between service shops and their customers—providing real-time assistance that actually makes a difference.
As AI continues to evolve, the integration of machine learning, computer vision, and data analysis capabilities will revolutionize these software solutions, ushering in an era of efficient, data-driven, and customer-centric approaches to field service and project management platforms across the industry.
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