b'Navigating Change: The Transformative This process starts with how data is captured,Power of AI in Construction collected and imported. A sufficient volume ofdata thats highly accurate will lead to higher-quality AI outputs like better cost estimates andimproved risk assessments. On the other end ofthis spectrum is data utilization, which is howeffectively the collected data is used. As an industry, construction is at a crossroads. Generationalshifts in the labor market, changing risk profiles, dynamicbuild environments and increasing project complexity meanthat companies are under immense pressure to get the best (continued on page 19) out of their most valuable assettheir people. Technology is a key lever that construction executives canpull to drive growth and maximize their workforcespotential in todays evolving landscape. At the forefront ofthis tech revolution is artificial intelligence, a game-changingtechnology that has the potential to reshape the wayconstruction projects are planned, executed and managed.With implications reaching every corner of the industry,from design and planning to project management andsafety, AI is an ongoing reality for our industry to takeadvantage of. Several types of AI are increasingly used in construction.First, theres machine learning, which is typically used topredict project outcomes, helping to foresee potential issuesand optimize planning. Then, there is robotics, whichgenerally involves augmenting field tasks that wouldotherwise take significantly more time and effort, enhancingefficiency and precision. Computer vision is another key technology, with a lot offocus on progress tracking, providing real-time updates andinsights on the projects status. Natural language processingis often used to extract contract details or summarizereports, making it easier to handle large volumes of textualdata. Lastly, generative AI, the newest addition, cangenerate monthly summaries from daily logs or createschedules from specifications, highlighting its potential tostreamline various cumbersome tasks. AI ROADMAP: A JOURNEY THAT NEEDS TOSTART WITH DATA As organizations consider how to utilize AI effectively, thefirst question to ask is about the availability of clean,consistent and reliable data. 16'