The role of data in unlocking the power of AI

Unanet recently released its 2024 AEC Inspire Report. In this blog series, we’ll explore the topics and themes it covers and how your AEC firm can use this information to gain a competitive advantage. 

The role of data in unlocking the power of AI 

In the architecture, engineering, and construction (AEC) industry, artificial intelligence (AI) is revolutionizing design processes, optimizing building plans, improving project management, enhancing safety through predictive analytics, and streamlining construction workflows. But AEC firms have only begun to scratch the surface of what's possible.  

According to the 2024 AEC Inspire Report, over half of firms are already using AI in some form, showing a significant shift towards technology-driven solutions.  

The question then becomes: how do AI-ready firms (and firms that aim to be AI-ready) truly maximize AI data utilization in AEC?  

The answer is clear: focus on having high-quality data. 

Moving from the past into the future 

Previously, AEC firms understood their projects in the rearview mirror, pulling and arranging data through various means of reporting. Now, with AI, they have the opportunity to not only understand their data, but also tease out valuable insights. They can predict future trends and challenges to help shape how they pursue and execute on projects.  

Many industries are turning to AI, and the AEC world is no different. For example, the AEC Inspire Report highlights that 41% of construction firms have implemented AI policies.  

This means they're ready to act on what might come next, rather than just reacting to what has happened. But the leap to full AI maturity requires more than just willingness.  

The importance of high-quality data 

AI relies on good data, just like a house needs a strong foundation. The AEC Inspire Report indicates that firms with strong data practices are significantly more likely to experience growth. These firms can make accurate forecasts, allowing them to be well-prepared for what lies ahead in the industry. Leveraging robust data management strategies allows them to anticipate market trends and adjust their operations accordingly. 

AI data utilization in AEC depends on having clean, well-managed data. This ensures that AI systems work effectively, delivering precise analytics and insights. With effectively managed data, companies can make informed decisions promptly, optimizing their resources and strategies to remain competitive in a rapidly evolving market. 

Implementing robust data governance frameworks is crucial for ensuring the quality and integrity of data being used by AI in the AEC sector. Establishing clear protocols and guidelines for data collection, storage, and usage helps firms mitigate risks related to data breaches, inaccuracies, and other compliance issues.  

Investing in software to help teams manage and store data effectively can empower teams to maximize the potential of AI tools. This requires adopting a tech-forward approach and embracing a firm-wide culture that values data-driven insights.  

Commit to sound data management 

To make AI work effectively, everyone in a firm must be actively involved in managing data, ensuring its accuracy and accessibility. Leaders have a critical role in this process, as they need to ensure that all team members are well-informed on how to collect, handle, and safeguard data properly. This begins with comprehensive training and the establishment of clear data management protocols. It also requires having the right tools in place to help you store and manage that data. Doing so manually is too fraught with potential complication.  

This strong commitment to effective AI data utilization in the AEC industry is pivotal because it enhances operational efficiency and also positions these firms to fully leverage AI's potential. This can then drive innovation and competitive advantage in a fast-changing tech environment. 

Building tomorrow's AEC industry 

The AEC Inspire Report highlights the ongoing transformation in the AEC industry as companies embrace AI and data-driven strategies. Firms are implementing AI initiatives to automate repetitive tasks, predict project risks, and optimize resource allocation. 

To ensure AI systems deliver accurate predictions and insights, firms need to focus on improving data quality. Additionally, data analytics is being utilized to anticipate resourcing needs, manage manage projects, and reduce risk, ultimately lowering costs and enhancing project outcomes. 

By embracing high-quality data practices and fostering an organization-wide commitment to data management, AEC firms are not only paving the way for smarter, more efficient projects but also redefining the future of design build. As the industry continues to evolve, those who harness the full potential of AI will lead the way, setting new standards in innovation and excellence. 

In our next post, we’ll take a closer look at navigating the talent cliff in the AEC industry. Until then, download the entire 2024 AEC Inspire Report here.  

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