Unlocking Competitive Advantage: Why should AEC companies experiment with building their own AI solutions?
There are several compelling reasons to pursue proprietary AI development. For one, each company has its distinct expertise and nuances that off-the-shelf AI solutions might not fully capture. Building AI solutions in-house allows businesses to leverage their unique strengths and knowledge, ensuring that AI resonates with their specific requirements. In addition, AEC companies possess unique data sets from their projects, and AI built on specific data is more aligned with the company’s needs than those based on generic data sets. Finally, data confidentiality is a pressing concern. While AI models such as ChatGPT are trained on public datasets, there’s an inherent risk of proprietary data blending into a wider knowledge pool when a company uses third-party solutions, potentially diminishing a company’s competitive advantage.
