To wrap up our inaugural event, Javier revisited some key themes discussed during the AI Summit, reflected on what attendees learned, and recognized the work still ahead as the AEC industry blazes a trail toward the AI-powered and data-driven consultancy of the future.

In the past 18 months, the industry has seen an explosion in the adoption of generative AI and large language models by individuals and organizations. Latest advances in GPT models have opened the door to a new era in the use of natural language as the interface between humans and computers, while also providing the…

For most data and analytics leaders, the goal is to leverage AI and data science techniques to drive company growth and productivity. While this is key, driving value through the lens of sustainability and resilience is where Arup’s mission of “ Shaping a Better World” plays an important role in how the company leverages AI.…

Artificial intelligence has emerged as a truly transformative technology. Much like its disruptive predecessor, the internet, it is emerging not solely as a technology innovation, but as a catalyst for reimagining experiences. There are myriad benefits to applying AI within the AEC industry, not the least of which is the potential to reshape client interactions…

The expectations for AI have never been higher but the challenges and risks are real. Though not for the faint of heart, it’s critical to the future of the AEC industry that firms maintain a standard of care and mitigate risks while fostering the transformation necessary to use data, AI and machine learning effectively. Justin…

In today’s digital world, cyber threats are becoming increasingly sophisticated and frequent. As the AEC industry continues embracing AI technologies to drive innovation and efficiency, it is critical to ensure that cybersecurity risks are managed effectively.  Ricardo explored the opportunities and challenges AEC organizations face in harnessing the power of AI in a cyber-driven era.…

Jason discussed building a corporate data strategy centered on clients to improve the odds of AI investments rapidly returning on initial investment and helping secure a broader corporate transformation, all while fostering client loyalty. Developing and implementing a data strategy can be daunting, so this session explained how to break the process down into manageable…

J Nick discussed the human element of AI implementations and use, focusing on staff retention, upskilling, reskilling and recruitment. He explained how to communicate with business staff and leaders about the changes and opportunities that could lead to process automation, knowledge base enhancements, generative output, assistive tech and more.

When it comes to AI in the AEC industry, it has mostly been the cover page–ready applications of AI to the infrastructure lifecycle getting the attention. However, there are equally valuable applications of AI within core support functions in our organizations, specifically Quality, Safety and Risk (QSR) management. Kevin covered a series of real-world and…

Jonathan explored the impact of generative AI on the design process and how large language models (LLMs) have the potential to reshape architectural and design workflows. Through the lens of three technological application domains — visual, spatial and semantic — Jonathan discussed how these advancements are influencing innovative space planning and challenging traditional design paradigms.…