The Debut of Machine Learning and Artificial Intelligence in Construction. Credit: Oracle

We have seen the combination of AI and Machine Learning embedded into broader workflows to support decision-making. AI is appearing in preconstruction phases, and Machine Learning is detecting construction patterns previously missed, as the digital and physical worlds blend. Join us on March 11^th at 10 am CT with our panel, moderating by Burger Consulting Group, as we discuss these changes with Walbridge Aldinger, Oracle, and CSI Crosswalk.

Blending the Physical World of Construction with the Digital World of Machine Learning

Artificial Intelligence and Machine Learning may seem like buzzwords in construction, but they are developing quickly. They can be already seen in solutions for project scheduling, logistics, within BIM in generative modeling, safety, project risk, and predictive maintenance.

Both Machine Learning and AI will play a role in emerging technologies, enabling mobile robots to scale repetitive tasks and seamlessly integrate workflows through the IoT (Internet of Things). The current coexistence of human workers and autonomous systems means a further, seamless integration of the decision-maker and tasks completed on jobsites.

Meet the Moderator

Christian Burger, Founder & President, from Burger Consulting Group. BCG has been serving North America for over 20 years and has worked with more ENR ranked companies than any other consultancy in the industry. BCG is a construction industry thought leader for innovative IT solutions, focusing on the alignment of technology with unique business strategies.

Meet the Panelists

John Jurewicz, Director of Innovation, from Walbridge Aldinger. As the technology leader for Walbridge’s enterprise, John discovers and optimizes new technologies for the built environment. Walbridge has provided building design and construction services for more than a century, leveraging technology in construction to venture ever forward.

Mark Jenkins, Director of Product Strategy, from Oracle. Serving in Oracle Construction and Engineering, Mark provides domain expertise and leadership in developing the next-generation construction management solution. Oracle is a premier computer technology firm innovating tomorrow’s solutions today.

Hugh Seaton, Product Lead, of CSI Crosswalk. Brought by CSI, the creator of construction standards, Crosswalk is the digital engine for Architecture, Engineering, Construction, and Owner (AECO) firms. Crosswalk lets software, products, and websites connected to CSI standards in an effective, efficient digital way.

From the Experts:

Artificial Intelligence (AI) and Machine Learning are becoming common buzzwords in the construction industry. Like many evolving technologies before it, these two terms carry a lot of promise but also an opportunity for misunderstanding. Even though AI and Machine Learning technology is still early in their inception, they are developing quickly in construction and we are left asking how AI will change construction. AI is beginning to appear in solutions for project scheduling, logistics, in BIM in the form of generative modeling, health and safety, monitoring project risk, and predictive maintenance. Our panel of industry experts will provide a solid framework for thinking about AI and Machine learning, where they’re being applied in construction today, the challenges the industry faces in trying to adopt AI/ML, and how construction companies might plan for leveraging the technology.

The Debut of Machine Learning and Artificial Intelligence in Construction

Machine Learning, at its most basic level, is machines learning and predicting outcomes autonomously. Rather than having a person program them, they use algorithms to create predictions based on data. It is a subset within the field of AI, as machines learn alongside humans. Construction has been lagging in technological advances relative to other industries. However, these technologies could work alongside people on jobsites to elevate productivity, improve safety, and ensure quality. Machine Learning and AI hold promise to perform monotonous, dangerous tasks on the field and aid design in the office.