Track: Construction/BIM/Sustainability

– Lack of innovation and delayed adaptation
– Fiscally conservative company culture resistant to new technologies
– Inadequate knowledge transfer and dissemination from project to project
– Weak project monitoring

Unmanned and Artificial Intelligence (AI) based systems are disruptive technologies that can improve the above mentioned shortcomings; however, this technologies are underutilized by the construction industry. The main focus of this paper is on:

• Analysis of the cultural readiness and resistance of construction industry/companies towards technology.
• Inefficient change management and change agent proficiency in construction industry
• Analysis of the financial impact of the unmanned systems and AI technology on construction industry.

The paper consists of both qualitative and qualitative analysis. The research measured the North American based construction companies, Technology Readiness Index (TRI) in terms of unmanned systems and AI implementation. Qualitative method was used to determine the root cause for the construction industry’s cultural and organizational resistance towards integration of Unmanned and AI based systems into their practice. Quantitative method was used to determine the potential financial impact of disruptive technologies (unmanned and AI systems) on construction industry and particularly construction project management practices.

Writers:
Shahab Moeini
Azzeddine Oudjehane
Mina Afshar
Domenic Aello
Wade Hawkins

PMI Talent Triangle: Strategic and Business Management

It’s no longer a matter of whether or not but rather how will AI – Artificial Intelligence transform the management of construction projects.
A large volume of data mostly unstructured data is typically generated by construction projects. Most of that data in construction has traditionally been collected on paper and very limited predictive analytics was performed.

Using big data to gain more insights and make better decisions in construction management by not only accessing significantly more data but by properly analyzing it to draw practical building project conclusions. In fact, big data, like truckloads of bricks or bags of cement, isn’t useful on its own. It’s what you do with it using big data analytics programs that count.

From the design phase using BIM – Building Information Modeling, Unmanned Systems to capture and monitor construction progress, to autonomous equipment or smart embedded sensors for asset and project management, this presentation will address the following learning objectives:

• Defining the types of data generated during the life cycle of construction projects
• Identifying the trends for integration of technology in construction management
• Reviewing case examples of AI integration in the build environment
• Recognizing the value of AI and Big data applications in construction management
• Assessing the risks and limitations of transforming and applying smart technology and AI

PMI Talent Triangle: Technical Project Management