The future of utility location is evolving quickly and with Artificial Intelligence (AI) deployed alongside traditional Subsurface Utility Engineering (SUE), One Call Locating processes, it is changing the landscape of early risk mitigation. This session is an exploration of how the emergence of Artificial Intelligence (AI) to collect, interpret and synthesize the vast amount of siloed utility data available in the public and private domain is enhancing traditional efforts and transforming the Utility Damage Prevention and Utility Engineering markets.
LEARNING OBJECTIVES:
Explain the Integration of AI in Utility Mapping: Participants will be able to explain how artificial Intelligence (AI) and satellite imagery is integrated into utility mapping processes, including its role in collecting, interpreting, and synthesizing vast amounts of utility data.
Explore AI Applications for Project Pursuits: Participants will explore the applications of AI technology for project pursuits in utility engineering and damage prevention. They will investigate how AI can enhance project planning, risk assessment, and decision-making processes.
Analyze the Efficiency of AI in Utility Record Research: Participants will analyze the efficiency gains achieved through the use of AI technology in utility record research. They will assess how AI expedites the process of accessing and analyzing utility data, leading to improved project outcomes and reduced risk.
Evaluate the Impact of AI and Satellite Integration: Participants will evaluate the impact of integrating AI and satellite technologies in utility mapping processes. They will assess the effectiveness of these technologies in enhancing accuracy, scalability, and cost-effectiveness compared to traditional methods.
Sponsored by
