Please use this identifier to cite or link to this item: https://ipweaq.intersearch.com.au/ipweaqjspui/handle/1/8228
Type: Audio Visual Recording
Title: The Regional Asset Intelligence Group
Authors: Hobson, David
Tags: Asset Management
Issue Date: 2024
Publisher: Institute of Public Works Engineering Australasia Queensland & Northern Territory
Abstract: Problem Artificial Intelligence (AI) methods combined with advances in technical devices have already shown potential benefits to local governments and educational institutions (e.g., defect detection, asset monitoring). However, there was no coordination of strategies used or results derived from these investigations. A regional group was the next obvious step to formalising the requirements and standards for AI for public infrastructure management and developing and sharing this knowledge throughout the region. Background The City of Gold Coast (CoGC) had been investigating the use AI to automate their defect collection process for council infrastructure. The knowledge gained from our initial projects, along with the increasing interest in the value of AI for public entities, led to the creation of the Regional Asset Intelligence Group (RAIG). The group has grown from initially 5 member councils to currently 14 member organisations. A charter was ratified at the meeting held in July 2023 which outlines the responsibilities of members and organisations. We are now looking for acknowledgement and endorsement from local government organisations to progress the group further. Drivers • Regulatory drivers around competent physical and financial management of assets and Workplace Health and Safety. • A mature program would enhance the audit process by automating certain aspects of the valuation process. • Elimination of human intervention on the review of thousands of CCTV videos is a significant saving for council. • Eventual automation of infrastructure renewal options from the AI systems could lead to even greater savings through optimised decision-making processes. Opportunities remain to advance AI applications to perceptual analysis and to the broader set of problems and challenges faced by government agencies. Member councils will help contribute to advancing AI applications and standards through information sharing, education, and collaboration across the local government community, including industry, academic, and government participation.
URI: https://ipweaq.intersearch.com.au/ipweaqjspui/handle/1/8228
Appears in Collections:2024 SEQ/SWQ Branch Conference Toowoomba (Presentations)

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