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DTSTART;TZID=Australia/Brisbane:20260716T173000
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UID:10501-1784223000-1784230200@www.amcouncil.com.au
SUMMARY:Brisbane - July Trivia and Networking Event (Christmas Themed)
DESCRIPTION:We’re excited to invite you to the Asset Management Council Brisbane Chapter – July Trivia and Networking Event (Christmas Themed)\, back by popular demand. \nFollowing the overwhelmingly positive feedback from last year’s July event and repeated requests from participants to bring it back\, we’re thrilled to deliver the same format\, same vibe and same fantastic location once again. This year’s event will feature the following: \n\nAsset Management related trivia (win cool AMCouncil stickers!) and\nBrief overview of Advancing Asset Management Through Intelligent Monitoring and Predictive Technologies\n\nThis will be complemented by an enjoyable evening of connection\, networking and festive fun in a relaxed Christmas-themed setting. \n📍 Venue: Cicada Blu\, The Star Skydeck (Brisbane)\n📅 Date: Thursday\, 16 July 2026\n⏰ Time: 5:30pm – 7:30pm \nWe’ll have free light nibbles to keep you fuelled and you can grab your favourite drinks at the bar (on you!). \nHuge thanks to our amazing sponsors: Detection Services and Rockfield Technologies Australia for making this merry event. \nWe look forward to welcoming you for another engaging and memorable evening. 🎄 \nClick here to register\n 
URL:https://www.amcouncil.com.au/event/brisbane-july-trivia-and-networking-event-christmas-themed/
LOCATION:Cicada Blu – The Star (Skydeck)\, 33 William Street\, Brisbane City\, QLD\, 4000\, Australia
CATEGORIES:Brisbane Chapter Events
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DTSTART;TZID=Australia/Melbourne:20260721T120000
DTEND;TZID=Australia/Melbourne:20260721T133000
DTSTAMP:20260705T134229
CREATED:20260602T042111Z
LAST-MODIFIED:20260602T042111Z
UID:10495-1784635200-1784640600@www.amcouncil.com.au
SUMMARY:Melbourne - Asset Investment Planning: Critical Success Factors for a Strategic Business Function
DESCRIPTION:Asset Investment Planning (AIP) is a critical function of any asset intensive organisation. When performed well\, organisations can unlock significant capital and generate additional value for stakeholders. Conversely\, inadequate AIP practices often result in elevated lifecycle costs\, uncoordinated activities and an underperforming asset portfolio that poses service interruptions\, public safety risks and misalignment with evolving societal needs. \nThe presenter\, Rory Gibbons\, brings over a decade of expertise in implementing AIP frameworks across both public and private sectors. With comprehensive experience spanning diverse industries including education\, local government\, maritime infrastructure\, transportation\, and water utilities\, Rory has successfully delivered AIP initiatives across an extensive range of assets from municipal streetlighting to critical national port infrastructure. \nIn the session\, Rory will share a selection of key learnings and case studies from his professional portfolio which will demonstrate the successful application of AIP principles. Rory will emphasise the importance of project fundamentals\, the power of asset criticality and the need for a multilingual expression of outcomes. Furthermore Rory will highlight common watchouts and provide tips that can become strength multipliers for your AIP practices. \nClick here to register\n\n		\n			\n				\n			\n			\n		 \n		\n			Rory Gibbons is an Asset Services Team Lead at Brightly\, where he leads asset investment planning projects for APAC clients. As a chartered asset management & engineering professional with over 14 years in the industry\, Rory has extensive experience working with infrastructure\, throughout all lifecycle stages and across a broad range of sectors\, including local government\, ports\, energy\, transport and water. Rory is dedicated to helping clients optimise value and achieve sustainable infrastructure outcomes through strategic asset management initiatives.
URL:https://www.amcouncil.com.au/event/melbourne-asset-investment-planning-critical-success-factors-for-a-strategic-business-function/
LOCATION:Brightly Office\, Level 9\, 257 Collins Street\, Melbourne\, VIC\, 3000\, Australia
CATEGORIES:Melbourne Chapter Events
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DTSTART;TZID=Australia/Sydney:20260730T173000
DTEND;TZID=Australia/Sydney:20260730T190000
DTSTAMP:20260705T134229
CREATED:20260701T014923Z
LAST-MODIFIED:20260701T014923Z
UID:10610-1785432600-1785438000@www.amcouncil.com.au
SUMMARY:Sydney - AI in Action: Practical Applications for Asset Management Decision-Making
DESCRIPTION:Join the Sydney Chapter for an evening exploring practical applications of AI in asset management. Across three short presentations\, speakers will share how AI\, machine learning and computer vision are being applied to complex asset management challenges — from improving system understanding and decision-making under uncertainty\, to scaling inspection and condition assessment\, strengthening failure classification\, and supporting governed\, auditable analytics. This event will provide a practical look at how engineering-led AI can support better risk visibility\, data quality and asset management decisions. \nClick here to register\n  \nBuilding a Practical AI-Assisted Environment for Complex Asset Management Problems\nIn this presentation\, Dr Kevin Hang demonstrates how a structured\, engineering led approach to AI\, grounded in professional judgement\, validation\, and practical workflows\, can be applied to complex asset management challenges. Focusing on real world implementation rather than theory\, he showcases how AI operating within a secure local environment can improve system understanding\, enhance risk visibility\, and support more informed decision making under uncertainty. \nThe presentation draws on insights and outcomes from the successful completion of the 2025 Asset Management Council Research Scholarship. \n\n		\n			\n				\n			\n			\n		 \n		\n			Dr Kevin Hang is an Asset Life Cycle Manager with Sydney Trains\, a Chartered Professional Engineer (CPEng) in both Asset Management and Civil Engineering\, and a Certified Senior Practitioner in Asset Management (CSAM). He specialises in asset lifecycle optimisation\, data driven decision making\, and AI assisted analytics for transport infrastructure assets. Dr Hang has developed practical approaches that integrate engineering expertise\, machine learning\, probabilistic cost-benefit analysis\, and local data environments to support infrastructure investment decisions under uncertainty. His work focuses on transforming complex asset\, operational\, and environmental data into actionable insights that enhance asset performance\, resilience\, and long-term value.\n		\n			\n		\n\n\nML/AI Image Recognition for Asset Inspection and Condition Assessment\nThis session covers how Ausgrid is applying computer vision and AI to detect and assess defects from inspection imagery\, prioritise high-risk assets for early review\, and deliver consistent assessments at a scale. Trained on Ausgrid’s defect nuance and built on a reusable cloud-based AI architecture\, the capability extends beyond bushfire auditing to support broader asset inspection and condition assessment programs. The same foundation unlocks future use cases including identifying problematic asset inventory\, opportunistic analysis of historical photo archives\, transforming large volumes of visual data into structured\, actionable insights for asset management and network risk. \n\n		\n			\n				\n			\n			\n		 \n		\n			Lili Chen is a Network Digitisation Technical Lead with extensive experience delivering AI at scale across critical infrastructure\, building enterprise-grade AI systems that move well beyond proof-of-concept and into operational use. She specialises in translating innovative AI concepts into reliable\, enterprise-scale solutions that support real-world decision-making in operational environments. Combining technical depth with strong domain expertise\, her work spans computer vision for asset condition assessment across millions of drone images\, satellite and LiDAR-based asset monitoring\, predictive vegetation management\, vegetation maintenance optimisation\, and geospatial AI.\n		\n			\n		\n\n\nAI Assisted Notification Data Cleaning for Asset Failure Classification and Governance\nThis session covers how Ausgrid is applying AI\, NLP\, and rules-based governance to improve the quality and consistency of asset notification data. The capability interprets messy free-text descriptions\, Ausgrid-specific abbreviations\, and inconsistent failure tagging to recommend more accurate failure classifications\, assign confidence scores\, and route uncertain cases for SME review. Built with a governed feedback loop between Databricks processing and SharePoint-based SME review\, the solution converts AI outputs into maintained rules tables\, dictionaries\, and failure-tree updates\, ensuring the process remains explainable\, auditable\, and resilient even if AI models change over time. Beyond correcting individual records\, the approach helps identify recurring taxonomy issues\, failure-tree gaps\, and upstream data-capture improvements\, creating a scalable foundation for stronger asset analytics\, risk modelling\, and decision-making. \n\n		\n			\n				\n			\n			\n		 \n		\n			Xi Chen is a Technical Lead in Asset Modelling at Ausgrid\, specialising in asset risk modelling\, data-driven decision making\, and AI-assisted analytics for electricity network assets. She develops practical approaches that combine engineering knowledge\, statistical modelling\, NLP and LLM methods\, and governed data platforms to improve asset performance\, resilience\, and long-term investment planning. Her work focuses on turning complex asset\, failure\, and operational data into scalable\, actionable insights for risk modelling\, asset management\, and regulatory decision support.\n		\n			\n		\n  \nClick here to register
URL:https://www.amcouncil.com.au/event/sydney-ai-in-action-practical-applications-for-asset-management-decision-making/
LOCATION:Ausgrid Roden Cutler House\, 24-28 Campbell Street\, Sydney\, NSW\, 2000\, Australia
CATEGORIES:Chapter Events,Sydney Chapter Events
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