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X-WR-CALDESC:Events for Asset Management Council
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DTSTART;TZID=Australia/Melbourne:20261006T130000
DTEND;TZID=Australia/Melbourne:20261006T133000
DTSTAMP:20260905T163835
CREATED:20260811T052204Z
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UID:10853-1791291600-1791293400@www.amcouncil.com.au
SUMMARY:Webinar - SA Power Network's High-resolution Cost-effective AI Model for Lightning and Vegetation Risks in Power Grids (AM in Action 5 of 9)
DESCRIPTION:This presentation will focus on a machine learning framework developed to quantify the probability of asset failure caused by lightning and vegetation. By integrating geospatial datasets and satellite remote sensing sources\, the model produces dynamic risk profiles and provides the means for SA Power Networks to move towards more predictive risk mitigation. \nKey aspects include: \n\nGranular Precision: Assess individual asset risk by fusing crowdsourced and satellite data.\nScalable Design: Easily extends to new failure modes and data sources with minimal incremental cost.\nActionable Impact: Optimises maintenance and targets capital investment using frequent 16-day monitoring cycles.\n\nPart of the Asset Management in Action Webinar Series – showcasing submissions from the 2026 Excellence Awards. \nClick here to register\n  \n\n		\n			\n				\n			\n			\n		 \n		\n			Artur Sokolovsky works across machine learning\, data engineering and data strategy\, contributing to enterprise ML initiatives and helping to build and maintain Python and Snowflake pipelines for Asset Risk Monetisation\, Computer Vision and internal LLM integrations. He has supported the deployment of a dedicated Snowflake Datalab environment and helped establish and facilitate research collaborations with international academic institutions. Artur also works closely with engineering and business teams to encourage internal data adoption and strengthen cross-functional alignment. Beyond his technical work\, Artur is actively involved in workplace culture and mentorship initiatives\, including contributing to internal peer-recognition programs and assisting with Computer Vision technical challenges for high school STEM outreach.
URL:https://www.amcouncil.com.au/event/webinar-sa-power-networks-high-resolution-cost-effective-ai-model-for-lightning-and-vegetation-risks-in-power-grids/
LOCATION:Online – Register to be sent your link
CATEGORIES:Power,Webinar
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BEGIN:VEVENT
DTSTART;TZID=Australia/Melbourne:20261007T120000
DTEND;TZID=Australia/Melbourne:20261007T130000
DTSTAMP:20260905T163835
CREATED:20260901T074347Z
LAST-MODIFIED:20260901T084729Z
UID:10989-1791374400-1791378000@www.amcouncil.com.au
SUMMARY:Webinar - Life Data Analysis for Better Asset Decisions (MRiAM 3 of 5)
DESCRIPTION:Life Data Analysis for Better Asset Decisions –  Turning Failure Data into Reliability Insights \nUnderstanding equipment reliability requires more than tracking failures. This webinar introduces life data analysis techniques that help organisations quantify reliability performance\, predict future asset behaviour\, and make informed maintenance and replacement decisions. Participants will gain insights into how reliability data can support evidence-based asset management strategies. \nPresented by Hongan Li\, Asset Studio \nPart three of the five-part Reliability Engineering Excellence webinar series. \nClick here to register\nThis webinar can be attended as a standalone session\, or join us for the full series as we progress from reliability fundamentals through to predictive maintenance and AI/ML. Register separately for each session you would like to attend.
URL:https://www.amcouncil.com.au/event/webinar-life-data-analysis-for-better-asset-decisions/
LOCATION:Online – Register to be sent your link
CATEGORIES:Maintenance,Webinar
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BEGIN:VEVENT
DTSTART;TZID=Australia/Melbourne:20261027T130000
DTEND;TZID=Australia/Melbourne:20261027T133000
DTSTAMP:20260905T163835
CREATED:20260811T052514Z
LAST-MODIFIED:20260901T083931Z
UID:10856-1793106000-1793107800@www.amcouncil.com.au
SUMMARY:Webinar - Embedding Sustainability into Water Corporation's Asset Management Practices (AM in Action 6 of 9)
DESCRIPTION:This presentation will focus on how Water Corporation has embedded sustainability into asset management decision-making throughout the asset lifecycle by integrating sustainability requirements across project planning\, design and delivery using a new Sustainable Assets Guideline and Option Assessment tool. \nThe sustainability outcomes outlined in the guideline are aligned to Corporate and Asset Management Objectives\, ESG Strategy and the Infrastructure Sustainability (IS) Rating Scheme. This approach integrates early materiality assessment\, option assessment\, risk/opportunity management with measurable targets which is now applied to all Water Corporation major projects. \nThis approach has resulted in quadruple bottom line outcomes and improved decision quality delivering enhanced sustainability value to our customers and communities. \nPart of the Asset Management in Action Webinar Series – showcasing submissions from the 2026 Excellence Awards. \nClick here to register\n  \n\n		\n			\n				\n			\n			\n		 \n		\n			Georgina Hurst is the Principal – Performance and Forecasting in the Asset Strategy Business Unit for Water Corporation.
URL:https://www.amcouncil.com.au/event/webinar-embedding-sustainability-into-water-corporations-asset-management-practices/
LOCATION:Online – Register to be sent your link
CATEGORIES:Webinar
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BEGIN:VEVENT
DTSTART;TZID=Australia/Melbourne:20261028T120000
DTEND;TZID=Australia/Melbourne:20261028T130000
DTSTAMP:20260905T163835
CREATED:20260901T074514Z
LAST-MODIFIED:20260901T084644Z
UID:10991-1793188800-1793192400@www.amcouncil.com.au
SUMMARY:Webinar - CMMS and FRACAS: Unlocking the Value of Reliability Data (MRiAM 4 of 5)
DESCRIPTION:CMMS and FRACAS – Unlocking the Value of Reliability Data – Creating the Information Foundation for AI and Predictive Maintenance \nMany organisations focus on advanced analytics while overlooking the importance of data quality and information structure. This session examines how to configure and utilise CMMS and FRACAS systems to capture meaningful reliability information\, support effective analysis\, and enable enhanced data mining. The webinar highlights why a robust information foundation is a critical prerequisite for successful AI/ML and predictive maintenance programs. \nPresented by Jitesh Patel\, Maintenance & Reliability in Asset Management Special Interest Group\, Asset Management Council \nPart four of the five-part Reliability Engineering Excellence webinar series. \nClick here to register\nThis webinar can be attended as a standalone session\, or join us for the full series as we progress from reliability fundamentals through to predictive maintenance and AI/ML. Register separately for each session you would like to attend.
URL:https://www.amcouncil.com.au/event/webinar-cmms-and-fracas-unlocking-the-value-of-reliability-data/
LOCATION:Online – Register to be sent your link
CATEGORIES:Maintenance,Webinar
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