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DTSTART;TZID=Australia/Melbourne:20261006T130000
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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
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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DTSTART;TZID=Australia/Melbourne:20261117T130000
DTEND;TZID=Australia/Melbourne:20261117T133000
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CREATED:20260811T053103Z
LAST-MODIFIED:20260811T053103Z
UID:10860-1794920400-1794922200@www.amcouncil.com.au
SUMMARY:Webinar - Monash University's Asset Data Capture Project
DESCRIPTION:This presentation will focus on how Monash University’s Buildings and Property has delivered a multistage project to strengthen asset information governance and unify fragmented building services asset registers into a single\, standards-based campus-wide register. \nGuided by the Victorian Department of Treasury and Finance (DTF) Asset Management Accountability Framework (AMAF) requirements\, the project established clear asset information requirements (guardrails)\, standardised data models\, and consistent processes for internal teams and external service providers. \nImplementation was supported through targeted training\, pilot programs\, and streamlined data acquisition and consolidation activities. The resulting asset register provides a reliable foundation for whole-of-life\, evidence-based decision-making\, enhancing compliance\, risk management\, planning capability\, and overall portfolio performance management. \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			Jasreen Dhillon is a Senior Manager\, Strategic Asset Planning and Reporting\, with Monash University.\n		\n			\n		\n 
URL:https://www.amcouncil.com.au/event/webinar-monash-universitys-asset-data-capture-project/
LOCATION:Online – Register to be sent your link
CATEGORIES:Data,Webinar
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