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Why Internal Benchmarking Beats External Benchmarking Every Time (And Why You Need Both)
Discover why benchmarking maintenance teams internally delivers faster results than industry comparisons, and how combining both approaches builds a compelling case for improvement.
When Mining Meets Energy: Getting Asset Management Right in the Diversification Play
How Australian mining organisations can extend asset management capability into energy assets, covering operational readiness, maintenance strategy, data architecture, and workforce development for the mining-to-energy diversification.
ISO 55001 Compliance: Does Your AI Strategy Measure Up?
How AI creates compliance risks under ISO 55001 and which clauses to review before implementation. Covers documentation, operational control, monitoring requirements and a practical checklist for certified organisations.
Poll Results: Skills Top the List as the Biggest Barrier to AI in Asset Management
Skills topped our LinkedIn poll as the #1 barrier to AI adoption in asset management at 50%, ahead of data quality and leadership buy in. Here is what the results mean and three practical steps to close the gap.
Water Utilities: The Untapped Potential of AI for Pipe Network Management
Australian water utilities manage over 139,000 km of aging mains and thousands of kilometres of process piping. Discover how AI, Monte Carlo simulation, and bow tie risk assessment are transforming pipe failure prediction and risk-based asset management for water infrastructure.
The Hidden Cost of Waiting: Why Delaying AI Investment Compounds Risk
Delaying AI investment in asset management isn't free—it compounds. Learn the four hidden costs of waiting and how to prioritise where to start.
Transforming Asset Data from Chaos to Clarity at GeelongPort
How SAS-AM helped GeelongPort transform a fragmented Maximo asset hierarchy into a consistent, scalable foundation for advanced asset management.
From Document Deluge to Decision-Ready: How AI Transformed a Maturity Assessment
How SAS-AM used AI and NLP to analyse thousands of documents during a transport operator's maturity assessment, saving months of consulting time while improving insight quality.
The 5 Signs Your Organisation Is Ready for AI-Powered Asset Management
Most organisations aren't as ready for AI as they think. Here are five honest signals that your asset management function is prepared to make AI work—and what to do if you're not there yet.
What NVIDIA's CES 2026 Announcements Actually Mean for Asset Management
NVIDIA's CES 2026 GPU announcements aren't just for gamers. Here's what RTX 50-series and DLSS 4.5 mean for digital twins, predictive maintenance, and real-time asset analytics.
Why 2026 is the Year of AI in Asset Management
Discover why 2026 is the inflection point for AI in asset management. Learn what's driving adoption, what AI-powered maintenance actually means, and how to assess your organisation's readiness.
Edge vs Cloud vs Hybrid: Choosing the Right AI Deployment for Asset Management
A practical framework for deciding where your asset intelligence should run - and why the answer is rarely straightforward.
TRANSFORMING OUR COMMUNITY THROUGH MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE
Our industry experts can help you optimize your asset management strategy for maximum efficiency.
