Where theory Meets reality

How ML models refine FMEA probabilities using real operating data. A practical framework for integrating AI outputs into RCM decision logic.

Three questions dominated every conversation at Mainstream Summit Perth 2026. Here is what they reveal about where the industry actually stands on AI.

Criticality scoring is broken. Shane Scriven argues the better question is not which asset ranks highest, but how each asset is critical and to whom.

SAS-AM Managing Director Shane Scriven presented on edge federated ML at the Mainstream Summit 2026 in Perth, addressing data silos, latency, and privacy barriers in asset management.

A practical playbook for public sector asset managers: how to build evidence-based investment cases that survive treasury scrutiny, and what to do when the answer is still no.

Best practices for maintaining high-quality data in IBM Maximo. Covers asset hierarchy standards, failure code consistency, PM program alignment, data governance frameworks, and practical tips for keeping your Maximo data analytics-ready.

Everything Australian asset owners need to know about ISO 55001 consulting. Covers what consultants actually do, gap analysis process, certification preparation, common findings, costs and timelines, and how to choose the right consulting partner.

A practical guide to Operational Readiness and Assurance (OR&A) for infrastructure projects. Covers the OR&A framework, key readiness dimensions, common failure points, and how to ensure new assets are truly ready for service.

A practical guide to asset condition rating methodologies. Covers how to design standardised rating scales, distinguish between simple and complex assets, implement consistent field assessments, and use condition data for renewal planning.

A comprehensive guide to maintenance management maturity frameworks. Covers the five maturity levels, assessment methodologies, how to benchmark your maintenance capability, and practical strategies for progressing from reactive to optimised maintenance.

An accessible guide to the Global Forum on Maintenance and Asset Management (GFMAM). Covers the 40 Subjects, the Asset Management Landscape, how GFMAM relates to ISO 55001, and why it matters for Australian asset owners.

A practical guide to implementing machine learning for predictive maintenance. Covers the algorithms that work, data requirements, common pitfalls, and a step-by-step implementation framework for Australian asset-intensive organisations.