From duplicate records to inspection data black holes, unreliable Maximo data is costing asset-intensive industries time and trust. COSOL’s Graham Drinkwater breaks down why data chaos happens and shares practical solutions, including how the COSOL Maximo Data Portal helps you regain control with confidence.
Staged approach to building an AI-infused organisation: Insights for leaders in asset centric industries
AI offers major potential for asset-intensive organisations, but adopting it without a clear strategy can do more harm than good. COSOL CEO Scott McGowan and IBM’s David Small outline why trust, data quality and a staged, purpose-led approach are essential for AI success. Learn why “walk before you run” is more than just a metaphor when it comes to AI in asset management.
Digitising Work Management: A Client’s Perspective To Navigating Change
Sam Crewe (COSOL) and Sunil Rodrigues (CITIC Pacific Mining) share how digital work management transforms safety, reliability, and performance.
How Machine Learning is Transforming Asset Maintenance with Predictive Monitoring
In this article, Adam Sharp, Service Delivery Director and Co-Founder of Toustone, A COSOL Company, explores how machine learning is already transforming asset maintenance. While the AI spotlight is often on what’s next, he breaks down real-world ML applications delivering measurable gains today – from predictive monitoring to smarter, safer inspections.
The AI Advantage: Optimising Maintenance Spend Without Compromising Reliability
With tightening budgets and ageing infrastructure, organisations face growing pressure to reduce maintenance costs without risking reliability. This article explores how AI unlocks smarter, data-led decisions that balance performance, cost, and timing, without overhauling existing systems.
When Is It Time To Replace? AI And Data-Driven Decision Making For Ageing Assets
Knowing when to replace ageing assets isn’t always straightforward. Relying on age or cost alone can lead to costly missteps. With AI, digital twins and data-driven insights, organisations can predict failure, plan replacements strategically, and support capital decisions with greater confidence.
Transport for NSW Workshop – Navigating Data Challenges in Transport with Current and Emerging Solutions
We presented to a cross functional team at Transport for NSW on data, advanced analytics, predictive analytics – What role do these play in current and future business goals.
Bridging the Divide: How EAM Software Unlocks Operational Excellence in Transportation
Learn how transportation companies in the U.S. are using Maximo to improve efficiency, reduce downtime, enhance safety, and optimize customer service.
Predicting the Unpredictable: How AI Helps Prevent Critical Asset Failures Before They Happen
Discover how AI is Predicting the Unpredictable – helping organisations prevent critical asset failures before they happen through real-time monitoring, predictive analytics, and smarter maintenance strategies.
Australian Transport Operator Reduces Carbon Emissions Without Reducing Ride Times
An Australian rail operator partnered with COSOL to deploy sustainability analytics, using predictive insights to reduce emissions, improve energy forecasting, and boost efficiency without impacting customer experience.