COSOL Expert Insights

ENSCO has adopted COSOL’s EAMaaS solution, powered by IBM Maximo, to enhance rail asset management for the FRA. The implementation streamlines maintenance operations, introduces mobile and self-service capabilities, and positions ENSCO for future innovation with advanced analytics and IoT.

COSOL brought together leaders across mining, transport, and utilities to discuss AI asset management, practical adoption strategies, and overcoming challenges for real business outcomes.

Transport asset management leaders share insights on AI initiatives, challenges, and opportunities reshaping the industry. From smarter maintenance and workforce optimisation to governance and cultural change, leaders reveal how transport organisations can build AI maturity safely and strategically.

AI in asset management is evolving fast, unlocking smarter decisions, predictive planning, and real operational impact across industries.

Utility experts share insights on AI initiatives, challenges, and opportunities across the energy sector, from prediction models to governance.

Mining and energy experts share insights on AI initiatives, challenges, and opportunities. From cultural change to forecasting and regulatory hurdles, leaders discuss how AI is reshaping safety, efficiency, and workforce transformation across asset-centric industries.

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.

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.

Sam Crewe (COSOL) and Sunil Rodrigues (CITIC Pacific Mining) share how digital work management transforms safety, reliability, and performance.

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.

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.

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.