Emerson’s industrial reliability
23/03/2026
Emerson has announced the next evolution of its AspenTech Asset Performance Management (APM) portfolio. The latest release of Aspen Mtell provides a pathway for companies to drive immediate value and seamlessly scale from foundational asset health monitoring to best-in-class artificial intelligence (AI)-enabled failure prediction and continuous operational improvement. | ||
| Emerson aims to ensure rapid time-to-value and enterprise-scale reliability by accelerating agent deployment with AI-driven data selection Image courtesy of Emerson |
“The most successful enterprise reliability strategies are constantly improving,” said Heiko Claussen, Chief Technologist of Emerson’s Aspen Technology business. “Our heritage of deep domain expertise and AI makes maintenance strategies smarter and more actionable over time, without the complexity of traditional deployments and additional expert personnel requirements. Customers are maximising asset performance and achieving measurable business value at every stage of their reliability journey.”
The latest innovations in Aspen Mtell enable a proactive enterprise reliability programme that delivers continuous improvement.
Key capabilities and updates to Aspen Mtell include:
- Rapid scalability: industry- and asset-specific templates and market-leading analytics accelerate deployment of asset health monitoring across the enterprise, enabling quick return on investment (ROI) and a seamless transition to AI-driven prediction.
- Accelerated alert resolution: AI-powered insights automatically group and prioritise alerts based on severity, risk and historical data. Embedded failure mode and effects analysis prescribes corrective action, significantly streamlining risk resolution.
- Next-level operational reliability: direct connection with Emerson’s vibration monitoring solutions, AMS Machine Works and AMS Device Manager.
- Seamless enterprise integration: deliver actionable insights directly into existing enterprise resource planning workflows through deep integration with enterprise asset management systems.
