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Data Utilization in Applied Reliability Engineering

In today’s technological era, data science is playing a critical role for making decisions and supporting management and engineers to achieve the optimal solutions based on technical and financial analysis. The data can be defined as facts or numbers that is usually collected, analyzed and utilized to make useful decisions. On the other hand, information is knowledge that is obtained from data through analysis and studies. With newly developed high tech and IT solutions such as IR4.0, IoT and other applications, data is coming more important and useful in reliability engineering applications and science.

How SAP Maintenance and Reliability Teams can Make Their Business Value Visible

Talk to a maintenance lead at any enterprise and the same theme comes up: they know their team generates real value, but they struggle to make it visible in numbers the CFO trusts. The operational story the data tells is not what actually happens on site. Notifications come in half-filled, time bookings get rounded to the hour, schedules live in Excel and reconcile to SAP once a week, and downtime is not assigned to the correct entity. That gap between reality and SAP (the world's most popular EAM platform) is what makes maintenance look like a cost line in the budget even when it is carrying revenue, reliability, and labor productivity.

Water Industry Reliability Forum: Building Resilience in Water Utilities

Resilience is easy to talk about and hard to deliver. For water and wastewater utilities, it means sustaining safe, reliable service despite aging assets, workforce transitions, regulatory pressure, and increasing operational risk. That is exactly what the Water Industry Reliability Forum set out to unpack in a practical way during the Reliability Conference, in a full-day workshop co-hosted in collaboration with MaxGrip and Reliabilityweb. This is a recap of those sessions and discussions with the audience.

Closed Loop Asset Performance Management Turning Insights into Reliability Outcomes

Asset-intensive organizations continue to be under increasing pressure to improve reliability, reduce operating costs, extend asset life, and make better use of capital. Utilities are modernizing grids, oil and gas companies are managing large, geographically spread assets while dealing with ageing infrastructure and ongoing geopolitical tensions, manufacturers are protecting production capacity, and data centers are becoming a critical asset class requiring high availability. In response, organizations have invested over time in EAM, GIS, SCADA, historians, sensors, mobility, analytics, and digital platforms.

reliability webinars

Extend Maximo Beyond Assets Unlock The Value Of Buildings, Leases, & Space

Buildings are no longer passive assets—they’re data-driven systems. Discover how IBM Maximo Real Estate & Facilities brings together lease management, space optimization, and AI-powered insights to help organizations reduce risk, improve utilization, and make smarter decisions across the full real estate lifecycle.

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IGS launches Rovex™ – next-generation robotic cleaning technology for fired heater efficiency

Data Utilization in Applied Reliability Engineering

Compass Wire Cloth Showcases Round Vibratory Screening Units as Core Offering for High-Performance, Cost-Effective Separation

How SAP Maintenance and Reliability Teams can Make Their Business Value Visible

Water Industry Reliability Forum: Building Resilience in Water Utilities

Reliability Engineer

Asset Management Systems Manager

Closed Loop Asset Performance Management Turning Insights into Reliability Outcomes

The Shift from Analytics to Intelligence Takes Center Stage at Seeq Conneqt North America 2026

Extend Maximo Beyond Assets Unlock The Value Of Buildings, Leases, & Space

Autodesk to Acquire MaintainX, Advancing Unified Platform in Operations

IFS Launches IFS Zero, an agentic Emissions Operating System for Asset-Intensive Industries