Most articles about IoT-enabled maintenance focus on the win: a sensor catches a failure early, downtime gets avoided, everyone’s happy. Fewer people write about what a plant looks like eighteen months in, after the dashboards have filled up and technicians have quietly started ignoring half the alerts on them.
It’s worth talking about, because it’s common, and because it’s avoidable.
On Industry Trends & Insights, Bob Francis speaks with Ben Dutro of California Water Service and Tacoma Zach of Mentor APM about solving one of asset management’s biggest challenges: poor asset data. Learn how AI-enabled data collection, condition assessments, thermography, and Maximo integration are helping utilities improve reliability, planning, and decision-making.
3rd August 2026, London, UK - Nineteen Group announces the acquisition of Space-Comm Expo Europe, an annual exhibition and conference for the global space community, from Lunar Ridge Ventures. The deal marks a significant investment in one of the world's most strategically important growth sectors.
When reliability, maintenance and asset management professionals gather at the Gaylord Opryland in Nashville this August 17–20, they won't just be trading notes with peers — they'll be learning directly from the people running some of the most complex, high-stakes operations on the planet. This year's MaximoWorld speaker roster spans space exploration, national defense, global finance, healthcare systems, and the fast-food counter down the street, proof that asset reliability is a universal language.
A weekly collection of recommended articles and videos to boost your reliability journey. Right in your inbox
PARK RIDGE, Illinois, USA (July 28, 2026) – The Society of Tribologists and Lubrication Engineers (STLE) — the premier technical society serving the needs of the tribology and lubrication engineering business sector — is pleased to announce the release of its new free digital special report, Building the Foundation for Artificial Intelligence in Tribology.
What happens when AI moves beyond predictions and starts reshaping how reliability teams work? At TRC 2026, C3 AI’s Graham Provo shares how AI-driven anomaly detection, workflow automation, and asset performance insights are helping organizations turn data into faster, smarter maintenance decisions.
Bringing new assets online is about more than loading records into a CMMS. In this Maximo World webinar, Bob Francis and Ed Stanek explore how asset onboarding, data quality, criticality analysis, spare parts planning, and reliability strategies can determine operational success for years to come.
Modern distribution centers, parcel hubs, and airport baggage operations have become highly automated and highly interdependent. That interdependence is a double-edged sword: it drives efficiency, but it also means a single failed asset—a conveyor, a sorter, a control cabinet—can bring an entire operation to a halt. Product backs up behind the failure point, downstream teams run out of work, and in a 24/7 environment, lost throughput isn't recovered later. It's simply gone.
On Industry Trends & Insights, Bob Francis speaks with Malavika Tohani of Verdantix about industrial AI adoption, data governance, workforce trust, and asset lifecycle management. Learn why organizations are focusing on scalable AI use cases, contextualized data, and reliability-driven digital transformation.
Many reliability professionals have encountered a frustrating situation. A vibration alarm appears on a critical machine, maintenance personnel begin investigating a potential fault, and days later the machine is found to be healthy. The elevated readings were caused not by equipment degradation but by changing operating conditions. The data was correct. The diagnosis was not.
Manufacturing is being rebuilt at record pace, with more than a trillion dollars committed to new factories, yet the skilled people needed to run them are in increasingly short supply. Deloitte and the Manufacturing Institute project that 2.1 million manufacturing jobs will go unfilled by 2030, at a cost of around a trillion dollars in lost output. Today, UK-listed IntelliAM AI launches the technology built to make scarce expertise go much further: an end-to-end industrial intelligence platform, developed alongside global engineering leader SKF and already used by half of the world's top 12 food and drink manufacturers. In live trials it has delivered a 215% improvement in mean-time-between-failures at a single site of a major European dairy leader over a 12-month period.
Since then, we've operated as "a Siemens company" while continuing to build on more than 25 years of experience helping thousands of organizations reduce costs, improve decision-making, and maximize asset resilience.
Today, we're taking the next step in that journey by officially becoming Siemens Asset Management Software.
At first glance, a second brand change in four years might seem unexpected. But this transition isn't about changing who we are — it's about expanding what's possible for any organization looking to transform their asset maintenance and operations.