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Reliability Radio EP 378: Kendra DeKeyrel
reliability radio

Reliability Radio EP 378: Kendra DeKeyrel

Join Brendon Russ and IBM's Kendra DeKeyrel on Reliability Radio to explore the shift to Maximo MAS 9. Discover how dropping legacy customizations unlocks powerful tools like Asset Performance Management, mobile integration, and AI capabilities.

From Predictive Insight to Controlled Work: Building the AI-Enabled Utility Asset Enterprise

From Predictive Insight to Controlled Work: Building the AI-Enabled Utility Asset Enterprise

Utilities are under pressure to deliver safe, reliable, affordable and lower-carbon services while managing ageing networks, capital programmes, workforce constraints, cyber exposure and increasingly complex operating conditions.

AI can help utilities detect weak signals, predict failure risk, prioritize interventions and improve planning. But a prediction does not create value by itself. Value appears only when the insight reaches an accountable operational decision, becomes safe and executable work, and produces an outcome that can be measured.

Reliability Radio EP 377: John Craig
reliability radio

Reliability Radio EP 377: John Craig

In this Reliability Radio interview from TRC 2026, John from ABS explains why equipment data collection in CMMS systems often fails due to a lack of standardization. Discover how the proper definition of assets and nomenclature control enable cost-effective business decisions and facilitate the work of maintenance personnel.

MultiSensor AI Launches Solar Reflection Analysis to Reduce False Thermal Alerts in Solar Monitoring

MultiSensor AI Launches Solar Reflection Analysis to Reduce False Thermal Alerts in Solar Monitoring

MultiSensor AI Holdings, Inc. (NASDAQ: MSAI) ("MultiSensor AI," "MSAI," or the "Company"), a pioneer in early threat detection and condition-based monitoring, today launched Solar Reflection Analysis. The new capability within MSAI's Solar Performance Monitoring helps reliability and maintenance teams at solar-equipped warehouses, distribution facilities, courier networks, data centers and other multi-site environments distinguish thermal alerts likely caused by sun reflection from events that may indicate an electrical or mechanical fault requiring investigation.

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Beyond Dispatch: How AI Can Turn Field Service into a Reliability Decision System

Beyond Dispatch: How AI Can Turn Field Service into a Reliability Decision System

Field service is often discussed as a scheduling or workforce-productivity challenge. Organizations invest in mobile applications, dispatch engines, route optimization and digital work orders expecting that faster coordination will automatically produce better outcomes.

Why On-Site Reporting Is Transforming Thermal Imaging Inspections

Why On-Site Reporting Is Transforming Thermal Imaging Inspections

The most valuable moment in an electrical thermal imaging survey is not when the image is captured. It is the moment a finding is raised while the panel is still open, the load is still on, and someone with authority is still on site. Miss that window and a finding that could have been actioned that afternoon becomes a line in a document that lands days later, competing for attention with everything else in an inbox.

MentorAPM adds thermal imaging to MentorLens® through Teledyne FLIR collaboration

MentorAPM adds thermal imaging to MentorLens® through Teledyne FLIR collaboration

MentorAPM, an end-to-end asset lifecycle and work management solutions provider and industry leader in AI-powered condition assessments, is expanding its asset intelligence capabilities with thermal imaging through a collaboration with Teledyne FLIR. The integration of the Flir iXX-Series with MentorLens adds thermal data to the condition assessment process, giving asset-intensive organizations another source of information to better understand physical assets and support maintenance, reliability and asset management decisions. The new capabilities will be showcased at the Society for Maintenance & Reliability Professionals (SMRP) annual conference, Sept. 28-Oct. 1 in Raleigh, NC.

ReliabilityRadio EP 376: Mike Bodon
reliability radio

ReliabilityRadio EP 376: Mike Bodon

On Reliability Radio, Jonathan Guiney and Brendon Russ talk with Mike Bodon of Aquas about HVAC reliability, coil fouling detection, condition-based maintenance, and AI-powered performance monitoring. Learn how facilities can improve asset reliability, reduce energy waste, and extend equipment life through data-driven maintenance strategies.

The Frontline Partner - Empowering Operators to Lead Your Reliability Program

The Frontline Partner - Empowering Operators to Lead Your Reliability Program

The "Data Collection Paradox" One of the most frequent complaints I hear from operator communities in industries ranging from oil and gas to power generation is simple but stinging: "I spend hours recording these readings, but nobody ever looks at them. Why am I doing this?"

Siemens launches Meet at the Machine initiative for next-level CNC productivity

Siemens launches Meet at the Machine initiative for next-level CNC productivity

Siemens today announced Meet at the Machine, a new initiative designed to bring together machine builders, software and automation technologies to accelerate innovation across the machine tool industry and help manufacturers achieve productivity faster.

ReliabilityRadio EP 375: Robert Skerik
reliability radio

ReliabilityRadio EP 375: Robert Skerik

In this Reliability Radio interview from TRC 2026, Robert Skerik explains why standard vibration analysis often misses the most critical machinery faults. Learn why high sampling rates are the secret to catching bearing, gear, lubrication, and cavitation failures before they cause unplanned downtime.

The Detection Latency Problem - Why Your Alerts Are Telling You What You Already Know
reliability webinars

The Detection Latency Problem - Why Your Alerts Are Telling You What You Already Know

In this Reliability Web webinar, Luke Rycelow from Multisensor AI explains why effective condition monitoring requires minimizing detection latency rather than just adding random sensors. Learn how to prioritize asset criticality for better maintenance ROI.

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