Reliability Radio is a dedicated podcast and media platform that features thought leaders, experts, and innovators in the fields of reliability, maintenance, and asset management. Hosted by Reliabilityweb, it shares real-world success stories, emerging technologies, and best practices to help professionals enhance the reliability and performance of their assets. Interested in sponsoring an interview?
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.
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.
Join the Reliability Radio crew and Interloc's Aaron at the 2026 TRC event. They cover Maximo tools like EdgeSync, and explain why best practices arise from experience, not rigid rules. Discover why expert partners are crucial as AI fills the gap left by retiring workers.
On Reliability Radio, Jonathan Guiney and Brendon Russ speak with Carlos Gonzalez of Remsoft about MRO inventory optimization, spare parts governance, lead-time accuracy, item master cleanup, and inventory criticality. Learn how better inventory data and decision-making can reduce costs, improve availability, and support business continuity.
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At TRC 2026, Brendon Russ speaks with Dan Anderson of TRM about reliability culture, ERP and EAM implementations, data governance, and executive sponsorship. Learn why maintenance professionals need a voice in technology decisions and how stronger partnerships between IT, operations, and maintenance improve business outcomes.
On Industry Trends & Insights, Bob Francis speaks with Mark LaPlante of Octave about ISO 55000, asset management standards, AI-enabled business value analysis, and the importance of linking asset performance to financial outcomes. Learn how organizations can build stronger business cases and drive executive support for asset management initiatives.
On Reliability Radio, Brendon Russ talks with Joe Lee of Aidentyx about moving beyond AI hype and applying AI to real maintenance challenges. Learn how AI-powered analytics, workflow automation, knowledge management, and root cause analysis can help reliability teams reduce repair times and improve operational performance.
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.
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.
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.
What if the biggest reliability gains aren’t coming from new technology, but from getting lubrication right? AssetWatch experts discuss why education, culture, and proper lubrication practices remain some of the most overlooked drivers of asset reliability—and how simple changes can deliver measurable results.
Can AI deliver value if your asset data isn’t trustworthy? In this episode, Bob Francis sits down with Joe Nichols from Octave to explore how knowledge graphs, data quality, AI-driven classification, and connected industrial intelligence are reshaping asset management and reliability.