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The RELIABILITY Conference® 2026
MaximoWorld 2026
International Maintenance Conference 2026
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Reliability Radio
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?
Reliability Radio EP 350 John Dang - SAP - TRC25
Asset Management

Reliability Radio EP 350 John Dang - SAP - TRC25

How do you manage 50,000+ assets while fulfilling a mission to employ people with significant disabilities? John Dang of Tessara joins us to share how a solid functional game plan and accessible technology can drive reliability success in even the most complex environments.

Reliability Radio EP 349 Jim Carrel - Forum Reliability - TRC25
reliability radio

Reliability Radio EP 349 Jim Carrel - Forum Reliability - TRC25

Are you guilty of "Reliability Word Salad"? Jim Carrel joins us at TRC25 to explain why using buzzwords without understanding the fundamentals is hurting the industry. We discuss the real meaning of RCM, the importance of coachability, and why you should never give up on the journey to reliability excellence.

Reliability Radio EP 348 Jack Ryan - JLL - TRC25
reliability radio

Reliability Radio EP 348 Jack Ryan - JLL - TRC25

They discuss the critical need for persistence in asset validation, why reliability is a never-ending journey, and how to handle skepticism in the field. Tune in for career advice, the reality of AI, and why you should never put a "horse slide" in your presentation.

Reliability Radio EP 347 Fabrice Brion - I-Care - TRC25
reliability radio

Reliability Radio EP 347 Fabrice Brion - I-Care - TRC25

Is AI coming to take your job, or save it? Fabrice Gray of I-care joins Reliability Radio to discuss how bottom-up technology strategies can combat the "Silver Tsunami" and workforce shortages. Learn why the future of maintenance looks less like a traditional factory and more like a Formula 1 pit crew, where AI turns raw data into surgical precision.

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Reliability Radio EP 346: THE GLUG: WHY YOU'RE OVERWHELMED - Bryce Steffens - JLL
reliability radio

Reliability Radio EP 346: THE GLUG: WHY YOU'RE OVERWHELMED - Bryce Steffens - JLL

Feeling overwhelmed by constant demands? Bryce Steffens (JLL) reveals the "Glug Effect"—and how to stop it. Learn his unique strategy: eliminate your own job by documenting tacit knowledge. This not only prepares you for technology shifts but frees up time for passionate work and dramatically improves team reliability.

Reliability Radio EP 345: HIGH STAKES UPTIME Michael Bigelow - Seattle Children's Hospital
reliability radio

Reliability Radio EP 345: HIGH STAKES UPTIME Michael Bigelow - Seattle Children's Hospital

On this episode of Reliability Radio, hosts Jonathan Guiney and Brendan Russ welcome Michael Bigelow, Systems Engineering, Energy and Water Efficiency lead at Seattle Children’s Hospital, to discuss the extreme measures taken to ensure the reliability of critical assets, specifically patient transport elevators.

Reliability Radio EP 344: IS YOUR HAND CALIBRATED? Matt Vilardebo - JLL
reliability radio

Reliability Radio EP 344: IS YOUR HAND CALIBRATED? Matt Vilardebo - JLL

On Reliability Radio, Hosts Jonathan Guiney and Brendon Russ interview JLL's Matt Vilardebo about his four-decade career in reliability. Hear his unique perspective on why organizations still resist proactive maintenance, the arrogance that leads to catastrophic failures, and the challenges of integrating predictive data into a formal work order system.

Reliability Radio EP 343: A HUMAN MUST BE IN THE LOOP Bill Kilbey - Waites
reliability radio

Reliability Radio EP 343: A HUMAN MUST BE IN THE LOOP Bill Kilbey - Waites

AI is mentioned 43 times on earnings calls, but is it the answer? Bill Kilby reveals that even with 5 billion sensor readings processed daily, Weight Sensor Technology insists on a human in the loop. Learn why analyst experience is irreplaceable, and how to harness AI without outsourcing your critical thinking.

Reliability Radio EP 342: THE AI EASY BUTTON MYTH Candi Robison - Ultimo
reliability radio

Reliability Radio EP 342: THE AI EASY BUTTON MYTH Candi Robison - Ultimo

AI is everywhere, but it's not an "easy button." Candi Robinson reveals why 20 years of bad data and printing work orders will derail your AI strategy. Learn the foundational steps you must take to accelerate your time-to-value and transform your business before the technology works for you.

Reliability Radio EP 341: THE 70% FAILURE TRAP Allen Rienstra - SDT Ultrasound
Asset Condition Management

Reliability Radio EP 341: THE 70% FAILURE TRAP Allen Rienstra - SDT Ultrasound

Do you have an ultrasonic tool collecting dust in a closet? Allen Rienstra reveals why 70% of new condition monitoring programs fail: they skip continuous training. Learn the crucial difference between certification and implementation training and discover why ultrasound owns the apex of the P-F curve.

Reliability Radio EP 340: THE VIBRATION LIE - Robert Skeirik
reliability radio

Reliability Radio EP 340: THE VIBRATION LIE - Robert Skeirik

Maximo® Predict is great, but here's the truth: standard wireless vibration fails to detect the #1 cause of machine failure. Robert Skeirik, a vibration expert with 13 patents, reveals why "overall" readings miss rolling element defects and how i-care uses a multi-parameter sensor to give you a true, actionable timeline.

Reliability Radio EP 339: THE 'MUST TO DUST' SECRET, Jon Mortensen - IFS
reliability radio

Reliability Radio EP 339: THE 'MUST TO DUST' SECRET, Jon Mortensen - IFS

Jon Mortensen from IFS discusses the end-to-end Asset Lifecycle Management (ALM) journey. Learn how their Asset Investment Planning (AIP) solution optimizes constrained capital over 20 years and how a pragmatic 'Industrial AI' approach automates tedious busywork and prepares the enterprise for the next phase: AI Agents.

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