Russ Parrish, Principal and Owner at RPC, is a well-known industry expert and sought after presenter who has spoken over twenty times during the past five years.  Conferences where he has presented include The IBM TechXchange, The Reliability Conference (TRC), The ARC Industry Leadership Forum, Maximo World, The International Maintenance Conference (IMC), and others.

Upcoming Speaking Engagements

February 23-25, 2026

12th Edition Chem Petrochem and Refinery Asset Reliability - Houston, TX

Monday, February 23rd 10am

Copresenter: Michael Guns, Jr.

https://www.marcusevans.com/conferences/chemasset

Assess where you are on your maintenance and reliability journey and examine how to develop and implement a strategic roadmap to improve

Workshop Outcomes:

• Evaluate your organization’s reliability maturity using structured assessment frameworks
• Define strategic goals tied to business risk, asset criticality, and long-term performance outcomes
• Align leadership, operations, and maintenance teams around a shared reliability vision
• Create a roadmap for adopting AI, IoT, and condition monitoring based on organizational readiness
• Embed continuous improvement by linking asset strategy to measurable KPIs and cultural change initiatives
• Manage communications and change management

Why you should attend:
     Our goal should be to do the right work, at the right time, at the right cost, and with the acceptable risk. Most companies perform at least 50% reactive verses proactive work. World class is greater than 85% proactive. Why this is important is that Society of Maintenance and Reliability Professionals (SMRP) benchmarking has determined that reactive work can cost 3X as much and take 4X-10X longer than proactive work. So, by the way we do maintenance we negatively affect the bottom line and overall efficiency. In addition, a robust maintenance and reliability program improves the following deliverables: safety performance, asset performance, sustainability/energy savings, data integrity, risk reduction, decision making, operational performance, improved workforce engagement and knowledge, and more.
     Most of us do not to create something from a blank canvas. We have inherited an existing system, practices, assets, etc. Our mindset needs to be that we cannot change the beginning, but we can start where we are and change the ending. We assess where we are today; develop a plan to where we want to go; and implement the necessary changes. Along the way we will also touch on communications and the discipline associated with making changes and change management to ensure sustainable success.

March 2-5, 2026

MARCON - Maintenance and Reliability Conference - Knoxville, TN

https://marcon.utk.edu/
Workshop 18 (1/2 day afternoon) - 2026 and Beyond - How to Transform Your Reliability Journey with Artificial Intelligence, Machine Learning, and Other Transformational Tools!

12:30 PM – 4:00 PM

2026 and Beyond - How to Transform Your Reliability Journey with Artificial Intelligence, Machine Learning, and Other Transformational Tools!

     In this interactive workshop, participants will explore how Artificial Intelligence (AI), Machine Learning (ML), and other transformational tools can accelerate, strengthen, and enhance their organization’s reliability journey.

We’ll begin by defining the essential components of an effective reliability program—its key building blocks, expected outcomes, and proven strategies for success. From there, we’ll break down how to establish a solid foundation that enables the practical and impactful use of AI and ML tools to deliver measurable results.

Whether your organization is just beginning its reliability journey, operating a mature program, or focused on near-term wins, we’ll assess how AI and ML can be applied today and in the future. Participants will evaluate current capabilities, emerging enhancements, and innovative opportunities while considering technology timelines and organizational readiness.

The session will also guide attendees through the planning process—clarifying starting points, desired outcomes, constraints, and required resources—to successfully integrate these technologies. We’ll examine opportunities across three time horizons:

• Immediate (6–12 months): Quick wins and foundational applications
• Short term (12–24 months): Scalable and continuous improvement solutions
• Long term (beyond 24 months): Sustainable capabilities

     Illustrative examples will demonstrate how AI/ML technologies can support reliability goals at each stage. Finally, we’ll look ahead to how these advancements converge with other emerging areas—data science, automation, and virtual technologies—to sustain and elevate your organization’s reliability journey.

Listed below is a sampling of previous presentations and other maintenance and reliability related videos. To access these videos requires a free subscription at the Reliabilityweb.com website-https://Reliabilityweb.com