Demystifying AI for the Plant Floor: From Buzzword to Toolbox
How can maintenance teams use AI to improve reliability without adding complexity?
Artificial intelligence is everywhere—but for maintenance teams under pressure, separating what’s practical from what’s hype is not always clear. Simply put, they need tools that simplify decision-making, not complicate it.
This on-demand webinar breaks down how AI is being applied on the plant floor today to strengthen predictive maintenance programs. Drawing from real customer experiences, this session will explain how to drive faster, more confident maintenance decisions.
From this webinar, you’ll learn:
- How AI supports predictive maintenance in real-world environments — understand where it adds value and where human expertise remains critical
- The role of anomaly detection and risk prioritization — focus attention on the assets that matter most
- Why AI and human expertise work better together — reduce false positives and build confidence in maintenance decisions
- Applying AI without disrupting workflows — integrate new capabilities into existing maintenance strategies
Watch the on-demand AI and predictive maintenance webinar to learn how to move beyond hype and apply it in ways that deliver practical, measurable results.
FAQ
Who are the speakers?
Brendan Joyce, Director, Cloud Product Management — AssetWatch
Brendan Joyce brings over a decade of experience in product management, specializing in cross-functional team leadership and product innovation. At AssetWatch, he plays a pivotal role in crafting predictive maintenance solutions that eliminate unplanned downtime and increase operational efficiency across various industries. Brendan holds an MBA in Entrepreneurship: Innovation and Change from the Driehaus College of Business at DePaul University, along with a Bachelor’s degree in Nuclear, Plasma, and Radiological Engineering from the University of Illinois Urbana-Champaign. His dedication to continuous improvement and innovation drives his success in the field.
Garrett Coleman, Customer Success Team Lead — AssetWatch
Garrett Coleman plays a pivotal role in blending human expertise with AI innovation to help customers achieve smarter maintenance outcomes. A strong advocate for empathy in a tech-driven world, Garrett is passionate about making condition monitoring approachable and useful. He’s known for building lasting trust through transparent, relationship-focused communication and excels at aligning cross-functional teams to deliver meaningful, people-centric solutions. At his core, Garrett is dedicated to keeping the human element at the heart of industrial intelligence.
What can AI realistically do for maintenance teams today?
AI can identify anomalies, prioritize asset risk, and summarize complex data to help teams act faster and more effectively.
Why is human expertise still important with AI?
Human validation ensures insights are accurate, actionable, and aligned with real-world operating conditions.
