22 July | 9.30 CT US / 16.30 CET EU

 

Many asset-intensive organizations jump straight into advanced AI and predictive maintenance engines, only to find their models crippled by unstructured, unreliable legacy records. Artificial intelligence is only as good as the taxonomy feeding it. ISO 14224 provides the foundational framework required to capture high-quality asset reliability and failure data, turning messy shop-floor notes into structured, machine-ready intelligence.
 

Join us on July 22 at 9.30 CT US / 16.30 CET EU for an interactive, two-part webinar designed to bridge the gap between data standards and cutting-edge automation. The first half features an educational masterclass, equipping attendees with the core concepts, data structures, and methods of ISO 14224. In the second half, a panel of industrial experts will debate real-world applications, sharing honest insights into how these standards are actively being deployed to de-risk AI investments, eliminate data blind spots, and maximize asset uptime.

 

What will participants learn? 

• Why standardizing your asset taxonomy and failure modes under ISO 14224 is the single most critical prerequisite for reliable predictive AI modelling
• Practical methods for converting chaotic, free-text technician notes into clean, structured data packages that algorithms can instantly interpret
• Hard-earned lessons from industry experts on overcoming frontline resistance and system integration hurdles when rolling out these standards
• How a unified data foundation allows you to continuously simulate and select the most cost-effective maintenance mix as your operations evolve

 

If you’re looking to turn unstructured asset data into reliable AI and predictive maintenance insights, join us this July and discover how ISO 14224 creates the clean, structured foundation needed to unlock smarter, more dependable decisions.