From scheduled to smart: Driving your maintenance strategy using field data & AI

Your maintenance strategy calendar is telling you what equipment you need to maintain — but is it really the right time? How do you know that there isn’t a higher-priority problem out there somewhere? Are you sure you’re rolling your truck to the most important place right now?

In this webinar, we’ll help you understand how high-quality field data and AI can support a stronger maintenance strategy. Together, they help drive down the cost and improve the efficiency of preventive maintenance by prioritizing more effectively, catching hidden problems, and targeting the most critical issues in your infrastructure.

What you’ll learn:

• How AI spots the subtle, invisible correlations that cause failures (e.g., when specific temperatures and usage rates collide).
• How to prioritize your backlog based on actual risk and equipment condition, rather than arbitrary dates.
• How to build a clear, reliable feedback loop between field observations and the maintenance scheduling desk.
• Why predictive AI is useless without pristine field data — and how to ensure yours is actually machine learning ready.

Join us to learn how high-quality field data and AI can make your maintenance strategy more precise, responsive, and grounded in field reality.

Speaker

Jake Freivald
Vice President, Product Marketing

Jake Freivald’s twenty-five-year career in software has covered multiple technology specializations with a focus on data management and analytics. He places particular emphasis on helping business people understand the practical requirements of modernization. He has a B.S. in Electrical Engineering from Cornell University and lives with his family on Long Island, NY.