Stop guessing. Detect earlier. Plan maintenance before downtime hits.

Most industrial teams know reactive maintenance isn’t sustainable - but moving to condition-based monitoring can feel complex, fragmented, and hard to scale. In this on-demand webinar, Taimen Taylor, Senior Director of Implementations at MultiSensor AI, and Marouane Lahmidi, Founder of IndustrAI SARL and former Amazon (RME) predictive maintenance leader, break down a practical, real-world approach to making that transition - without overwhelming your team with disconnected tools or “dashboard chaos.”

You’ll learn how leading organizations combine multiple sensing technologies—like thermal, vibration, and ultrasound—to detect failures earlier, reduce false positives, and build confidence in what actually needs attention. The session walks through how to turn scattered signals into clear, actionable insights that fit into your existing maintenance workflows.

Whether you're just starting with predictive maintenance or looking to scale what you already have, this webinar gives you a step-by-step path to faster results—and measurable ROI in months, not years.

What You'll Learn

• How to choose the right CBM technologies using the P-F curve (and why timing matters)
• Why multi-sensor validation reduces false positives and improves decision confidence
• A practical path from manual inspections to automated monitoring and scalable analytics
• How to structure ROI: downtime reduction, spare parts optimization, labor efficiency, and safety
• How much historical data you actually need to get started (hint: less than you think)
• Integration strategies so insights show up where your team already works (CMMS, dashboards, workflows)

Speakers

• Taimen Taylor, Senior Director of Implementations, MultiSensor AI — Computer Engineering background with 10+ years in infrared, remote sensing, and industrial condition assessment across industrial environments.

• Marouane Lahmidi, Founder, IndustrAI SARL (industrai.eu) — Mechanical Engineer with experience in steel industry maintenance; led predictive maintenance strategy across Amazon (RME); worked on Industry 4.0 and predictive maintenance services at AWS; founder and AWS partner focused on Industry 4.0 solutions.