Webinar: Data-Driven Maintenance Decisions – Lessons from Coal Mining Deployments
July 24, 2025
Smarter Maintenance in Coal Mining with DataMind AI™
Predictive maintenance in coal mining is challenging – high loads, abrasive materials, and remote environments create a perfect storm for unplanned downtime. In this recorded webinar, produced in collaboration with Austmine, we explore how DataMind AI™ is helping operations move from reactive repairs to proactive, data-driven strategies.
Michael Zolotov, CTO & Co-Founder of Razor Labs, shares field-tested insights from deploying AI-powered sensor fusion across global coal mining sites. From crushers and conveyors to centrifuges and pumps, this session highlights how combining visual data, vibration analytics, and telemetry enables earlier failure detection and smarter diagnostics.
Andrew Kaushal, VP Sales Australia, also joins the session to provide on-the-ground perspective from Australian mine sites.
Key Takeaways:
- AI-powered diagnostics help eliminate vague alerts and reduce false alarms
- Sensor fusion enables deeper insights by combining vibration, visual, and telemetry data
- Predictive maintenance reduces downtime and increases equipment lifespan
- Coal operations benefit from out-of-the-box AI that doesn’t require site-specific training
- Lessons learned from tough deployments: what it takes to make AI work in harsh, noisy environments
Want to learn how DataMind AI™ can help you improve reliability and performance?
Schedule a discovery call with our team to explore how DataMind AI™ can support your operation.
