AI-Driven Maintenance with SAP Enterprise Asset Management
AI-Driven Maintenance with SAP EAM
In industrial environments, availability, reliability, and cost efficiency are more important than ever. Traditional reactive or time-based maintenance is no longer enough. Organisations face ageing assets, rising energy costs, increasing complexity, and a shortage of technical talent.
This Lunch & Learn session offers a clear and inspiring look at how SAP AI makes maintenance smarter, more efficient, and future-ready — from strategic vision to practical applications. Discover how AI and machine learning enable predictive and proactive maintenance, support efficiency, and reduce errors. Tools such as SAP Joule and anomaly detection in APM help prevent failures, save time, and lower costs, while automation simplifies repetitive tasks.
Practical Information
Date: Thursday, March 26
Time: 11:00 AM – 12:00 PM (CET)
Format: Focus Session (Webinar)
Why Attend?
- Discover how SAP AI makes maintenance more strategic, efficient, and reliable
- Learn how predictive maintenance, anomaly detection, and AI-driven automation improve operations
- See practical applications across EAM, IAM, FSM, and APM
- Gain actionable insights to reduce downtime, cut costs, and extend asset lifecycles
- Prepare your organisation for SAP’s future AI roadmap
Register Now
Join this session and discover how SAP AI helps you evolve towards predictive, efficient, and sustainable maintenance.
Register today and secure your seat.
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Agenda
11:00 - 11:05
Welcome & Introduction
By SAPience
11:05 - 11:50
AI-Driven Maintenance with SAP Enterprise Asset Management
Explore how SAP AI transforms asset management in practice. Learn how AI capabilities within SAP EAM, IAM, FSM, and APM support smarter maintenance and extend asset lifecycles. See real-world examples of AI in action, from predictive maintenance and anomaly detection to intuitive support via SAP Joule. Gain insight into SAP’s AI roadmap and learn how to prepare your organisation for the future of intelligent, data-driven maintenance.
11:58 - 12:00
Conclusion and key takeaways
Get to know your speakers
Stef Van Droogenbroeck
SAP EAM Expert at Emixa
Stef Van Droogenbroeck is a senior SAP EAM consultant at Emixa, where he has been active since 2021. He specializes in Enterprise Asset Management within SAP S/4HANA, supporting organizations in designing and implementing efficient, end-to-end maintenance processes in asset-intensive environments.
With a strong analytical mindset and a clear focus on process optimization at the intersection of business and IT, Stef contributes to ERP and IT transformation projects by delivering practical and sustainable SAP EAM solutions.
Stef holds multiple SAP certifications and has in-depth expertise across the SAP S/4HANA EAM portfolio, including hands-on experience with Plant Maintenance and RSH-based maintenance scenarios.
