Agenda per Track

Wednesday 18 November 2026

Opening Keynote

Track 1.1A: Agentic AI in Maintenance, Reliability & Asset Management

09:35 - 10:10
1.1.1 A.I. and Digitalising from buzzword to value generator: Avoiding Pitfalls and Implementing AI Successfully
by Anthony Van Heymbeeck, Manager, PwC Belgium

10:10 - 10:45
1.1.2 AI runs the world. But it's still guessing where your physical assets are
by Kristoff Van Ratthinghe, CEO, Sensolus and Jeremy De Clercq, Head of Customer Success, Sensolus

11:15 - 11:50
1.1.3 Agentic and industrial AI as a means for increasing productivity in asset management
by Markus Ahorner, CEO, Ahorner & Innovators

11:50 - 12:25
1.1.4 The Future of EAM
by Bram Van Laeken, Ultimo

12:25 - 13:00
1.1.5 From Tool to Teammate: Exploring Agentic AI in Maintenance and Asset Management
by Louis Morias, Data & AI Consultant, Axians, & Alexander Vervust, Agentic AI Practice Lead, Axians

Track 1.1B: AI Voice agents

14:35 - 15:10
1.1.6 Agentic AI in Service and Maintenance: How AI Voice Agents Turn Field Knowledge into Actionable Maintenance Data - Case BP Castrol
by Jonas Maeyens, Co-founder

15:10 - 15:45
1.1.7 Stop Leaving Your Frontline WORKFORCE Behind: How AI Voice agents will Redefine Maintenance ROI in Europe + Practical case ROCKWOOL / Dunlop
by Martin Pock, Vice President, 2BM Software & Emil Casparij, Group Maintenance Excellence Manager, Rockwool

16:15 - 16:50
1.1.8 From Fragments to Network: Creating a Solid MRO Foundation for Maintenance Success
by Henning Lombeck, Senior Account Executive, SPARETECH GmbH

Track 1.1C: Asset Data Management

16:15 - 16:50
1.1.8 From local chaos to global clarity: Building a connected spare parts network
by Henning Lombeck, Senior Account Executive, Sparetech

16:50 - 17:25
1.1.9 Breaking Data Silos: How to Make Terabyte-Scale Spatial Data Usable
by Adrian Merkel, CEO, speedikon FM, Dr. Alexandra Merkel, CTO, speedikon FM AG

17:25 - 18:00
1.1.10 Operationalizing O&M Data: A Data-Driven Approach for Systematic Maintenance Strategy Differentiation and Asset Comparability
by Simon Klarskov Didriksen, Post doctoral researcher, Technical University of Denmark, Kristoffer Wernblad Sigsgaard, Post doctoral researcher, Technical University of Denmark, Niels Henrik Mortensen, Head of Section, Professor, Technical University of Denmark

Track 1.2A: Condition monitoring & asset health assessment

Track 1.2B: Reliability & Maintenance Strategies & Methodologies

11:15 - 11:50
1.2.3 Sanofi’s Value Driven Global Maintenance & Reliability Program
by Gunnar Markus, Global Head of Reliability & Maintenance (EMEA/APAC), Sanofi, & Remco Jonker, Mainnovation

11:50 - 12:25
1.2.4 Architecting AI for Reliability and Industrial Decision-Making
by Tom Rombouts, Reliability Transformation Leader, PDM

12:25 - 13:00
1.2.5 Maintenance Performance Improvement
by Toon Spooren, Maintenance Supervisor, Nyrstar

Track 1.2C: Smart & Sustainable Lubrication

14:35 - 15:10
1.2.6 Grease Intelligence: Practical Implementation of Predictive Maintenance Using Advanced Lubricant Diagnostics
by Wojciech Jewula, Specialist for Diagnostics, Ecol Sp. z o.o.

15:10 - 15:45
1.2.7 Optimizing the Life Cycle of Online Oil Sensors: Installation, Maintenance Strategies and Performance Management
by Bruno Pilotti, Applications Engineer, Atten[2] & Maxim Van Uytven, Managing Director, Triple R Europe

Track 1.2D: Motor Health Assessment

16:15 - 16:50 - Innovation
1.2.8 Combining MCSA with vibration analysis in one platform
by Eric Delvaux, Sales Manager, Schaeffler Belgium

16:50 - 17:25
1.2.9 From Signals to Health: A Systematic Machine Health Scan for Electric Motors
by Bram Vervisch, Co-founder & Machine Diagnostic Expert, Orbits

17:25 - 18:00
1.2.10 An AI-Based Platform for Automated Fault Diagnosis in Electric Motors
by Rogério Duarte, R&D Engineer, Enging

Track 1.3A: Smart EAM & Asset Intelligence

Track 1.3B: Workshops

1.3.3 Untangling Complexity: How MRO Transparency Drives Operational Resilience
Henning Lombeck, Senior Account Executive, Sparetech

1.3.4 Agentic AI and Industrial AI - a jump start into productivity improvements
Markus Ahorner, CEO, Ahorner & Innovators

1.3.5 Breaking the bottlenecks: Powering up your Asset Management chain
Workshop by SAP and Ideo

1.4.3 EFNMS Asset Management Workshop

More information coming soon

Evening Event with Keynote

Thursday 19 November 2026

Track 2.1A: Predictive & prescriptive maintenance

09:00 - 09:35
2.1.1 Condition-Based Maintenance Information: Maximizing Return of Investment in Condition Monitoring
by Svetoslav Staykov, CTO, CBM Dreamer

09:35 - 10:10
2.1.2 The Pitfalls of Predictive Maintenance: When Data Isn’t Ready
by Abdelrahman Elmeky, AI & APM Solutions Engineer, Smart System LLC

10:10 - 10:45
2.1.3 Translating Asset Health Assessments into Action at aging Chemical Production Sites - Case INEOS
by Toon Van Melckebeke, Global Manager Operations Excellence Programs INEOS Styrolution en INEOS Aromatics., Ineos

11:15 - 11:50
2.1.4 20% More Uptime with AI: The Liqui Moly Success Story
by David Hahn, CEO, Remberg

11:50 - 12:25
2.1.5 From Detection to Prediction: Mars Snacking’s Digital Evolution in Predictive Maintenance - Case Mars Snacking
by Tom De Weerdt, Senior Technical Operations Manager, Kellogg Company & Pieter Van Camp, Deputy CEO, I-care

12:25 - 13:00
2.1.6 Where to Start with AI and Prescriptive Maintenance – From Idea to POC, Business Case and Measurable Impact
by Enzo Mommers, Head of the FactoryXcell® Ecosystem, Mekano

Track 2.1B: Human centric Leadership & Cultural Change

Track 2.2A: Asset Performance & Cost Management

9:00 - 09:35
2.2.1 From a reactive to an advanced proactive water landscape: Strategic business & data-driven reduction of drinking water losses - Case De Watergroep
by Cindy Vermeire, Director of Operations, De Watergroep & Jasper Baert, Delaware

09:35- 10:10
2.2.2 Turning reliability into a measurable EBITDA driver: A structured asset management transformation at OQ RPI
by Attila Kiss, Strategic Asset Performance Principal, OQ & Tamás Balla, OQ RPI – Senior Reliability Advisor, Salim Al-Maghdri, OQ RPI – VP of Asset Management

10:10 - 10:45
2.2.3 From Vision to Value: Building the Foundation for Autonomous Asset Management
by Susanne Bottemanne, Global Industry Solution Expert EAM for Utilities and Nuclear, SAP & Jason Enti, Solution Advisor | Asset & Service Management, SAP

Track 2.2B: Data-driven asset management

11:15 - 11:50 2.2.4 From fragmented data to structured maintenance: leveraging automated reporting and technical knowledge access to support field operations.
by Fabrice Loré, Head of Sales, Araiko

11:50 - 12:25 2.2.5 Efficiency in data management: the shift from manual data input to AI-driven extraction - case Aquafin
by Joris Dircx, Manager Asset Data, Aquafin

12:25 - 13:00 2.2.6 Trends in Smart Maintenance
by Knud Lasse Lueth, CEO

Track 2.2C: Asset Risk Management

14:35 - 15:10 2.2.7 AI assisted ATEX Inspections: From manual reporting to intelligent workflows
by Rob Gülickers, Director, Ebert Hera

15:10 - 15:45 2.2.8 Human‑Driven AI for Industrial Inspections: How Smart AIS and Airvision accelerate corrosion and insulation damage detection and address Asset Owners’
by Thomas Woudsma, Tech Lead, Airvision & Freek Lovink, Technical Data Consultant, Smart AIS

Track 2.3: Workshops

Track 2.4 Multi-Site Excellence Forum

09:00: 2.4.1 Multi-site maintenance contracts and scalable contractor management
Moderated by Jos Vermylen, VP of Industrial Assets and Joint Ventures, TotalEnergies
11:15: 2.4.2 Creating a uniform maintenance methodology across sites
Moderated by Jan Sinnaeve, Consultant, Mainnovation

This introductory session is free of charge for eligible multi-site leaders and offers a first opportunity to experience the Community and help shape its future agenda.

To safeguard open and relevant peer exchange, participation in the Community itself is reserved for multi-site asset leaders and is subject to approval.

Registration is required via a separate link. Read more here.

Closing Keynote

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