Agenda per Track
Wednesday 18 November 2026
- 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 Pieterjan Blondeel, VP Marketing, Sensolus & Kristoff Van Ratthinghe, CEO, 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 From Manual Planning to AI-Driven Work Orders: A Real Oil & Gas Transformation Story
by Meshari Mutairi, Maintenance planner leader, Saudi Aramco
- 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
- 14:35 - 15:10
1.1.6 From Voice to Clean Maintenance Data: How we improved work order quality and reduced admin in the field
by Jonas Maeyens, Co-founder
- 15:10 - 16:15
1.1.7 Stop Leaving Your Frontline WORKFORCE Behind: How AI Voice agents will Redefine Maintenance ROI in Europe + Practical case ROCKWOOL
by Martin Pock, Vice President, Knauf
- 16:15 - 16:50
1.1.8 From local chaos to global clarity: Building a connected spare parts network
by experts from 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
- 17:25 - 18:00
1.1.10 From APM Data to Action: Delivering Real-World Asset Performance Results - case BASF
by Li Xiang, Vice President, ProAIM
- 09:35 - 10:10
1.2.1 Sanofi’s Value Driven Global Maintenance & Reliability Program
by Gunnar Markus, Global Head of Reliability & Maintenance (EMEA/APAC), Sanofi, & Remco Jonker, Mainnovation
- 10:10 - 11:15
1.2.2 Maintenance Performance Improvement
by Toon Spooren, Maintenance Supervisor, Nyrstar
- 11:15 - 11:50
1.2.3 Digital Innovation to enhance Asset integrity in oil and gas industries - Case Indian Oil
by Trinath Sahoo, Head of maintenance and asset integrity, Indian Oil Corporation
- 11:50 - 12:25
1.2.4 Beyond alarm thresholds: how AI vibration analysis reduces false alarms and recovers lost production in rotating equipment
by Jesse Miettinen, CTO, Rotomate
- 12:25 - 14:35
1.2.5 AI for early anomaly detection - Case heat exchangers of INOPSYS
by Dominique Archambeau, Senior Sales Account Manager, Indao
- 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 - 16:10
1.2.7 Optimizing the Life Cycle of Online Oil Sensors: Installation, Maintenance Strategies and Performance Management
by Bruno Pilotti, Applications Engineer, Atten[2]
- 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, 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
- 19:00 - 20.00 1.1.11 Sending Spare Parts to Mars is a Bad Business Case
by Dr. Stefaan De Mey, Head of the Strategy Team for Human and Robotic Exploration, European Space Agency (ESA)
Thursday 19 November 2026
- 09:00 - 09:35
2.1.1 Condition-Based Maintenance Information: Maximizing Return of Investment in Condition Monitoringby Svetoslav Staykov, CTO, CBM Dreamer
- 09:35 - 10:10
2.1.2 The Pitfalls of Predictive Maintenance: When Data Isn’t Readyby Abdelrahman Elmeky, AI & APM Solutions Engineer, Smart System LLC
- 10:10 - 11:15
2.1.3 Translating Asset Health Assessments into Action at aging Chemical Production Sites - Case INEOSby Toon Van Melckebeke, Global Manager Operations Excellence Programs INEOS Styrolution en INEOS Aromatics., Ineos
- 11:15 - 11:50
2.1.4 20% More Equipment Availability with AI – A Maintenance Success Storyby David Hahn, CEO
- 11:50 - 12:25
2.1.5 Kellanova customer case : collaboration + case studies showcasedby Léa Délire, Event Manager, Kellanova
- 12:25 - 14:35
2.1.6 Where to Start with AI and Prescriptive Maintenance – From Idea to POC, Business Case and Measurable Impactby Enzo Mommers, Principal Consultant, Heineken
- 14:35 - 15:10
2.1.7 OEE: From a scorecard metric to the heart of daily operations - case Alpro
by Raf Swinnen, Industry 4.0 Advisor, Maecos
- 15:10 - 16:45
2.1.8 The human 3D-interface for AI-driven maintenance
by Koen Penneman, Managing Partner, Chenext
- 9:00 - 09:35
2.2.1 Presentation by 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 Perfoemance Principal, OQ
- 10:10 - 11:15
2.2.3 Closing the Loop: From Maintenance Strategy to AI-Driven Executionby Susanne Bottemanne and Jason Enti, SAP
- 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 Aquafinby Joris Dircx, Manager Asset Data, Aquafin
- 12:25 - 15:10 2.2.6 Trends in Smart Maintenanceby Knud Lasse Lueth, CEO
- 14:35 - 15:10 2.2.7 AI assisted ATEX Inspections: From manual reporting to intelligent workflowsby 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 Rob Stevens, Commercial Lead, Airvision
- 15:45 - 16:15 2.2.9 From Agentic AI to Self-Preserving Assets: Redefining Maintenance and Asset Managementby Diego Galar, Professor / R&D VP