Rail Doesn’t Stop. Neither Do Bad Data Problems

The race to SAP S4 HANA, embedding AI across rail operations, and achieving the shift from time-based to predictive asset maintenance: these are the three most pressing challenges that rail and mobility leaders currently face. Across all the three challenges, one factor is decisive - the quality of your master data. Meet our team to know how our Master Data Management solutions help rail and mobility organisations build the trusted data foundation that makes these ambitions possible. Whether you are navigating an S4 HANA migration, deploying SAP Business Data Cloud, or pursuing predictive maintenance through SAP APM and Joule, PiLog ensures your material, equipment, and asset records are clean, governed, and enriched - so your AI tools produce reliable outcomes, not noise.

Attend Our Session:

22-23 April 2026, 12.00PM

Data Quality and Governance Suite for Supply Chain and Asset Lifecycle Management


Speakers

Ram Bhaskara

Ram Bhaskara

Vice President - Advisory Consulting and Value Engineering

LinkedIn →
Learn how your industry peers benefited:
Our Utility client optimized 27% of inventory and saved over US$11M
More
Reducing Oil & Gas Inventory Costs by 12 - 15% with Zero Reliability Risk
More
Our Mining client saved 23% in inventory and added over US$67M to profits
More
More Insights
Achieving Predictive Excellence in Oil and Gas through MDM and AI
More
Data Quality Fuels AI Excellence
More
Mastering EAM Sustainability and AI through Master Data Management
More
Meet Us
Discuss topics shaping the future of asset and service management
Management:
Predictive
Maintenance & Asset
Performance
AI in Rail & Mobility
Operations
S4 HANA Migration:
RISE with SAP
Our Team
Dr. Salomon De Jager

Ram Bhaskara

Vice President - Advisory Consulting and Value Engineering


Learn More ⮕ LinkedIn

Ready to join us in Ireland?

Tell Us How We Can Help You