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The Evolving Horizon of Enterprise Asset Management: MDM and AI as Catalysts for Asset-Intensive Industries Dr. Amarendra Singh, Vice President of Marketing Strategy, PiLog Group In the high-stakes world of asset-intensive industries oil and gas, mining, utilities, and manufacturing etc. Enterprise Asset Management (EAM) has long been the backbone of operational reliability. As we navigate…
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…
Clean Data. Smart Assets. Resilient Energy Operations. In asset-intensive industries, poor master data is the silent force draining maintenance budgets, undermining reliability, and limiting the return on SAP investments. Learn about how a modern Master Data Management strategy creates a governed, real-time single source of truth and translates it into measurable operational and financial value. Immerse yourself…
Unlocking Business Value at SAP Connect Days for Supply Chain 2026 AI is reshaping supply chain management through predictive accuracy and automated insights, but these innovations only deliver if they are built on a foundation of quality data. As a key partner at this year’s SAP Connect Day in Milan, Italy, PiLog invites you to…
Unlocking Business Value at SAP Connect Days for Supply Chain 2026 AI is reshaping supply chain management through predictive accuracy and automated insights, but these innovations only deliver if they are built on a foundation of quality data. As a key partner at this year’s SAP Connect Day in Tobacco Dock, London, PiLog invites you…
Pharmaceutical Enterprise Achieves 10% Inventory Reduction with Zero Asset Risk Despite massive working capital tied up in MRO inventory, a global pharma major struggled with inconsistent material records and an aging asset base that threatened production stability Download Case Study Pain Points ~20K Material Master Records,$33.5M Inventory Value Inconsistent Data Quality: Slower improvements in data…
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