The Global Shift in EAM

How Oil, Energy & Manufacturing Leaders Are Rethinking Asset Management for Modern Operations

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Enterprise Asset Management (EAM) is in the middle of a major transformation. Once seen as little more than a maintenance and work order system, EAM has grown into a strategic platform that drives asset reliability, operational efficiency, workforce productivity, and broader digital transformation.

Across oil & gas, energy, utilities, and manufacturing, organizations are contending with aging assets, rising operational complexity, sustainability targets, and constant pressure to do more with less. In that environment, EAM has become the backbone of smarter, asset-intensive operations.

This episode brings together industry leaders from across regions to discuss how EAM strategies are evolving, the obstacles that persist, and how emerging technologies : AI, predictive maintenance, mobility, and connected assets are shaping the future of asset management.

Key Takeaways:

-See how leading organizations are redefining EAM well beyond maintenance management
-Learn how EAM supports reliability, operational excellence, and digital transformation
-Identify the barriers that keep organizations from realizing the full value of their EAM investments
-Explore the expanding role of AI, predictive analytics, and connected assets in modern EAM
-Gain practical insights into improving asset performance, maintenance efficiency, and workforce productivity
-Understand why asset data quality has become a make-or-break success factor
-Get a clear view of what the future of EAM looks like in an increasingly digital, AI-native world

Who Should Attend:

-Asset Management Leaders
-Maintenance & Reliability Professionals
-EAM / CMMS Administrators
-Plant Managers & Operations Leaders
-Digital Transformation & Industry 4.0 Teams
-CIOs, CTOs & Technology Leaders
-Engineering & Maintenance Managers
-Supply Chain & MRO Leaders
-Data Governance & Master Data Management Teams
-Professionals across Oil & Gas, Energy, Utilities, Chemicals, Mining, -Metals, Manufacturing, and Process Industries

Meet The Speaker and The Host

Speaker

Rakesh Raghudharan

Executive Vice President – Middle East

Verdantis

Speaker

Robert Torrence

Regional Sales Manager – USA

Verdantis

Host

Shubham Pandit

Partnership and Alliance Lead

Verdantis

Verdantis — Products (Aligned)
Our Products

Two Suites. One Intelligent Platform.

Purpose-built for asset-intensive operations — not adapted from generic enterprise software. Each suite solves a distinct, critical challenge.

EAM Suite
MRO360

End-to-end MRO inventory optimization. Practically guarantees availability of critical spares, controlled procurement spend, and zero maverick spending.

MRO Performance
95%+
Forecast Accuracy
30%
Cost Reduction
0
Maverick Spend
Explore MRO360 → ★ Contractually Guaranteed
Three Core Capabilities
Criticality Analysis & Inventory Intelligence
Multi-plant AI-native risk prioritization. Auto-detect obsolete items, find alternates.
Demand Forecasting & Optimization
Proprietary algorithms for planned & unplanned demand. Safety stock and procurement optimization.
Work Order Planning
AI-based scheduling integrated with maintenance workflows and ERP systems.
MDM Suite
Verdantis MDM Suite

The master data platform for asset-intensive enterprises. Cleanse, standardize, enrich and govern master data across 5+ domains with AI-native processing and deep ERP integrations.

Live Data Quality
Spare Parts
91%
Suppliers
87%
Equipment
95%
Verdantis — Left CTA Content (Combined)
MRO360 MDM Suite

Transform Your Maintenance Operation & Master Data

Evaluate two purpose-built solutions designed for industrial enterprises - MRO360 for spare parts and maintenance optimization, and MDM Suite for master data harmonization and governance.

30-min working session with industry experts covering both products - no sales pitch
Free 5-day MRO Diagnostic from your own ERP extract
Free master data quality assessment on your own data sample
Contractual ROI guarantee - savings written into the agreement

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