Streamlining Equipment Asset Management with AI Agents

In this insightful episode, Kalpesh Shah is joined by master data expert Jose Bobrek to explore how AI is transforming maintenance data management in asset-intensive industries.

From automating data classification to enabling predictive maintenance and ensuring compliance at scale, this episode highlights how AI-powered solutions are addressing real-world challenges in operations and IT.

Principales conclusiones:

• AI for Maintenance Data: Automate classification, validation, and enrichment for smarter, structured data.

• Legacy to Modern: Seamlessly integrate AI into existing systems without disruption.

• Predictive Maintenance: Use enriched data to reduce downtime and optimize asset lifecycle.

• Governance at Scale: Enforce compliance and detect anomalies in real-time.

• Global Scalability: Standardize data while respecting multilingual, regional nuances.

• Driving Adoption: Align technology with culture and data ownership for lasting impact.

• Enterprise Impact: Unlock value across procurement, finance, and sustainability.

• AI in M&A & ERP: Harmonize data during SAP S/4HANA upgrades and mergers.

Recommended For:

• Data Governance & MDM Leaders

• Maintenance & Reliability Managers

• Asset & Equipment Owners

• ERP & S/4HANA Program Leaders

• Industrial IT & Transformation Executives

• AI & Automation Experts in Manufacturing