Rationalisierung der Anlagenverwaltung mit KI-Agenten

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.

Das Wichtigste in Kürze:

• 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.

Empfohlen für:

• Data Governance & MDM Leaders

• Maintenance & Reliability Managers

• Asset & Equipment Owners

• ERP & S/4HANA Program Leaders

• Industrial IT & Transformation Executives

• AI & Automation Experts in Manufacturing