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Why Enterprise AI Fails Without Data Independence: The Hidden Bottleneck in Every ERP Transformation

Most AI projects fail due to poor data readiness. Learn how separating legacy ERP data from applications enables cost savings, compliance, and AI success.
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Clean S/4 intelligence

E3 Magazine (March 16, 2026): Clean Core and Agentic AI are interrelated: SAP Clean Core and clean data are the prerequisite for AI agents to work in a scalable manner, while AI agents are the tool to efficiently create the Clean Core.
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TechFinitive Interview: When ERP works properly, leaders stop debating whose numbers are correct

TechFinitive (03/2026): Jean Marc Pestoni, Head of North America Business at Data Migration International (DMI): “When ERP works properly, leaders stop debating whose numbers are correct”
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Rescue through intelligent data management

E-3 Magazine (02/2026): Data twilight in the ERP universe: The current geopolitical situation, the rocky road to S/4 transformation and the possible rescue through intelligent data management are making digital sovereignty increasingly explosive and relevant. Data...
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Rettung durch intelligentes Datenmanagement

E3 03/2026: Datendämmerung im ERP Universum: Aufgrund der aktuellen geopolitischen Lage, dem steinigen Weg zur S/4-Transformation und einermöglichen Rettung durch intelligentes Datenmanagement gewinnt das Thema Digitale Souveränität immer mehr an Brisanz und...
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Data and AI: the crucial question

E-3 Magazine (02/2026): It is not only the geopolitical situation that makes data sovereignty a must. Rather, the increasing spread of AI jeopardizes the protection of sensitive data if the data pool cannot be protected against unauthorized or malicious access.
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Daten und KI – Die Gretchenfrage

E3 03/2026: Nicht nur die geopolitische Lage macht Datensouveränität zu einem Muss. Vielmehr gefährdet die zunehmende Verbreitung von KI den Schutz sensibler Daten, wenn der Datenpool nicht vor unbefugtem oder schädlichem Zugriff geschützt werden kann.
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AI orchestrates the S/4 transformation​

E3 March: S/4 migration, data protection, legacy decommissioning, skills shortages and data quality: transformation projects combine technical, regulatory and organizational challenges. With AI-supported functions, JiVS wants to turn this into a controllable...
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KI orchestriert die S/4-Transformation

E3 03/2026: S/4-Migration, Datenschutz, Legacy-Abschaltung, Fachkräftemangel und Datenqualität: Transformationsprojekte vereinen technische, regulatorische und organisatorische Herausforderungen. Mit KI-gestützten Funktionen will JiVS daraus einen steuerbaren...
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The Hidden Cost of AI: Why Data Debt is Actually a Human Problem

Data debt is a human problem. Discover how simplifying legacy data helps IT teams reduce burnout and accelerate AI-driven innovation.
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