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Why AI Initiatives Fail: The Critical Role of Data Strategy in Digital Transformation

Artificial intelligence promises efficiency, automation, and better decisions. Yet according to RAND, more than 80% of all AI projects fail — twice the rate of traditional IT projects. The root cause is rarely the algorithm; it's almost always the data foundation. Without a unified data strategy and consistent architecture, no scalable value can emerge. Companies that fail to address this pay twice — in time, money, and trust.

Data Stewardship as a Success Factor: Why Your AI Strategy Will Fail Without Professional Data Management

Without professional data management, every AI initiative remains patchwork. According to Gartner, 85% of failed AI projects cite poor data quality as the root cause — and only 12% of companies have data of sufficient quality for AI. Professional data stewardship flips that ratio: less manual cleansing, faster analytics, lower compliance risk — GDPR violations can cost up to 4% of global annual revenue.

Pimcore has changed its licensing model: What the POCL means for you – and how we can help you make the switch

As of Platform version 2025.1, the Pimcore Community Edition is no longer licensed under GPLv3 but under the Pimcore Open Core License (POCL). Version 2024.4 was the last GPLv3 release. The Community Edition remains free for organizations with annual revenue below €5M, non-profits, and educational institutions – those above that threshold who upgrade to a POCL version will need a commercial license. Here is what this means for your installation and which three options you have now.