The document “Strategic Data Foundations: Preparing the Organisation for Advanced AI” lays out a clear framework for aligning data strategies with the needs of next-generation AI technologies. At its core, it emphasizes:
• Proprietary Data as a Competitive Advantage: Internal enterprise data offers unique insights that, when paired with generative AI, can unlock significant value/
• Current Limitations: Many organisations fail to fully leverage this advantage due to fragmented data systems and outdated practices.
There is also significant untapped potential in unstructured data, including documents, video, and audio, which often holds context-rich information vital for AI-driven insights. In parallel, synthetic data is gaining importance to bridge data gaps, enhance model training, and support innovation while respecting data privacy. The value of connected data is highlighted as essential for providing the context generative AI needs to produce accurate and relevant outputs. At the same time, the rapid adoption of AI technologies introduces increased exposure to risks around data misuse, security, and quality, prompting the need for modern governance models.