Data drives innovation by informing strategic decisions and powering AI, yet harnessing its full potential requires overcoming challenges like bias and privacy concerns. This article explains data types (structured, unstructured, semi-structured), and the importance of data's breadth, diversity, and depth in developing effective strategies. Julien Willard discusses implementing robust data governance, AI analytics, and embracing decentralized data architectures to enhance security and compliance, navigating the evolving data landscape effectively.
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