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In the past decade, but especially the last few years, we’ve witnessed a major shift in how organizations think about data. No longer just the domain of BI analysts or database administrators, data has become central to digital transformation, competitive advantage, and product innovation. As a result, roles like Data Engineer, AI Engineer, and Data Scientist have exploded in popularity, and often, confusion.
Artificial Intelligence is no longer a futuristic concept. It's here, embedded in decision-making systems, customer support platforms, and productivity tools. But as a CTO and decision maker, I constantly remind myself and my team that the power of AI comes with an equally critical responsibility: to validate, secure, and govern it with intent.
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