Why Your AI Strategy Needs SafeDataOps In the current AI-driven landscape, traditional "static" data governance is no longer sufficient to manage the velocity and risks of Large Language Models (LLMs) and autonomous agents. Safe Data Operations (SafeDevOps) is a critical new operational discipline that integrates sovereign business knowledge, real-time observability, and AI safety into a single, proactive framework. By transitioning from reactive "gatekeeping" to proactive "sovereign operations," businesses can accelerate market deployment of AI tools by up to 40%, and reclaim ownership of their proprietary intelligence. This is the shift from documenting policy to running a high-performance, safe, and resilient business engine. Why Your AI Strategy Needs Safe Data Operations For thirty years, we treated Data Governance as a collection of binders—a series of "thou shalt nots" designed to satisfy auditors and keep data safely tucked away in a ...
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