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  There’s often no one factor at fault when severe weather appears—and similarly, many factors are driving the current storm of AI development workflows, tools, and software that’s currently sweeping through modern organizations.  The sudden storm of demands that results from  data governance  for AI are thrusting data leaders into the role of emergency managers. Many are now in over their heads as they’re scrambling to triage damage, manage resources, and prevent cascading failures. (Photo illustration by Gable editorial / Midjourney) To orient those who are facing that challenge, the below sections will outline the core forces behind today’s AI surge, unpack the most pressing governance challenges that organizations are now confronting, and identify practical strategies that data leaders can use to regain clarity, coordination, and control. Key challenges for data governance for AI in modern organizations AI adoption is surging—experts project it to grow at a compo...