This ebook explains why organizations must address AI governance now in order to scale AI safely, responsibly, and effectively. It highlights how fragmented governance creates blind spots in data visibility, trust, and control, ultimately stalling AI initiatives and increasing regulatory risk. The ebook introduces the concept of unified governance as a strategic accelerator that enables Data Confidence—the ability to trust, comply with, and consume data across systems without slowing innovation. It presents a four-step AI governance framework: defining AI use cases, identifying and understanding data, documenting models and results, and continuously verifying and monitoring performance. The ebook emphasizes collaboration across legal, data, business, and ethics teams and concludes that uni

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