This guide shares best practices for AI transformation from data leaders. It describes five stages: evangelize AI across the company, experiment with use cases, operationalize with governance and processes, expand adoption through centers of excellence and reusable models, and transform AI into part of the organization’s DNA. Key advice includes aligning AI to business goals, prioritizing use cases, investing in data literacy, ensuring performance tracking, and coordinating resources. Leaders stress the importance of data governance, education, and measuring business impact to ensure AI delivers real value and drives sustainable innovation.

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