This two-day workshop prepares organizations to evaluate, structure, and optimize their data for AI initiatives. Page 1 includes a visual of flowing data streams representing transformation of unstructured data. Participants learn ML fundamentals, challenges of raw data, discovery techniques, and methods for structuring information. Page 2 covers use-case identification, evaluation of infrastructure readiness, and data-quality assessment. Deliverables include a Data Readiness Report, Data Maturity Assessment, and recommendations for applying AI and analytics. The workshop builds foundational understanding and creates a clear roadmap to prepare data for enterprise AI adoption.

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