This guide provides a practical roadmap for organizations preparing to adopt AI in research and development. It covers data readiness, infrastructure, governance, team training, and regulatory considerations. The document emphasizes that AI success depends on high-quality, well-managed data and cross-functional collaboration. It outlines phased adoption strategies, common pitfalls to avoid, and long-term planning approaches. By focusing on people, process, and technology, the guide helps organizations maximize AI value while maintaining compliance and operational stability.

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