This research is intended to help data and analytics leaders navigate the journey needed to understand, enable, operationalize and govern AI-ready data as an iterative and agile discipline enabled through architecture, technology and skills. The journey map outlines the following critical steps to take on your AI-ready data journey:

• Get grounded and gain foresight: This section will specify what “AI-ready” is, why it matters now and how to benchmark your AI-readiness from a data management perspective.
• Define value and gain executive buy-in: This vital section will help you build a solid business case to present to your board and teams to get the vital resources needed in your AI-ready data journey.
• Execute, implement and scale: This section does a deep dive into extending your data management architecture, strategy, tools and best practices to deliver and support AI-ready data.
• Govern and manage change: Finally, this section examines the critical aspects of governing AI-ready data and how to plan for the potential disruptive impact of AI on your existing data management tools and practice.
  
  

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