5 best practices for making your organization's data AI-ready

AI readiness requires strategic data management for relevant, responsible, and robust AI outcomes. This white paper explores key challenges data leaders face with GenAI initiatives:

• Data management: quality control, system integration, and scaling AI-ready data
• Governance and compliance: data classification, security protocols, and regulatory awareness
• Adoption strategies: workforce training, cultural resistance, and ROI expectations

Successful organizations see AI readiness as an ongoing investment needing:
• Technical expertise and management skills
• Data governance frameworks
• Clear business value metrics
• Strategic use case selection

Read this white paper for best practices.