4 Updating your data governance framework to support AI adoption Adapting data standards Tools and techniques and definitions for effective data Standardizing data formats, definitions, governance and quality metrics simplifies the implementation of policies governing Align with business goals: AI tool usage within an organization. Ensure your data governance Clear data standards make it easier to strategy supports organizational decide which datasets AI tools can reason aims to enhance decision-making over to provide business context and which data users can upload for analysis. and efÏciency. This ensures that AI applications use the Automate routine tasks: Use most relevant and trusted data, enhancing automation for repetitive tasks their effectiveness while supporting like data classification and access compliance with organizational policies. management to reduce manual errors and improve security. Continuous improvement Ensure high standards of accuracy: Data governance is an ongoing process, Use validation and cleansing tools to support data integrity over time. especially with AI. Regular audits and updates to your governance framework Train users: Offer training in data can help adapt it to new AI developments governance tools and procedures to and regulatory changes. AI itself can be prevent mismanagement and used to check and enhance governance ensure compliance with policies. practices, potentially finding gaps and Conduct regular audits: Regularly suggesting improvements. This proactive review data practices to ensure they approach enhances compliance and are keeping up with regulatory and efÏciency as AI technologies evolve. organizational change. 14