AI and data Governance: 3 steps to kick-start your journey

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AI and data Governance: 3 steps to kick-start your journey

Organizations are undergoing rapid transformations, termed hyper-transformation, with AI leading the charge. The Future of Jobs Survey 2025 indicates that 86% of businesses expect AI and information processing technologies to significantly impact their operations by 2030. As companies strive for efficiency, understanding and managing data governance becomes crucial for leveraging AI effectively.

To enhance data governance, organizations should first assess their data quality and maturity. Mapping data flows and creating a data culture are essential steps to ensure that teams can make informed decisions and manage risks effectively. By prioritizing data governance, businesses can better navigate market changes and harness the full potential of AI.

• 86% of businesses expect AI to transform operations by 2030.

• Data governance is essential for leveraging AI effectively.

Key AI Terms Mentioned in this Article

Hyper-transformation

Hyper-transformation refers to the rapid and successive changes organizations undergo to adapt to evolving environments.

Data Governance

Data governance involves policies and procedures that standardize data usage to improve business outcomes.

AI Use Cases

AI use cases are specific applications of AI technologies across various business functions and sectors.

Companies Mentioned in this Article

Sia

Sia is a global management consulting firm that helps clients navigate transformation and change, particularly in the context of AI and data governance.

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