Artificial intelligence (AI) is transforming business operations by rapidly analyzing data and making accurate predictions, but it requires robust data governance to ensure accuracy, security, and compliance. AI data governance is a strategic framework that manages data collection, storage, and analysis while adhering to legal and ethical standards, aiming to enhance data integrity, prevent security issues, and maximize AI benefits. Effective AI data governance supports privacy and security, enhances data quality, and improves operational efficiency by automating tasks and maintaining compliance. For enterprises and SMBs alike, AI data governance provides insights for better decision-making and competitive advantage. Implementing AI data governance involves assessing current data practices, defining goals, developing compliance frameworks, integrating AI systems, and training teams. Challenges include data silos, privacy, regulatory compliance, scalability, and cultural resistance, which can be managed through collaboration, secure practices, and strong leadership. Future trends in AI data governance include multimodal AI, ethical AI, explainable AI, real-time governance, and federated learning, which enhance AI's capabilities while ensuring ethical and responsible use. Integrating comprehensive AI data governance can secure data, comply with regulations, and drive growth and innovation.