AI is transforming how businesses operate by improving processes, accelerating innovation, increasing productivity, and ensuring customer engagement through natural language processing applications like ChatGPT. A comprehensive data strategy is crucial for successful AI efforts as it ensures that an organization's data can be accessed when needed to support the development of effective algorithms and machine learning models. Data integration challenges are a major hurdle in scaling AI use, with siloed or poorly integrated data being a common issue. Evaluating and integrating data is essential, including understanding business goals, mapping out the data ecosystem, and deciding how data will be integrated. Effective data governance, including privacy, security, and ethics, is critical to establishing trust in AI initiatives, and employing trustworthy data leads to trustworthy AI. A robust data strategy can help make sense of existing data and provide a solid foundation for AI success.