Generative AI has the potential to multiply the effort of creative and intellectual work by generating text, code, images, audio, and other media in response to prompts. It can assist with analytics, customer assistance, sales and marketing content, generate code to accelerate software engineering, and rapidly brainstorm new products and concepts. However, generative AI is limited by its lack of semantic understanding and contextual awareness, making it crucial to ensure the data used to train models is trustworthy and governed. Automation and accessibility are key features of modern data tools that enable efficient data transformation and modeling. A solid foundation of high-quality data underpinned by governance is essential for effective, safe, and ethical use of generative AI.