The author discusses the importance of having a "green" data warehouse in order to effectively utilize artificial intelligence (AI). A green warehouse refers to a facility that incorporates environmentally friendly practices and sustainable technologies, while a brown warehouse represents an existing facility that needs upgrades. The author draws parallels between physical warehouses and data warehouses, suggesting that just as sustainability is crucial for physical warehouses, AI readiness is essential for data warehouses. To achieve success with AI, one must ensure their data is clean, well-structured, relevant, accurate, accessible, and properly labeled, and that the database is built with AI in mind. However, many organizations are still working with legacy data environments that require remediation and modernization. The author also emphasizes the need for governance and responsibility when it comes to AI, suggesting that business leaders should create dedicated teams to help make AI a company priority and extend its reach beyond traditional IT boundaries. Ultimately, winning with AI requires a strategic approach, including intentional management of data estates and a focus on who "owns" AI.