The SingleStore maturity framework for data warehousing in the age of artificial intelligence depicts a journey from descriptive analytics to predictive analytics to prescriptive analytics for modern organizations and enterprises. The framework outlines seven maturation stages that symbolize increasing strategic value, consisting of three epics: Data Lake, Exactly-Once Real-Time, and Operationalize. Organizations are moving towards operationalizing historical data from data lakes and real-time data from messaging streams in a single data platform using a SQL interface, which enables the achievement of digital transformation. The journey involves embracing agility, adopting new topologies for messaging semantics that support exactly-once, real-time data processing, and leveraging machine learning to simulate intelligence and create specific recommendations. By operationalizing historical data and real-time data within a single distributed system devoid of external ETL, organizations can now own digital transformation initiatives, leading to the evolution from descriptive analytics to predictive analytics to prescriptive analytics.