The generative AI (GenAI) revolution is poised to transform digital modernization spend, with 98% of organizations aiming to achieve GenAI goals by 2024. However, existing IT infrastructure often struggles to support large-scale AI projects due to limitations in data management strategies. To overcome this, organizations must modernize their data management approaches to gain control over high-speed data analytics and processing demands. This requires a multifaceted approach, including setting realistic goals, increasing productivity, implementing security and privacy guardrails, and delivering low-latency data access. Organizations need to focus on data architecture, ensuring control over data storage, access, and use, as well as specialized tools and procedures to prevent data exposure. With the right database technologies in place, businesses can create GenAI-powered adaptive applications that deliver hyper-personalized experiences, engage customers in a contextualized way, and drive business success.