The growing use of generative AI (GenAI) is changing how businesses manage operations and make decisions. Databases are becoming the core infrastructure of AI-based projects, providing the foundation for use cases that require efficiency and accuracy. It’s now a necessity to use cutting-edge tools such as vector and retrieval-augmented generation (RAG) for processing AI data, and organizations are seeking databases designed to get the most out of their data. TechTarget’s Enterprise Strategy Group recently surveyed IT professionals to gain insights into these trends.
To learn more about these trends, download the free infographic, Rethinking Database Requirements in the Age of AI.
