Organizations are confronted with evolving database requirements crucial for harnessing AI's full potential, including generative AI. And customers are recognizing the powerful potential of building using their own enterprise data. As AI technologies advance, traditional databases often fall short in addressing the demands associated with AI to handle scalability, flexibility, and real-time data processing that can help extract the most valuable data insights that drive the businesses forward. In this talk, Steve Catanzano will explore how AI has forced the reshaping of data management constructs like mission-critical databases, and the desire to apply new tools such as Vector and RAG to build a trusted foundation needed to create new solutions driven by data and AI.
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