Part II of Data for AI: When Data Meets Intelligence

AI is driving a remarkable transformation throughout the industry, delivering unprecedented productivity gains and enabling rapid insights from vast amounts of data. In the second of a two-episode season premiere, Tirthankar Lahiri, SVP of Mission-Critical Data and AI Engines, discusses how Oracle AI Vector and embedded machine learning search are harnessing the power of AI to unlock value from enterprise data. AI is triggering an incredible transformation across the industry, enabling breakthrough improvements in productivity and rapid insights across massive volumes of data. However, in order to fully harness the power of AI, it is necessary to enable AI processing where the data resides. Oracle AI vector and built-in-machine learning search bring the power of AI to enterprise data, and allow developers to build sophisticated RAG and Agentic frameworks that leverage the full power of the converged database architecture of Oracle Database — including its class-leading scalability, fault-tolerance, and enterprise-grade security. Furthermore, Oracle database provides several mechanisms to make data "AI-ready" by enabling declarative data intent for AI. In this session, we will describe these techniques, and more, to explain how to truly build an AI for data solution in this rapidly changing AI landscape!