Oracle's AI Revolution: Understanding data insights

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!

Register today September 30, 2025 8:30 a.m. PT

Guest speaker Tirthankar Lahiri Tirthankar Lahiri is Senior Vice President of Mission-Critical Data and AI Engines for Oracle Database. He is responsible for the Data Engine for Oracle Database, including areas like AI vector search, indexing, in-memory columnar , data compression, time travel, etc. He also manages the Oracle TimesTen In-Memory Database and the Oracle NoSQLDB product teams. Tirthankar has 30 years of experience in the database industry, and has worked on a variety of areas such as performance, scalability, manageability, caching, in-memory architectures, and developer-focused functionality. He has 71 issued and several pending patents, a B.Tech in Computer Science from the Indian Institute of Technology and an MS in Electrical Engineering from Stanford University.