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AI for Data: When Data meets Intelligence

Live Webinar
September 30, 2025
8:30 a.m. PT
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Oracle's AI Revolution: Understanding data insights

AI is triggering an incredible transformation across the industry enabling breakthrough improvements in productivity and enabling 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 allows developers to build sophisticated RAG and Agentic frameworks which 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!

Guest Speaker

Tirthankar Lahiri

Tirthankar Lahiri

SVP, Mission-Critical Data and AI Engines
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.

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