AI Vector Search in Oracle Database is a new, transformative way to intelligently, efficiently, and accurately search business data by using AI techniques to search data by semantics, or meaning. With the inclusion of a new VECTOR data type, new approximate search indexes, and new SQL operators and extensions, enterprise companies can quickly and easily leverage AI Vector Search to build modern, generative AI applications in just a few lines of SQL. And with this simplicity comes power, as AI Vector Search is fully integrated with Oracle’s enterprise-grade functionality such as transactions and scale-out capabilities. This talk will focus on the technology behind Oracle AI Vector Search, with a deep dive into its underlying mechanics and overall benefits.

Zoom link: https://cmu.zoom.us/my/jignesh

Bio:
Shasank Chavan is the Vice President of the In-Memory Data and AI Technologies group at Oracle. He leads an organization of brilliant engineers working on the nexus between AI systems and modern databases. His team is currently hyper-focused on developing the next-generation, AI-centric data storage engine, designed for in-memory OLTP, Analytics and Vector Search capabilities to power the AI and Generative AI revolution to come. Shasank earned his BS/MS in Computer Science at the University of California, San Diego. He has accumulated 50+ patents over a span of 26 years working on systems software technology.