This interview is recorded at Oracle Data Deep Dive 2026 during the Oracle AI World Tour in New York City and features Jenny Tsai-Smith of Oracle, senior vice president of database product management. Tsai-Smith explains how artificial intelligence reshapes enterprise application development and frames GenDev as a blend of philosophy, best practices and technology. They highlight Oracle APEX AI Application Generator, AI agents, Oracle AI Database capabilities including autonomous AI vector stores, agent memory and integration with open formats such as Apache Iceberg.
Key takeaways emphasize trust, privacy and developer productivity. Tsai-Smith states that trust equals confidence in data correctness, access controls and outcomes and that these concerns are addressed through features such as Deep Data Security and propagated user identity. They highlight simplified autonomous AI vector databases for lower cost and ease of use, agent factories for no-code agent creation and learning resources such as LiveLabs Docker images and FreeSQL to accelerate adoption.
Watch to learn practical guidance on generative development, agent memory and secure AI for application development, and how Oracle integrates AI into database and developer workflows to improve productivity and governance.
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Jenny Tsai-Smith, Oracle
This interview is recorded at Oracle Data Deep Dive 2026 during the Oracle AI World Tour in New York City and features Jenny Tsai-Smith of Oracle, senior vice president of database product management. Tsai-Smith explains how artificial intelligence reshapes enterprise application development and frames GenDev as a blend of philosophy, best practices and technology. They highlight Oracle APEX AI Application Generator, AI agents, Oracle AI Database capabilities including autonomous AI vector stores, agent memory and integration with open formats such as Apache Iceberg.
Key takeaways emphasize trust, privacy and developer productivity. Tsai-Smith states that trust equals confidence in data correctness, access controls and outcomes and that these concerns are addressed through features such as Deep Data Security and propagated user identity. They highlight simplified autonomous AI vector databases for lower cost and ease of use, agent factories for no-code agent creation and learning resources such as LiveLabs Docker images and FreeSQL to accelerate adoption.
Watch to learn practical guidance on generative development, agent memory and secure AI for application development, and how Oracle integrates AI into database and developer workflows to improve productivity and governance.
In this interview from Oracle Data Deep Dive NYC 2026, Jenny Tsai-Smith, senior vice president of overall database product management at Oracle, joins theCUBE's Dave Vellante to discuss how Oracle is building trust and simplicity into the data layer to support enterprise-grade AI application development. Tsai-Smith introduces GenDev — generative development for the enterprise — as a blend of philosophy, best practices and technology designed to help organizations generate code at speed without sacrificing trust. She explains that producing thousands of lines ...Read more
