Deep AI database: Redesigning the Oracle platform

At Oracle World in Las Vegas in October, the founder of Oracle Corp. and CEO Larry Ellison got straight to the point. “AI is changing everything,” Ellison told attendees, and his company’s latest release reflected the transformation taking place in the AI ​​database world.

Oracle has taken a big step in the AI ​​database architecture, with the redesigned Oracle Database and the unveiling of the AI ​​Data Platform at its Las Vegas event. Oracle’s release represents a redesign of its core offerings to facilitate customers’ access to any major AI model by connecting proprietary data. Storage is now a virtual platform and business data is fueling intelligence to drive business.

“Oracle is in a unique position in terms of enterprise AI,” said Dave Vellante, senior analyst at CUBE Research. “Organizations are realizing that they can’t just throw LLMs at the opportunity without a strong data infrastructure. Specifically, a strong database foundation with modern capabilities like vector search and the ability to handle multiple types of data. On April 14, we’ll be digging into the key elements of business AI enablement and how Oracle is approaching AI innovation while addressing AI security.”

Reporting from the New York Stock Exchange, CUBE’s Oracle Data Deep Dive NYC event explores how Oracle is embedding machine learning, vector search and advanced analytics directly into its data platform – and how multi-cloud integration, lakehouse modernization and governance are enabling high-performance production-ready architectures. (* Disclosure below.)

Get a preview of what to expect from CUBE’s event coverage:

The new power of AI databases

Ellison’s remarks at Oracle World last fall coincided with the introduction of AI Database 26ai and Oracle Autonomous AI Lakehouse, both designed to support artificial intelligence training and interpretation across the cloud and on-premises. These latest solutions highlight Oracle’s interest in a strategy that integrates AI capabilities into its core data platforms.

AI functions are naturally embedded in the database to support the application, eliminating the need to move data separately. New capabilities include support for Model Context Protocol servers, enabling AI-to-AI communication. Also included is vector search and a way to deploy AI agents within the database.

Juan Loaiza, senior vice president of database technology at Oracle, spoke to CUBE during the new release and emphasized that his company’s AI Database was not just a way to join the AI ​​marketing show, but represented a fundamental restructuring of the company. The goal was to make life easier for business customers interested in performing semantic search and using AI queries without the need for external tools or databases.

“We’re putting a lot of new AI technology in there, and we’re going further into Lakehouse … and running AI queries against the existing database,” Loaiza said. “We have more than 100 projects in AI in this release of Oracle Database. It’s a brand new database that’s completely embedded in AI, not just in one place, but in the whole stack.”

Strict data privacy protection

The widespread adoption of AI in business has also raised security to new levels of importance. Oracle has responded to this need by moving the implementation of privacy to the database layer itself.

The goal is to prevent data leakage by design, an important requirement for business customers who must ensure compliance in the management of sensitive financial or medical information.

“AI only sees data that the end user is allowed to see,” Loaiza told CUBE. “It’s the same with many other business rules like data integrity, data locking, data validation, and data flexibility. If AI is generating it, and you have to validate it, it’s best to move those capabilities to the database where we can validate under AI.”

Oracle also took steps to protect data from future threats from quantum computers, which improve the ability to quickly decrypt security algorithms. Enhancements include quantum-safe encryption of both data at rest and data in flight based on government-approved algorithms.

Oracle has followed the AI ​​lead used by decades of database professionals through the integration channels of open agent frameworks and widely used large model languages. In early March, the company reported a 44% increase in revenue, easing fears that AI could impact its software business.

“If it can maintain its growth and revenue momentum while containing its capex, that’s a good sign,” said Valoir analyst Rebecca Wettemann in a recent interview with SiliconANGLE. “The good news is that with an independent database, Oracle can deliver an AI infrastructure at a lower cost and with greater efficiency than some of its competitors.”

Live streaming of TheCUBE event

Don’t miss CUBE’s coverage of the Oracle Data Deep Dive NYC event on April 14. Also, you can view exclusive CUBE content on demand after the event.

How to watch CUBE chats

We offer a variety of ways to watch CUBE for the Oracle Data Deep Dive NYC event, including CUBE’s dedicated website and YouTube channel. You can also find all the coverage of this year’s events on SiliconANGLE.

CUBE podcasts

SiliconANGLE’s “theCUBE Pod” is available on Apple Podcasts, Spotify and YouTube, which you can enjoy on the go. During each podcast, SiliconANGLE’s John Furrier and Dave Vellante unpack the biggest trends in business technology — from AI and the cloud to workplace ethics and culture — with exclusive context and analysis.

SiliconANGLE also produces our weekly “Breaking Analysis” program, where Dave Vellante explores the top stories in business technology, combining insights from CUBE with spending data from Enterprise Technology Research, available on Apple Podcasts, Spotify and YouTube.

Visitors

During the Oracle Data Deep Dive NYC event, don’t miss insights from Oracle executives and industry experts who are shaping the future of enterprise AI. Discussions will focus on how Oracle is embedding machine learning, vector search and advanced analytics into its data platform, while addressing multi-cloud integration, lakehouse modernization, governance and data privacy. Visitors will provide ideas on how these capabilities help businesses build AI architectures that are more productive, secure and closer to business outcomes.

(* Disclosure: TheCUBE is a paid media partner of the Oracle Data Deep Dive NYC event. The CUBE event sponsors have no editorial control over content on The CUBE or SiliconANGLE.)

Photo: SiliconANGLE