Oracle AI Database 26AI: Revolutionizing AI-Driven Applications and Analytics

[MUSIC PLAYING] JUAN LOAIZA: AI changes everything. Oracle AI Database 26ai introduces hundreds of major new

features and thousands of enhancements. This is a monumental release that delivers breakthrough capabilities

in architectural simplicity across four key focus areas. Application development, analytic lakehouses, mission-critical workloads, and especially AI.

With Oracle AI Database's converged architecture, you can infuse AI into all your mission-critical applications, data types, and workloads to achieve breakthrough innovations

and productivity. [MUSIC PLAYING] GERALD VENZL: One major focus area

is making it dramatically simpler and faster for developers to work with data at scale. Oracle AI Database includes the ability

to simply and efficiently query data as graphs, and the ability to store and access data as JSON documents with ultra-high performance and MongoDB compatibility.

Further, Oracle AI Database goes well beyond just providing the major data types. It now unifies the relational, JSON, and graph data models.

Now, developers can get the benefits of all the models at the same time. For example, an app can access data

in the relational format using SQL, while other apps can access the exact same data as a JSON document or as a graph.

This is a huge breakthrough, unique to Oracle, that's going to change the way how developers access and process data.

To provide a full AI developer experience, Oracle's next generation of development tools, including APEX AI interactive reports, APEX AI Application

Generator, and SQL Developer, enable developers to rapidly generate schemas, SQL, reports, and even entire applications starting

from natural-language prompts. Others include JavaScript stored procedures, Kafka-compatible APIs, Property Graph Queries, and full consistency

for stateless REST APIs. These are just a few of the dozens of development-focused features in Oracle AI Database that

will dramatically improve developer productivity and innovation. [MUSIC PLAYING]

ÇETIN ÖZBÜTÜN: Our second major focus area is AI analytics and open data lakes. What if you could easily run sophisticated AI analytics

across all the data in your enterprise? Now, with the Oracle Autonomous AI Lakehouse and the Apache Iceberg open table format, you can.

Every major analytics platform is adding support for storing data lake data using the industry standard Apache Iceberg table format.

Oracle Autonomous AI Lakehouse uniquely enables you to run the industry's most comprehensive AI and analytic SQL on Iceberg data with Exadata performance

and pay-per-use, serverless scaling. You get everything great about Iceberg data sharing, plus everything great about Oracle

Analytics in a unified, autonomous data lake while helping to avoid lock-in, data movement, or security and compliance risk.

These are just a few of the dozens of features in Oracle Autonomous AI Lakehouse that will help you generate new business insights

and produce more value from all your data. Others include multi-vendor catalog federation, Delta Share, and Spark integration.

[MUSIC PLAYING] JENNY TSAI-SMITH: Another major focus area is making your mission-critical data architecturally

simple and scalable across the entire stack. For example, with Oracle AI Database 26ai, we've addressed caching issues for developers.

While there are many vendors out there that claim to offer caches deployed in the mid tier, none of them are real caches.

App developers still have to write code to manually populate and maintain the data in the cache, while doing

the extra work of keeping it consistent with the backend database. In contrast, Oracle's True Cache feature

delivers a cache that's always consistent with the data in the database because changes are automatically propagated to True Cache in real time.

Now, many of you are familiar with globally distributed databases. They break down a single logical database

into multiple physical databases, either to enhance scalability, availability, or to support data sovereignty requirements

by distributing data across different geographies. With Raft replication, Oracle AI Database 26ai makes it easy to deploy multi-master active-active distributed

databases that can failover in only about three seconds with zero data loss. So your most important data is protected, no matter where

it's located. And to further safeguard your data, we've also addressed the growing risk

posed by SQL injection attacks. Oracle AI Database 26ai delivers SQL Firewall built directly into the database itself to help minimize latency and complexity.

Unlike mid-tier SQL firewalls, it's been engineered to help prevent bad actors from bypassing it. [MUSIC PLAYING]

MARIA COLGAN: AI is reshaping every industry and redefining what's possible. That's why Oracle AI Database has AI at its very heart.

But what you may not realize is that 20 years before AI became the headline topic, Oracle customers were already training and running machine learning models

right next to their data, with no extra servers or messy integrations. Historically, databases have been

limited to querying structured and semi-structured data. Now, with Oracle AI Database, we've introduced AI Vector Search, a breakthrough technology that

enables searching for documents, images, videos, audio, and structured data based on their semantic content or meaning, rather than the words or pixels

that make them up. And because AI Vector Search is built into the database, you can easily run queries that combine both structured business

data and unstructured data to provide accurate, nuanced answers to real-world business questions. AI Vector Search makes it easy to implement capabilities

like personalized recommendations. You can recommend products by comparing a user's actions or purchase history to find related products

in your catalog. You can also easily combine AI Vector Search with LLMs to search for private, unstructured data

that an LLM can use to answer natural language questions using a technique called retrieval-augmented generation.

For example, you can answer customer support questions by searching product documentation and support history to find answers

that are semantically similar to the question being asked. While some AI solutions become complex, costly, and slow at scale, Oracle AI Database enables mission-critical AI

at scale with Oracle's unique engineered system, Exadata. By upgrading your Exadata software, you can offload AI vector queries

to Exadata intelligent storage, enabling them to run significantly faster. Vector offload works with traditional Exadata

or the new Exadata Exascale software architecture, which adds extreme elasticity and low cost to Exadata, making all Exadata benefits available for smaller workloads

and businesses. Oracle has also made it easy for end users to analyze business data using natural language.

Oracle's natural language to SQL capabilities make it fast and easy for developers and end users to generate complex SQL that answers analytical questions.

With Oracle's Model Context Protocol, or MCP support, LLMs can access your database to answer complex questions that require the LLM to try multiple paths

and ask for additional data as the reasoning process progresses. Schema annotations explain the content of the tables

to the LLMs, providing the context the LLM needs to understand your data. Using these capabilities, you can now easily build AI agents

that tap into live business data, run queries, apply AI and ML models, and return results in real time.

It's a much faster path from question to insight and from insight to action. These are just a few of the many AI features

in Oracle AI Database that will help you thrive in the age of AI. Others include sophisticated vector indexes, Select AI,

full RAG directly from SQL, AI management and security assistants. [MUSIC PLAYING]

JUAN LOAIZA: As you've seen, Oracle AI Database 26ai is truly a monumental release with hundreds of major, industry-leading capabilities.

We've engineered app development, analytics, and mission-critical to work together with AI so you can easily achieve breakthrough insights,

innovation and productivity. Plus, you transparently benefit from every one of Oracle's mission-critical capabilities.

This means you can immediately use AI for your enterprise apps of any size and criticality. Better yet, it's all available at no extra charge on-premises,

on all leading hyperscalers, or in a cloud model in your data center. Thanks for joining us.

I hope you're as excited as we are about these amazing new technologies. [MUSIC PLAYING]