Oracle has held its event in Las Vegas AI Worldfocused as its name indicates on new company products and services focused on AI, as well as updating others to incorporate said technology. Thus, their data platform has seen the light AI Data Platformyour database AI Database 26i and various agentic AI tools.
AI Data Platform is a platform designed to help customers securely connect generative AI models to their data, applications, and business workflows. By combining automated data ingestion, semantic enrichment, and vector indexing with integrated generative AI tools, Oracle AI Data Platform simplifies the entire process from raw data to production-ready AI solutions.
Main features of AI Data Platform
Oracle AI Data Platform prepares data for AI and allows you to create and deploy agent-based applications thanks to the combination of the functions of Oracle Cloud Infrastructure, Oracle Autonomous AI Database and the OCI Generative AI service.
Business users get reliable real-time information and AI agents that automate routine tasks, identify growth opportunities, and integrate intelligence into their daily workflows. For their part, developers and data teams benefit from an enterprise-grade platform to build and scale these solutions.
The platform integrates NVIDIA’s accelerated computing infrastructure, allowing you to choose the latest generation of GPUs and libraries for high-performance workloads, allowing you to gain productivity and impact across all business areas.
Oracle AI Data Platform provides an enterprise foundation for data and AI. Customers can build their data lake with open formats, such as Delta Lake and Iceberg, which helps eliminate data duplication. Additionally, the AI Data Platform portfolio provides a unified view and end-to-end governance of all data and AI assets, facilitating regulatory compliance.
The catalog also supports AI agents and tools based on open standards, such as Agent2Agent (A2A) and Model Context Protocol (MCP), allowing customers to build advanced multi-agent systems. Finally, business users benefit from the Agent Hub, which simplifies interaction with multiple agents: interprets requests, invokes the appropriate agents, provides recommendations and allows immediate action.
Oracle AI Data Platform enables customers to turn data into intelligence by making it easy to transform raw data into actionable insights and smarter decisions by unifying data lake and AI on one platform.
It also accelerates innovation across teams, with a common work environment for data scientists, engineers, and AI developers, driving collaboration and building AI-enabled applications. It also automates and scales business processes by going beyond data analysis with AI agents that orchestrate workflows, activate alerts and improve efficiency to generate results.
On the other hand, the platform is prepared for the business environment from day one. Thus, it offers the scale, performance and reliability necessary to adopt AI in critical environments, combining the power of OCI, open source engines, industry analysis and Oracle Autonomous AI Lakehouse.
Thanks to the functions Zero-ETL y Zero Copycustomers can seamlessly access critical data from their business applications in areas such as finance, human resources, supply chain, marketing, sales or customer service. Also to information from existing sector applications and corporate databases.
Oracle AI Data Platform enables orchestration in multicloud and hybrid environments, making it easy to connect, process, and analyze data from any environment: public cloud, on-premises infrastructure, or edge. Additionally, AI agents can operate seamlessly across both Oracle applications and third-party solutions, enabling AI-driven innovation to scale across the business.
The company plans, for all its main application suites, offer a customized version of AI Data Platform with pre-configured integrations. Even for Oracle Fusion, NetSuite and specific solutions for sectors such as healthcare, consumer, financial services or construction. Additionally, curated, enriched, and AI-ready data from Oracle Fusion Data Intelligence will be available directly on the platform.
Oracle AI Database 26ai
Oracle AI Database 26ai integrates AI into the core of data managementadvancing Oracle’s vision of “AI for data.” That is, a next-generation native AI database that applies AI across the entire data and development stack, including AI vector search.
The AI capabilities built into Oracle AI Database give customers the freedom to build and deploy AI applications, with support for the Apache Iceberg open table format; the Model Context Protocol (MCP); the main LLMs in the sector; the most popular agentic AI frameworks and Open Neural Network Exchange (ONNX) embedding models.
Oracle AI Database’s advanced functionality brings AI to data securely, efficiently, and reliably, regardless of where it resides. Whether on Oracle Cloud, leading hyperscalable clouds, private cloud, or on-premises.
Oracle AI Database implements NIST-approved quantum-resistant algorithms (ML-KEM) to encrypt data in transit. Combined with existing quantum-resistant encryption for data at rest, Oracle AI Database’s data protection approach is designed to prevent cybercriminals from collecting information and decrypting it later with quantum computers.
Oracle AI Database 26ai is a long-term supported release that replaces Oracle Database 23ai, and customers can apply the October 2025 update to upgrade from 23ai to the features available in 26ai. You will receive the new features immediately. There is no need to update the database or re-certify applications. Advanced AI features such as vector search are included at no additional cost.
In Oracle AI Database 26ai it is includes Oracle Autonomous AI Lakehousewhich supports the Apache Iceberg open table format. Additionally, it is available on Oracle Cloud Infrastructure, AWS, Microsoft Azure, and Google Cloud. It is interoperable with Databricks and Snowflake and offers Exadata-based performance and pay-as-you-go serverless scaling.
Additionally, it features unified hybrid vector search, which combines AI vector search with relational, text, JSON, knowledge graph, and spatial searches, allowing you to retrieve documents, images, videos, audio, and related structured data. It also lets you combine AI vector search with LLM to find private data that an LLM can combine with public data to answer business questions.
It also supports the MCP server, allowing LLM-powered AI agents to access an organization’s database to answer questions using iterative reasoning. AI agents can explore multiple solution paths and ask for more data during their analysis to produce better, more accurate results. Integrates data privacy protection by applying security, privacy and compliance standards in the database.
Oracle Exadata for AI accelerates AI at scale by delivering hardware and software designed together for maximum performance and availability. Exadata can accelerate AI vector queries by offloading them to Exadata intelligent storage. Vector downloading also works with the new Exadata Exascale software architecture, which provides more extreme elasticity and lower cost. Additionally, unique remote direct memory access (RDMA) algorithms accelerate AI by enabling ultra-low-latency, high-throughput data access from storage and between nodes in a cluster.
Automatic data sorting delivers low memory latency, and high flash memory IOPS and disk capacity; while reducing storage space using Hybrid Columnar Compression (HCC).
As to Exadata Database Service en Exascale Infrastructuresupports Oracle Database 19c on OCI, Azure, and Google Cloud. On the other hand, relational, JSON and graphic data models have been unified for greater simplification. Users can choose, create, deploy, and manage AI agents within the Oracle Autonomous AI Database, and the Private AI Agent Factory offers a no-code AI agent builder as well as a deployment framework.
New AI Agents and AI Agent Studio
Other main novelties presented by Oracle at AI World are the extension of AI Agent Studio for Fusion Applicationswhich incorporates a new marketplace, new large language models and a network of partners. More than 32,000 experts certified and trained in Oracle AI Agent Studio will be in charge of accompanying clients in their optimization of the use of AI through the company’s solutions.
The new AI agents in Fusion Applications are designed to transform business management and optimize the areas of finance and Human Resources, as well as the supply chain. The new AI agents integrated into Oracle Fusion Cloud Applications will serve to improve decision making, accelerate processes and reduce costs. These solutions are responsible for facilitating the automation of tasks, optimizing planning and increasing operational efficiency.
On the other hand, Oracle has announced AI Agent Studio and AI Agent Marketplace with new features and possibilities. Both platforms allow customers and partners to create, test and deploy personalized agents throughout the company or organization in which they work.
Regarding the new AI Agent Marketplace, Embed partner-developed AI agents directly into Oracle Fusion Cloud Applicationswith the aim of streamlining operations and improving efficiency. The integration of OpenAI, Anthropic, Cohere, Google, Meta and xAI into Oracle AI Agent Studio for Fusion Applications gives more flexibility to the platform.
