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Oracle Introduces an AI-centric Generative Development Infrastructure for Enterprises

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Oracle has unveiled generative development (GenDev) for enterprises, an AI-centric application development infrastructure. This groundbreaking technology leverages Oracle Database 23ai to accelerate AI benefits while mitigating risks. Key features include:

1. JSON Relational Duality Views
2. AI Vector Search
3. APEX integration

GenDev simplifies data complexity and enforces application data rules at the data layer. Oracle Autonomous Database on 23ai is now available in Oracle Cloud Infrastructure and Oracle Database@Azure, offering new capabilities such as:

• RAG and AI Vector Search for more precise LLM responses
• Broader LLM support (Google Gemini, Anthropic Claude, Hugging Face)
• NVIDIA GPU support for AI data operations
• Data Studio AI and Graph Studio enhancements
• Autonomous Database for Developers with flexible pricing options

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Positive

  • Introduction of AI-centric generative development infrastructure for enterprises
  • Launch of Oracle Autonomous Database on Oracle Database 23ai with advanced AI capabilities
  • Integration with multiple LLMs (35 across 7 providers) for broader AI application development
  • NVIDIA GPU support for accelerated AI data operations
  • New pricing model for Autonomous Database for Developers ($0.039/hour)

Negative

  • None.

Insights

Oracle's GenDev infrastructure marks a significant leap in AI-driven enterprise application development. By leveraging Database 23ai, it addresses key challenges in enterprise app creation:

  • Simplifies data complexity management
  • Enforces data rules at the engine level
  • Supports all data types and workloads

This approach could dramatically reduce development time and enhance application quality. The integration of JSON Relational Duality Views and AI Vector Search is particularly innovative, potentially revolutionizing how developers interact with databases. However, the true test will be in real-world implementation and developer adoption rates.

Oracle's GenDev launch is a strategic move in the competitive cloud services market. Key points to consider:

  • Addresses growing demand for AI-integrated development tools
  • Expands Oracle's footprint in the rapidly growing AI infrastructure market
  • Potential to attract new customers and retain existing ones

The introduction of Autonomous Database for Developers at $28.54/month could be a game-changer, making Oracle's advanced features more accessible to smaller teams and startups. This pricing strategy could help Oracle compete more effectively against AWS and Azure in the cloud database market. The multi-LLM support also positions Oracle as a flexible, customer-centric provider in the AI space.

Oracle's GenDev initiative could significantly impact its financial performance:

  • Potential for increased revenue from cloud services and database licenses
  • Higher customer retention due to enhanced product offerings
  • Possible market share growth in the competitive cloud infrastructure sector

The flat-rate pricing for developers ($0.039/hour) could drive adoption and lead to upsells to full enterprise solutions. While initial investment in AI R&D might pressure short-term margins, the long-term benefits could be substantial. Investors should monitor adoption rates and revenue growth in Oracle's cloud and database segments in upcoming quarters to gauge the success of this initiative.

Leveraging Oracle Database 23ai technologies and assisted by AI, developers can focus on building app functionality instead of data infrastructure needs

Oracle Autonomous Database on Oracle Database 23ai and multiple new products and features are now available to support generative development

LAS VEGAS, Sept. 10, 2024 /PRNewswire/ -- Oracle CloudWorld — Oracle today announced generative development (GenDev) for enterprises, a groundbreaking AI-centric application development infrastructure. It provides innovative development technologies that enable developers to rapidly generate sophisticated applications and makes it easy for applications to use AI-powered natural language interfaces and human-centric data. GenDev combines technologies in Oracle Database 23ai, including JSON Relational Duality Views, AI Vector Search, and APEX, to facilitate development using generative AI. With the generation of modular applications, the use of declarative languages, and the automation of the scalability, reliability, consistency, and security necessary for enterprise apps, this innovative development infrastructure accelerates the benefits of AI while helping to mitigate its risks.

In GenDev, data complexity is handled at the data layer, and application data rules, including intent, confidentiality, validation, and integrity are enforced by the data engine. To make this possible, Oracle's converged data engine, Database 23ai, supports all data types and workloads without sacrificing the transparent data consistency, performance, and availability that enterprises require.

"Just as paved roads had to be built for us to get the full benefit of cars, we have to change the application development infrastructure to get the full benefit of AI app generation. GenDev enables developers to harness AI to swiftly generate modular, evolvable enterprise applications that are understandable and safe. Users can interact with data and applications using natural language and find data based on its semantic content," said Juan Loaiza, executive vice president, Mission-Critical Database Technologies, Oracle. "Oracle Database 23ai provides the AI-centric infrastructure needed to dramatically accelerate generative development for enterprise apps."

Developers now also benefit from Oracle Database 23ai capabilities with Oracle Autonomous Database on 23ai, available in Oracle Cloud Infrastructure (OCI) and Oracle Database@Azure. Autonomous Database further simplifies and accelerates GenDev with these new key features:

  • Oracle Autonomous Database Select AI with RAG and other enhancements: Enables customers to reduce the risk of hallucinations by leveraging retrieval-augmented generation (RAG) and AI Vector Search to provide more precise responses to natural language questions when using large language models (LLMs) with enterprise data. Autonomous Database also eliminates the need for expertise in creating AI pipelines to generate and populate vector embeddings.
  • Broader support for LLMs: Helps organizations gain more value from generative AI with built-in integration from Autonomous Database to additional LLMs: Google Gemini, Anthropic Claude, and Hugging Face. Autonomous Database integrates with 35 different LLMs across seven providers to give customers a wide choice in building GenDev applications.
  • Autonomous Database NVIDIA GPU support: Enables customers to access NVIDIA GPUs to accelerate performance of certain AI data operations without having to worry about provisioning or managing GPU servers. Initially, customers can take advantage of Oracle Machine Learning Notebooks that use GPU-enabled Python packages for resource-intensive workloads, such as generating vector embeddings using transformer models and building deep learning models.
  • Data Studio AI enhancements: Enable customers to prepare and load data using natural language, as well as use a visual "drag and drop" tool to create AI pipelines with text and image vector embeddings.
  • Graph Studio enhancements: Enable users to build Operational Property Graph models without code, new in Oracle Database 23ai, using the built-in self-service tool.
  • Autonomous Database for Developers: Enables users to access the rich set of features and tools provided by Autonomous Database at a flat hourly rate. This provides a lower and more predictable entry point ($0.039/hour = $28.54/month) for development use cases with a simple upgrade path to production deployment.
  • Autonomous Database for Developers Container Image: Gives customers the same fixed shape, flat hourly rate, and capabilities of Autonomous Database for Developers in the cloud, but in a convenient downloadable image. Developers continue to have a fully-managed database with a full suite of built-in tools but can run it directly on their laptops and conveniently use it in their CI/CD pipelines.
  • Autonomous Database Select AI—Synthetic Data Creation: Enables customers to simplify and accelerate building development and test instances of Autonomous Database by enabling them to clone a production database and replace the data with realistic test data generated through AI.

Additional Resources

About Oracle
Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at oracle.com.

About Oracle CloudWorld
CloudWorld is where our customers and partners can see the latest innovations in cloud technology, discover methods for getting the most business value from AI today, and explore ways to increase productivity and efficiency through automation. You'll learn from experts and your peers who build and use the applications, cloud infrastructure, databases, developer tools, and AI services that help solve complex business challenges in every industry. Join us to develop new skills and see new capabilities in action. Register now at oracle.com/cloudworld or follow the news and conversation at oracle.com/news and linkedin.com/company/oracle.

Future Product Disclaimer
The preceding is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, timing, and pricing of any features or functionality described for Oracle's products may change and remains at the sole discretion of Oracle Corporation.

Trademarks
Oracle, Java, MySQL and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company—ushering in the new era of cloud computing.

 

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SOURCE Oracle

FAQ

What is Oracle's new GenDev infrastructure and how does it benefit enterprise app development?

Oracle's GenDev is an AI-centric application development infrastructure that leverages Oracle Database 23ai technologies. It enables rapid generation of sophisticated applications with AI-powered interfaces, handles data complexity at the data layer, and enforces application data rules, accelerating AI benefits while mitigating risks for enterprise app development.

What new features does Oracle Autonomous Database on 23ai (ORCL) offer for AI-driven development?

Oracle Autonomous Database on 23ai offers RAG and AI Vector Search for precise LLM responses, broader LLM support including Google Gemini and Anthropic Claude, NVIDIA GPU support for AI data operations, Data Studio AI enhancements for natural language data preparation, and Graph Studio improvements for codeless Operational Property Graph model building.

How does Oracle's new pricing model for Autonomous Database for Developers work?

Oracle introduced a new flat hourly rate pricing model for Autonomous Database for Developers. It provides access to a rich set of features and tools at $0.039 per hour, which equates to $28.54 per month. This offers a lower and more predictable entry point for development use cases with a simple upgrade path to production deployment.

What LLM integrations are now available with Oracle Autonomous Database (ORCL)?

Oracle Autonomous Database now integrates with 35 different Large Language Models (LLMs) across seven providers, including new additions like Google Gemini, Anthropic Claude, and Hugging Face. This broad support gives customers a wide choice in building GenDev applications using various AI models.
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