Oracle’s new generative AI capabilities are set to usher in an entirely new era of productivity.  

Continuing to lead the wave of innovations and machine learning, Oracle recently announced that it will be embedding AI across all layers of the technology stack - including applications and converged databases – all while offering new large language models (LLMs) and managed services. Everything is supported by a fast and cost-effective AI infrastructure.  

The latest updates include the general availability of the OCI Generative AI service, multilingual capabilities that support over 100 languages, an improved GPU cluster management experience, and flexible fine-tuning options. Customers can leverage OCI Generative AI service in the Oracle Cloud and on-premises via OCI Dedicated Region. 

Here’s an overview of Oracle's most prominent Generative AI models and how they can help customers solve business problems smarter and faster. 

Customizable Generative AI Models 

New generative AI capabilities will be integrated into Oracle Fusion Cloud Applications, Oracle NetSuite, and industry-specific applications like Oracle Health.  

These capabilities, fueled by models from OCI Generative AI, will initially focus on Summarization and Assisted Authoring. This includes tasks such as summarizing performance reviews, assisting in authoring job descriptions, creating goals, writing knowledge articles, and generating relevant customer service emails. Placing these AI capabilities directly into the software environments used daily by your workforce will empower them with heightened productivity and effectiveness in their core tasks and workflows. 

Furthermore, using Autonomous Database Select AI, customers can employ LLMs for natural language queries instead of writing SQL when engaging with Oracle Autonomous Database — allowing them to accelerate AI adoption in their application development processes. 

Retrieval-Augmented Generation (RAG) Service 

The recent announcement also introduced the beta availability of the Retrieval-Augmented Generation (RAG) service - Oracle’s customizable solution for engaging in conversations and taking actions based on diverse knowledge bases. As part of this feature, employees can ask questions and gain insights from siloed sources across your company through natural conversations. Instead of simply displaying the list of documents found, the RAG service utilizes a combination of the vector database, embeddings model, and text generation model to produce natural language responses that answer the original question, supported with references and links to the original source documents. 

The most advantageous aspect of this service is that it democratizes data access — you don’t have to rely on specialist teams with advanced skills to query different corporate data stores. You only need to submit your questions in plain language, and the service will retrieve real-time data to answer them on the fly. 

The RAG service stands poised to elevate business productivity and enrich the customer experience, both by increasing sales opportunities and by facilitating swift access to valuable information for every employee. 

Data Science AI Quick Actions Feature 

OCI Data Science AI Quick Actions, a no-code feature within the OCI Data Science service, grants users access to diverse open-source LLMs, including options from Meta and Mistral AI. Once generally available, it will broaden access to the top offerings from the open-source community. The feature not only provides access to curated models for fine-tuning, evaluation, and deployment with user data but also offers a comprehensive ecosystem with user-friendly workflows, integrated telemetry, visualizations, and simplified execution processes.  

Upon general availability, AI Quick Actions offers verification, environment pre-check, curated and pre-tested models, deployment options, model search and filtering, flexible model selection, a few-clicks interface for fine-tuning tasks, guided steps, direct monitoring from the console, and a playground feature for quick testing of deployed models. 

UNLOCKING ORACLE AI OPPORTUNITIES 

Beyond delivering an integrated and seamless AI experience, Oracle is ensuring its availability precisely where users require it. Users can employ Oracle Cloud Infrastructure (OCI) Generative AI within the Oracle Cloud, taking advantage of public cloud benefits for scalable solutions, customized models, and the creation of private model endpoints for business purposes. With OCI Dedicated Region, Oracle is further extending the delivery of generative AI services to your data centers, facilitating the integration of generative AI capabilities with on-premises data and applications. 

Here are some ways you can use Oracle’s AI Infrastructure to directly uncover business value: 

ENHANCED DATA MANAGEMENT AND ANALYTICS  

The integration of AI with OCI empowers you with advanced data management and analytics capabilities. Now, you can harness AI to analyze extensive datasets, enabling your team to derive actionable insights as and when needed. Predictive analytics also becomes more accessible, allowing you to quickly identify trends and patterns, streamline automated reporting processes, and interpret complex data trends. 

IMPROVED EFFICIENCY AND AUTOMATION 

From IT operations to customer service, routine tasks can now be automated, reducing the workload on your IT staff and minimizing the risk of human error. This extends to tasks like database tuning, backups, and security patches. Rest assured AI models can also automate responses to customer inquiries and support requests, further enhancing efficiency in customer service operations. 

ENHANCED SECURITY 

OCI's integration with AI significantly enhances the security posture of cloud environments through real-time analysis of network traffic, log data, and user activities. The integration also paves the way for a proactive and robust security framework, incorporating anomaly detection capabilities and enabling automated responses to security incidents. 

COST OPTIMIZATION 

Via intelligent analysis of usage patterns, AI recommends resource adjustments such as scaling resources up or down, ensuring you pay only for the resources they actively use. This dynamic resource allocation strikes a balance between cost-effectiveness and performance. 

INNOVATION AND COMPETITIVE ADVANTAGE 

The synergy between OCI and AI provides you with the tools to develop and deploy innovative applications and services. Leveraging AI models and machine learning algorithms, you can now create personalized customer experiences, optimize supply chains, and introduce new products or services.  

SCALABILITY AND FLEXIBILITY 

Customers can easily scale AI workloads based on demand without concerns about the underlying infrastructure. This scalability is particularly crucial for applications with variable workloads or businesses experiencing growth. 

INDUSTRY-SPECIFIC SOLUTIONS 

OCI and AI integration offer tailored solutions for a wide range of industries, including healthcare, finance, retail, and manufacturing. For instance, healthcare organizations can utilize AI for tasks like medical image analysis or predicting patient outcomes. In retail, AI facilitates personalized marketing, while manufacturing industries benefit from AI-driven solutions that optimize operations. 

MAXIMIZE ORACLE AI CAPABILITIES WITH GSI  

The Oracle AI platform uniquely offers a complete stack of high-performance infrastructure, incorporating built-in AI and ML with database and analytics products, along with AI services and a generative AI service for application development. And this is just the beginning. 

To successfully access generative AI, you need a highly trained team capable of assisting you with new features, functions, training, and other services. As an Oracle Managed Service Provider with decades of collective experience, we are uniquely suited to push the boundaries of technology with AI and apply the models across numerous business cases. 

Schedule a free consultation, and our team can guide you through everything from configuring AI infrastructure to choosing, customizing, and deploying models integrated with your business applications.