Oracle Unveils OCI Generative AI Service for Enterprise Use


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  • Oracle’s OCI Generative AI service empowers enterprises with multilingual AI models for automation and customization.
  • AI Quick Actions feature enhances OCI Data Science platform for efficient model management.
  • While Oracle’s offering integrates with key applications, it faces competition from leaders like Microsoft and AWS in the generative AI landscape.

Oracle Corporation has officially launched its Oracle Cloud Infrastructure (OCI) Generative AI service, designed to empower large enterprises with the latest generative artificial intelligence technology. This fully managed, cloud-hosted offering enables businesses to integrate powerful language models like Meta Platform’s open-source Llama 2 and Cohere Inc.’s proprietary algorithms into their existing systems, automating various manual processes.

Key features of OCI generative AI service

Multilingual support: The OCI Generative AI service offers support for over 100 languages, ensuring versatility in its applications.

Enhanced cluster management: Oracle has improved cluster management for graphics processing units (GPUs), making it easier for enterprises to utilize these resources effectively.

Flexible fine-tuning: The service provides flexible fine-tuning options, allowing businesses to tailor generative AI models to their specific needs.

API integration for text generation and more

Oracle’s OCI Generative AI service allows users to consume models via application programming interfaces (APIs) for various tasks such as text generation, summarization, and semantic similarity. This integration can be seamlessly embedded within a company’s existing technology stack while maintaining robust data security and governance protocols.

Augmenting generative AI models with custom data

One limitation of powerful AI models like Llama 2 and Cohere’s algorithms is their need for customization with internal data to be truly useful for businesses. To address this, Oracle offers the OCI Generative AI Agents service, which permits the use of proprietary data to enhance these models. This service employs retrieval-augmented generation techniques to fine-tune generative AI models, providing more relevant and contextualized responses. It utilizes enterprise search capabilities built on OCI Open Search to access the latest information for improved responses and predictions.

Integration plans for diverse data sources

Oracle’s roadmap for the OCI Generative AI service includes plans to integrate a broader range of data search and aggregation tools, such as Oracle Database 23c with AI Vector Search and MySQL HeatWave with Vector Store. Furthermore, prebuilt agent actions will be supported across Oracle’s suite of software-as-a-service applications, including Oracle Fusion Cloud Applications Suite, Oracle NetSuite, and Oracle Cerner.

Deployment options and integration

Oracle’s OCI Generative AI service is available in beta test mode and can be accessed through the Oracle Cloud in multiple regions. It also offers on-premises accessibility through the OCI Dedicated Region platform. The service is set to integrate seamlessly with Oracle’s cloud-based business applications, including Enterprise Resource Planning, Human Capital Management, Supply Chain Management, and Customer Experiences apps. Additionally, Oracle plans to incorporate its generative AI service into its database portfolio via the Autonomous Database Select AI feature.

Expanding capabilities of OCI data science platform

In addition to the OCI Generative AI service, Oracle is enhancing its OCI Data Science platform by introducing an AI Quick Actions feature in beta next month. This feature will enable no-code access to various open-source large language models like Hugging Face Inc.’s Transformers or PyTorch, allowing customers to build, train, deploy, and manage these models more efficiently.

Oracle’s commitment to real-world use cases

Greg Pavlik, OCI’s Senior Vice President of AI and Data Management, emphasized Oracle’s focus on using generative AI to address real-world business challenges. By integrating generative AI into various layers of the technology stack, Oracle aims to offer a suite of prebuilt generative AI services and features that work cohesively to help enterprises solve complex problems more efficiently.

Industry analyst perspective

Andy Thurai, Vice President and Principal Analyst at Constellation Research Inc., pointed out that Oracle’s OCI Generative AI service stands out due to its unique accessibility, available both in the cloud and on-premises. However, he also noted some limitations, including its support for only a narrow range of use cases such as text generation and summarization, as well as its reliance on Cohere and Meta’s Llama 2 models.

Thurai acknowledged that in terms of generative AI offerings, Oracle lags behind major competitors like Microsoft, Google, and Amazon, which offer greater functionality and deployment options. Nevertheless, he suggested that Oracle’s integration with ERP, HCM, SCM, and CX applications running on OCI could attract enterprises if priced competitively.

Oracle’s launch of the OCI Generative AI service represents a significant step in the company’s efforts to establish itself as a player in the generative AI development space. By providing both cloud and on-premises access and integrating with its suite of business applications, Oracle aims to offer a comprehensive solution for enterprises looking to leverage generative AI technology. While facing competition from industry leaders, Oracle’s strategic approach could resonate with businesses seeking a well-integrated solution for their AI needs.

Disclaimer. The information provided is not trading advice. Cryptopolitan.com holds no liability for any investments made based on the information provided on this page. We strongly recommend independent research and/or consultation with a qualified professional before making any investment decisions.

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Glory Kaburu

Glory is an extremely knowledgeable journalist proficient with AI tools and research. She is passionate about AI and has authored several articles on the subject. She keeps herself abreast of the latest developments in Artificial Intelligence, Machine Learning, and Deep Learning and writes about them regularly.

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