Potential of Generative AI in Enterprises
AI is revolutionizing our engagement with the world, providing organizations with opportunities and challenges. Generative AI, in particular, excels at assimilating knowledge, automating tasks, and fostering human creativity and productivity. It empowers users by enabling document summarization, table building, and generating meaningful text. Nonetheless, the unique needs of enterprise customers have largely gone unaddressed.
Oracle’s Generative AI: A Strategy Tailored for Enterprises
Oracle’s approach is tailored to meet the diverse needs of enterprises when it comes to AI, via three channels: Infrastructure, Models and Services, and Application Integration.
AI Infrastructure: The Building Block
In collaboration with NVIDIA, Oracle provides customers with superclusters powered by state-of-the-art GPUs and an ultra-low-latency RDMA over Converged Ethernet (RoCE) network. This infrastructure, which offers an efficient and cost-effective solution, enables training of generative AI models at scale. As a result, AI startups such as Adept and MosaicML are drawn to this robust and scalable platform.
Models and Services: User-friendly and Efficient
Oracle offers user-friendly cloud services for developers and scientists, managing implementations completely. In partnership with Cohere, a leading pioneer in large language models (LLMs), we actively promote innovative generative AI services and business functions. Through this collaboration, we develop OCI Generative AI, a new service that empowers OCI customers to effortlessly integrate generative AI into their applications and workflows using straightforward APIs.
Applications: Enhancing Workflows and Business Operations
Generative AI has been seamlessly integrated into daily business apps and workflows, as Oracle takes the initiative to incorporate generative AI from Cohere into its Fusion, NetSuite, and SaaS portfolio. This integration enables organizations to promptly harness its power, resulting in automated key business functions, enhanced decision-making, and elevated customer experiences across various industries. A notable instance is Oracle Cerner, which oversees billions of EHRs in healthcare and leverages generative models to automatically generate patient discharge summaries.
The Oracle Advantage in Generative AI
Oracle offers a diverse array of generative AI solutions for applications and infrastructure, delivering improved security, performance, efficiency, and value. Our track record in managing valuable business data and utilizing a modern data platform makes us the ideal choice for generative AI. Furthermore, our enterprise-focused offering addresses cloud-to-on-premises data, deployment to business apps, data privacy, and high-quality LLMs, guaranteeing success for enterprises.
High-performing Models Tailored to Your Business
We work relentlessly to create the best models using our unique data and industry knowledge. Our models can be further refined using your organization’s data, ensuring they understand your business like no other.
Unparalleled Data Security, Privacy, and Governance
We ensure full protection of your data as you refine and train prebuilt generative AI models. Our generative AI models are customer-specific and don’t mix customer data. We provide tools to trace data provenance and lineage while prioritizing data privacy and sovereignty.
Embedded Generative AI Services Across Oracle Applications
We’re integrating AI across our cloud applications portfolio and making generative AI capabilities available in the same way that we introduced machine learning features in our Oracle Database service and MySQL HeatWave.
Generative AI: Accessible Wherever You Need It
Our upcoming OCI Generative AI service will be available on Oracle Cloud Infrastructure (OCI), allowing you to pay for what you use, scale on demand, customize models, and create private model endpoints. We can also deliver the complete AI stack to your data center with cloud deployment options, facilitating the integration of generative AI capabilities with on-premises data and applications.
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