Introduction
Using simple text prompts, generative AI is revolutionizing how we use technology. This blog will explain Oracle's use of generative AI in cloud infrastructure, business processes, and customer experiences. Discover how Oracle democratizes generative AI for businesses worldwide, regardless of your AI experience. Now, let's get started!
What Is Generative AI?
The term "Generative AI" (GAI) refers to a subset of artificial intelligence (AI) machine learning technologies that have recently gained the capacity to produce content quickly in response to text prompts. This content can be concise and straightforward or very long and intricate. While various generative AI tools can create original video, image, and audio content, text-oriented conversational AI has captured people's attention. In essence, text-trained generative AI models can converse with people and teach them like that of human beings.
Quickly Adopt Generative AI With Oracle
Oracle is at the forefront of generative AI development and activities and has a long history of working with artificial intelligence capabilities and incorporating them into its products. Leading productive AI companies use Oracle Cloud Infrastructure. Businesses can use this next-generation cloud as the ideal platform to create and implement customized generative AI models unique to their companies and business segments.
All Oracle cloud data centers have high-bandwidth, low-latency RDMA [remote direct memory access] networks, perfect for building the massive GPU clusters required to train large-scale generative language models. When running generative AI workloads in our Gen 2 cloud, top AI development companies choose Oracle over all other options due to its outstanding efficiency and associated cost savings.
Making Generative AI Truly Suitable For Business
Oracle ensures you get the most out of its generative AI features by concentrating them on the difficulties encountered in routine tasks and workflows. While many tech companies discuss generative AI, many must consider the end-to-end procedures required to integrate it into regular business operations successfully. Large language models (LLMs) hosted on Oracle Cloud Infrastructure (OCI) receive prompts that include business context, which Oracle is integrating into these models based on a thorough understanding of what it takes to develop software that powers businesses.
This business-oriented approach aligns with our long-standing practice of integrating traditional AI functionalities into Fusion Applications. Customers can use generative AI capabilities wherever and whenever they need them as they do their daily business. Furthermore, Oracle reassures businesses by designing each generative AI feature with security and human review procedures in mind, as many companies are apprehensive about utilizing generative AI.
Oracle Injects AI Into The Database
Oracle is extending the use of NVIDIA's most
potent H100 AI processors in their cloud, highlighting the networking speed and
cost benefits the cutting-edge chips bring to the Oracle cloud computing
service to give businesses access to generative AI tools. Clients are
answering: Two times as much as at the end of Oracle's fiscal fourth quarter,
AI development companies have contracts to acquire over $4 billion in training
capacity on Oracle Cloud Infrastructure (OCI).
AI Apps Innovators Program
Customers can collaborate directly with our AI product managers, developers, and data scientists as we create new AI features through Oracle's AI Apps Innovators Programme. As part of the program, customers offer feedback on developing AI features and receive early access to them for assessment before their mass release. Oracle gains from this customer involvement because it allows us to use new AI features and quickly verify them more frequently. Clients can get more information about how AI can benefit their businesses and get the most out of their Oracle Cloud investment.
Future Innovations In AI And Oracle
To improve performance for its clients in all critical business functions (front- and back-office), Oracle will keep adding features to its SaaS portfolio through the business software they use daily. We are developing a fully functional AI and machine learning pipeline capability by developing, testing, validating, and integrating our AI solutions. This will enable our customers to realize substantial business benefits without having to make a dedicated investment of money or resources.
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