AI services are a collection of offerings, including generative AI, with prebuilt machine learning models that make it easier for developers to apply AI to applications and business operations. The models can be custom trained for more accurate business results. Teams within an organization can reuse the models, data sets, and data labels across services. The services let developers easily add machine learning to apps without slowing application development.
Unlock the power of generative AI models equipped with advanced language comprehension for building the next generation of enterprise applications. Oracle Cloud Infrastructure (OCI) Generative AI is a fully managed service available via API to seamlessly integrate these versatile language models into a wide range of use cases, including writing assistance, summarization, and chat.
The OCI Generative AI Agents service provides an agent type that combines the power of large language models (LLMs) and retrieval-augmented generation (RAG) with enterprise data, making it possible for users to easily query diverse enterprise data sources. Users can access and understand up-to-date information through a chat interface and in the future direct the agent to take actions based on findings.
Digital assistants are virtual devices that help users accomplish tasks through natural language conversations, without having to manage various apps and web sites. Each digital assistant contains a collection of specialized bots that focus on specific types of tasks, such as tracking inventory, submitting time cards, creating expense reports, and checking sales forecast.
When a user engages with the assistant, it evaluates the user’s input and routes the conversation to and from the appropriate bots. Users can access Oracle Digital Assistant through a variety of channels, such as Facebook Messenger, Slack, and mobile apps.
OCI Language is a cloud-based AI service for performing sophisticated text analysis at scale. Use this service to build intelligent applications by leveraging REST APIs and SDKs to process unstructured text for sentiment analysis, entity recognition, translation, and more.
OCI Speech is an AI service that applies automatic speech recognition technology to transform audio-based content to text. Developers can easily make API calls to integrate OCI Speech’s pretrained models into their applications. OCI Speech can be used for accurate, text-normalized, time-stamped transcription via the console and REST APIs as well as CLIs or SDKs. You can also use OCI Speech in an OCI Data Science notebook session. With OCI Speech, you can filter profanities, get confidence scores for both single words and complete transcriptions, and more.
OCI Vision is an AI service for performing deep-learning–based image analysis at scale. With prebuilt models available out of the box, developers can easily build image recognition and text recognition into their applications without machine learning (ML) expertise. For industry-specific use cases, developers can automatically train custom vision models with their own data. These models can be used to detect visual anomalies in manufacturing, organize digital media assets, and tag items in images to count products or shipments.
OCI Document Understanding is an AI service that enables developers to extract text, tables, and other key data from document files through APIs and command line interface tools. With OCI Document Understanding, you can automate tedious business processing tasks with prebuilt AI models and customize document extraction to fit your industry-specific needs.
Pretrained, customizable models can be used with apps and deployed to them.
Train models on the organization’s application data. Models that understand business context deliver more accurate results.
One usage and publishing experience for models, features, data sets, and labels, with consistent APIs.
Specialized algorithms built with more than 20 years of data science have been proven in many safety-critical industries.
Expect enterprise-grade AI, architected for security and tested in critical sectors, including government, finance, and nuclear energy.
Greg Pavlik, Senior Vice President, Oracle Cloud Infrastructure
The advent of powerful cloud infrastructures combined with advanced GPUs has enabled us to push the boundaries of technology with AI. Over the last year, generative AI models trained and retrained on huge amounts of data from the internet have astounded us with their capabilities. Now, we’re watching generative AI create text, generate SQL queries, write code, create artwork and assist in product support—all of which seemed impossible just a few years ago. These feats have captured the imagination of enterprise executives who see immense potential to improve productivity and revenue with generative AI.Read the complete post