Oracle Cloud Infrastructure (OCI) AI Services is a collection of services 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, datasets, and data labels across services. OCI AI Services makes it possible for developers to easily add machine learning to apps without slowing down application development.
Learn how IT professionals can apply AI Services to inventory management, which enables automation of business workflows.
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.
OCI Anomaly Detection is an AI service that provides real-time and batch anomaly detection for univariate and multivariate time series data. Through a simple user interface, organizations can create and train models to detect anomalies and identify unusual behavior, changes in trends, outliers, and more.
OCI Forecasting is a fully managed service that delivers time-series forecasts through machine learning and statistical algorithms, without the need for data science expertise. Developers can quickly implement OCI Forecasting through REST APIs and SDKs to predict a variety of metrics including product demand, revenue, and resource requirements, all with confidence intervals and explainability to aid in making business decisions.
Use OCI Anomaly detection to ensure optimal operation of assets, while avoiding excess costs and minimizing operational disruptions in smart manufacturing.
Improve customer satisfaction and also reduce the cost of providing chat-based support with Oracle Digital Assistant’s skill bots.
SS Global, an innovative transportation logistics company, created an IoT application which monitors tire and vehicle conditions via a variety of sensors. They chose OCI Anomaly Detection to identify anomalies in vehicles, such as tire baldness or air leaks, which generate alerts to help prevent small issues from becoming big problems.
Pretrained, customizable models that can be used with and deployed to apps.
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, datasets, and labels, with consistent APIs.
Specialized algorithms built over 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.
Benjamin Arnulf, Senior Director, Product Strategy, Oracle Analytics
You can use Oracle Analytics Cloud and OCI Vision together for many industry use cases. For example, Children's Medical Research Institute can more quickly analyze microscope images and is significantly reducing their simulation time, increasing the speed at which they can drive progress. This blog describes some steps you can take to get the benefits of using Oracle Analytics Cloud and OCI Vision in a low-code/no-code setting.Read the complete post