Oracle announced the availability of Oracle Cloud Infrastructure (OCI) AI services, a collection of services that make it easier for developers to apply AI services to their applications without requiring data science expertise.
The new OCI AI services give developers the choice of leveraging out-of-the-box models that have been pretrained on business-oriented data or custom training the services based on their organisation’s own data.
The six new services help developers with a range of complex tasks from language to computer vision, and time-series forecasts.
Greg Pavlik, chief technology officer, Oracle Cloud Platform, said: “It’s essential for organizations to bridge the gap between the promise of AI and implementing AI that helps them achieve real results.”
“Oracle is best positioned to realize the value of AI through our industry-leading expertise in enterprise applications and enterprise data, our next-generation cloud infrastructure, and our deep commitment to building AI services and solutions.”
The new fully managed AI services include:
- OCI Language: Performs text analysis at scale to understand unstructured text in documents, customer feedback interactions, support tickets, and social media
- OCI Speech: Provides automatic speech recognition through prebuilt models trained on thousands of native and non-native language speakers for real-time speech recognition
- OCI Vision: Provides pretrained computer vision models for image recognition and document analysis tasks. It also enables users to extend the models to other industry and customer-specific use cases such as scene monitoring, defect detection, and document processing with their own data
- OCI Anomaly Detection: Delivers business-specific anomaly detection models that flag critical irregularities early, which enables faster resolution and less operational disruption
- OCI Forecasting: Delivers time-series forecasts through machine learning and statistical algorithms without the need for data science expertise
- OCI Data Labeling: Helps users build labeled datasets to train AI models. Users can assemble data, create and browse datasets, and apply labels to data records through user interfaces and public APIs. The labeled data sets can be exported and used for model development across many of Oracle’s AI and data science services, including OCI Vision and OCI Data Science, for a consistent model-building experience.
Oracle says that the new OCI AI services are at the core of Oracle AI, a collection of artificial intelligence, machine learning, and data science offerings that include Oracle Digital Assistant, as well as OCI Data Science and Oracle Database Machine Learning. All of these are used for building, managing, and deploying machine learning models.
