Oracle today announced the release of Oracle Cloud Infrastructure (OCI) AI services, a set of services that make it easier for developers to incorporate AI into their applications without the need for data science knowledge. Developers can choose between using out-of-the-box models that have been pre-trained on business-oriented data or custom training the services using their data with the new OCI AI services. The six new services assist developers with a variety of difficult tasks, including language, machine vision, and time-series forecasting.

AI is now required by businesses to speed innovation, analyze business circumstances, and provide innovative customer experiences. However, businesses usually face implementation challenges ranging from a lack of data science knowledge to difficulty training models on relevant business data, as well as getting their platform to perform in a live setting and breaking down data silos. As a result, businesses waste time and resources when they need AI that is consistent, responsive, and capable of delivering actionable outcomes in their business applications and operational settings.

Oracle’s AI services are pre-trained to deliver instant benefit for companies across a broad variety of use cases, based on Oracle’s experience as the top business application provided with the most comprehensive array of cloud apps. The following are some of the new fully managed AI services:

• OCI Language: To analyze unstructured language in documents, customer feedback conversations, support requests, and social media, does text analysis at scale. OCI Language reduces the requirement for machine learning knowledge by providing built-in pre-trained models that let developers include sentiment analysis, key extraction, text categorization, named entity identification, and more into their applications.
• OCI Speach: For real-time voice recognition, it uses pre-built models that have been trained on thousands of native and non-native language speakers. OCI voice makes it simple for developers to transform file-based audio data containing human speech into extremely accurate text transcriptions. It can also be used to deliver in-workflow closed captions, index content, and improve audio and video content analytics.
• OCI Vision: For image identification and document analysis applications, it provides pre-trained computer vision models. Users may also utilize their data to expand the models to various industry and customer-specific use cases including scene monitoring, defect detection, and document processing. OCI Vision may be used to identify visual irregularities in manufacturing, automate business procedures by extracting text from forms, and count products or shipments by tagging things in photos.
• OCI Anomaly Detection: Delivers business-specific anomaly detection models that discover key deviations early, allowing for quicker resolution and reduced downtime. Developers may simply incorporate anomaly detection models into business applications using OCI Anomaly Detection’s REST APIs and SDKs for numerous programming languages. It is based on the proprietary MSET2 algorithm, which is utilized in extremely sensitive scenarios such as nuclear reactor health monitoring across the world, and may be used for fraud detection, equipment breakdown prediction, and data collection from many devices to forecast failures.
• OCI Forecasting: Machine learning and statistical algorithms are used to provide time-series forecasts without the requirement for data science skills. OCI Forecasting enables developers to easily provide reliable projections for key business variables like product demand, revenue, and resource requirements. All of these estimates provide confidence intervals and explainability to aid developers in making the best business decisions possible.
• OCI Data Labeling: Users can use this tool to create labeled datasets that can be used to train AI models. Through user interfaces and public APIs, users may assemble data, generate and explore datasets, and apply labels to data entries. For a consistent model-building experience, the labeled data sets may be exported and utilized for model construction across all of Oracle’s AI and data science services, including OCI Vision and OCI Data Science.

Oracle AI is a set of artificial intelligence, machine learning, and data science products that includes Oracle Digital Assistant, as well as OCI Data Science and Oracle Database Machine Learning, which are used for constructing, maintaining, and deploying machine learning models. Oracle AI is used by companies all around the globe to help automate processes, generate innovation, and make more secure choices.

Quotes from Customers and Partners

CMRI (Children’s Medical Research Facility) is a leading medical and biological research institute in Australia, as well as a registered charity. “One of the essential components of our study in healing children’s cancer is identifying the influence of different therapies on tumors,” said Pablo Galaviz, senior data scientist and bioinformatician at Children’s Medical Research Institute. “We’re turning to OCI Vision and OCI Data Labeling services, as well as OCI Data Science, to assist us to define the impact of those therapies on cells.” First, we use OCI Data Labeling to label microscope pictures, and then we use OCI Vision to automate the process of recognizing different types of cells. In this approach, we make optimal use of Oracle’s platform to meet our research objectives.”

SS Global is a forward-thinking transportation firm that offers a comprehensive range of logistical solutions and services. “Our transportation customers collect data from cars, cargo, drivers, and other environmental circumstances like traffic,” Sunil Sharma, CEO of SS Global LLC, explained. “We needed a compelling anomaly detection solution since detecting abnormalities in real-time is critical to achieving the required service quality. We selected the OCI Anomaly Detection service because of its capacity to detect abnormalities in multivariate complex datasets, as well as Oracle’s strong investment in this AI service.”

Bosch Service Solutions is a major global provider of BPO services for complicated business processes and services. “As a supplier of contact center services, Bosch Service Solutions combines the OCI AI Services of Digital Assistant and Speech to allow our clients to have a natural dialogue with BETO, the Bosch chatbot,” said Kiria Fernandes, Bosch Service Solutions Brasil’s head of operations. “Our clients can engage with us in Portuguese using voice commands to drive desired activities and outcomes, expanding the user experience with conversational AI, simplifying interactions, and increasing productivity,” says OCI.

NVIDIA is a pioneer in the fields of fast computing and artificial intelligence. “Oracle AI Services and NVIDIA are providing the benefits and experience that customers have been looking for by delivering high-performance GPUs to customers in a fully managed fashion for notebook sessions, jobs, and model deployments,” said Ian Buck, senior vice president and general manager of accelerated computing at NVIDIA. “When OCI AI Services and OCI Data Science are combined with NVIDIA RAPIDS, data scientists and developers can accelerate end-to-end machine learning and data science pipelines on NVIDIA GPUs significantly quicker than they can on CPUs.”

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