Oracle strengthens cloud infrastructure with a suite of AI tools


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Oracle has updated its cloud infrastructure service (OCI) to include a new suite of artificial intelligence (AI) services with six new tools that aim to facilitate and accelerate the application of AI for developers and data scientists, including machine learning techniques, to different business scenarios.

The new suite of AI services on OCI, Oracle’s public cloud platform used to develop and run Big data applications, is available now. It will compete with Amazon Web Services (AWS) SageMaker and Microsoft’s Azure Machine Learning Studio, designed for use by enterprise developers who may not have extensive data science expertise or knowledge.

Despite catching up with new OCI services, Oracle’s strategy seems logical, according to Constellation Research vice president and senior analyst Holger Mueller. “Companies that already use Oracle databases should benefit from the new services. It also means that Oracle has managed to keep the load of the Oracle database internally on Oracle and has shown that OCI manages the Oracle database better, ”said Mueller.

The new services allow developers to skip the hassle of installing, updating, and managing AI platforms, allowing them to focus on programming, Mueller noted.

AI to accelerate deployment

The new set of AI services are expected to reduce the time required to manage data and the time required to build and deploy applications, said Greg Pavlik, CTO at Oracle Cloud. The time it takes for companies to respond to various scenarios could make the difference to their survival in “volatile and uncertain times,” Pavlik said.

The new tools include AI-based language, speech, vision, anomaly detection, data tagging and forecasting services. The new OCI Language service is designed to enable developers to perform large-scale text analysis.

The service can understand unstructured text in documents, interactions with customer feedback, support tickets and social media, Pavlik said. The service also comes with pre-trained models that allow developers to deploy them out of the box and gain insight in the form of sentiment analysis, phrase detection, and entity recognition, among others. features.

Oracle’s competitors offer similar capabilities. AWS offers intelligent language services such as Comprehend, Lex, and Polly, while Microsoft offers a text analysis API for advanced analysis.

The Speech service, according to Oracle, comes with predefined templates capable of understanding speech in multiple languages ​​in real time. Pavlik said developers can apply the service to convert audio files containing human speech into text transcripts. The service can be used to provide closed captions in the workflow, index content, and improve analytics on audio and video content.

The AWS Transcribe and Translate service could be considered an equivalent of this service. Azure also offers a similar service.

The OCI Vision service aims to facilitate the training of visual models by developers. It comes with pre-trained models for image recognition and document analysis tasks, Pavlik said.

“It also allows users to extend the models to other industry and customer specific use cases such as scene monitoring, fault detection and document processing with their own data,” said Pavlik said, adding that the service can be used to detect visual anomalies in manufacturing, extract text from forms to automate business workflows, and tag items in images to count products or shipments.

The AWS Rekognition Service and Azure Computer Vision provide similar functionality.

Elimination of anomalies and data cleaning

Businesses spend a lot of time finding issues with their data and AI models. In order to reduce the time taken to detect such anomalies, the new AI service suite includes the OCI Anomaly Detection service, which can report critical irregularities early, resulting in faster resolution times.

“OCI Anomaly Detection, based on the MSET2 algorithm, provides REST APIs and SDKs for multiple programming languages, which developers can use to easily integrate anomaly detection models into business applications, ”Pavlik said. He added that the tool can be used to detect fraud, predict machine failures and record data from multiple sources.

Anomaly detection can be seen as a key aspect of AI services and it should be offered by all vendors, Constellation’s Mueller said. “This is even more relevant for Oracle, given the massive amounts of transactional data stored in its databases. And be able to detect an anomaly, then report it in analytic – or even solving it with actions via AI is huge for businesses to go faster and become more agile, ”Mueller said.

As part of the new suite, Oracle has also released the OCI Forecasting service, which automatically provides time series forecasts based on predefined machine learning models without the need to code, Pavlik said. It allows developers to create forecasts for critical business metrics like product demand and revenue.

Oracle also announced OCI Data Labeling, which helps users create labeled data sets to easily train AI models. According to Pavlik, the new service will allow developers to assemble data, create and browse datasets, and apply labels to them through user or public interfaces. Apis.

“The tagged datasets can be exported and used for model development in many of Oracle’s AI and data science services, including OCI Vision and OCI Data Science, for a cohesive model building experience.” , Pavlik said.

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