Oracle AI is a family of accelerated infrastructure, artificial intelligence, and machine learning (ML) services. For AI training and inferencing, Oracle’s AI infrastructure offers ultralow latencies for standalone graphics processing units (GPUs) and clusters with thousands of nodes. Using AI services, developers can add prebuilt models to applications and operations. With ML services, data scientists can build, train, and deploy models with their favorite open source frameworks or benefit from the speed of in-database machine learning.
Building a machine learning model is an iterative process. Learn about every step, from data collection to model deployment and monitoring.
Discover how to develop a strategic investment model for scaling AI. This Gartner report outlines recommendations for the right AI investment mix and provides a formula for calculating ROI.
Discover the importance of a solid data strategy for AI. This IDC report explores current challenges and provides guidance on putting together a foundational data strategy for AI.
OCI rivals or betters the performance of dedicated, custom on-premises compute clusters while providing the elasticity and consumption-based costs of the cloud.
Oracle's AI services provide pretrained models that can be custom trained with an organization’s own data to improve model quality, making it easier for developers to adopt and use AI technology.
Oracle's machine learning services help data scientists collaboratively build, manage, and deploy machine learning models with favorite open source frameworks or benefit from the speed of in-database machine learning.
Oracle AI Apps help you work more efficiently and effectively through preintegrated, fully functional AI capabilities that surface outputs directly inside the software that supports your key business functions.
Train and inference AI models using OCI Data Science, bare metal instances, cluster networking based on RDMA, and NVIDIA GPUs.
Use OCI Language to automate text analysis at scale and understand unstructured text in documents, customer feedback interactions, or support tickets to improve customer experience and increase efficiency.
With Machine Learning in Oracle Database, data scientists can save time by moving the data to external systems for analysis and model building, scoring, and deployment.
Extract data from images and scanned documents, and then use OCI Vision’s pretrained models to conduct optical character recognition, image classification and object detection, document classification, anomaly detection, and more.
Oracle provides both the technology and the guidance you need to succeed at every step of your journey, from planning and adoption through to continuous innovation.
Oracle offers a free pricing tier for most AI services as well as US$300 in free credits with a trial account to try additional cloud services. Get the details and sign up for your free account.
And only pay compute and storage charges for OCI Data Science.
The best way to learn is to try it yourself. Use our tutorials and hands-on labs with your own Oracle Cloud tenancy, with no charge for many services.
Explore concepts in OCI Data Science to improve workflow efficiency and become more productive.Start this lab
In just a few steps, build a machine learning model to detect anomalies in production with OCI Anomaly Detection.Start this lab
Explore OCI Language and perform NLP tasks such as detecting languages, extracting key elements, classifying intent, and detecting sentiment in the text with a few simple steps.Start this lab
Explore how to work with multiple chatbots and digital assistants in Oracle Digital Assistant.Start this lab now
This Australian research institute embraces OCI Data Science to unlock flexibility and scalability, discover new insights, and perform analysis faster.
SS Global, an innovative transportation logistics company, created an IoT application that 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.
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