OCI: A cloud infrastructure platform for every workload
You’ll find everything you need here, whether you want to migrate your current business workloads or build new cloud-native applications and data platforms.
Solutions
Oracle Cloud Infrastructure
Oracle Cloud Infraestructure
Oracle Cloud Infrastructure has exactly what you need to take your technology infrastructure to the next level. You’ll find everything you need here, whether you want to migrate your current business workloads or build new cloud-native applications and data platforms.
Make multiple clouds work as one. Oracle offers direct database integration with Microsoft Azure as well as high-performance interconnection.
The only Cloud with a consistent set of services and consistent low prices across all commercial and government public cloud regions.
Reliable cloud solutions for almost any location, including Oracle Exadata Cloud@Customer, a highly optimized database service already deployed in more than 60 countries.
OCI Dedicated Region and Oracle Alloy are the only products that offer more than 100 cloud services at public cloud prices exclusively within your data centers.
Oracle Analytics
Imagine having access to valuable insights and analytics for all your data, whether it’s in the cloud, on-premises, or in a hybrid deployment.
With Oracle Analytics, you’ll be able to get the most out of your data, gain relevant insights, and make fast, accurate decisions.
The Oracle Analytics Platform is a cloud-native service that provides the capabilities needed for the entire analytics process, from data entry and modeling, through data preparation and enrichment, to visualization and collaboration, without compromise security and governance. Embedded machine learning and natural language processing technologies help increase productivity and create an analytics-driven culture in organizations. Start on-premises or in the cloud: Oracle Analytics supports a hybrid deployment strategy, offering flexible paths to the cloud.
Achieve full revenue potential by combining sales, marketing, and service data into a unified analytics solution.
A cloud-native, pre-built solution for Oracle Cloud ERP that helps finance, procurement, and project professionals discover underlying drivers of profitability, improve their use of working capital, and control business expenses.
Oracle HCM Analytics is a cloud-native solution pre-engineered for Oracle Cloud HCM that provides HR professionals with ready-to-use personnel information to improve decisions related to employee attrition and retention, talent acquisition and management, compensation, workforce diversity, and more.
Don’t leave data behind on the go. Stay connected and take action quickly from a mobile device. The new Oracle Analytics mobile app offers business leaders, analysts, and IT a one-stop hub to find, open, and interact with curated, high-quality data analytics. Get smart alerts and act immediately. Analyze any data, anytime, anywhere.
Machine Learning and Artificial Intelligence
Easily integrate AI into your applications and workloads with prebuilt decision and insight models and out-of-the-box chatbots. You can also build and train your own models with our data science services.
Oracle Digital Assistant is an Artificial Intelligence (AI) platform that allows you to create conversational experiences (Chatbots) that interact with business applications through text, chat, and voice interfaces. The Chatbot processes human conversations (written or spoken) extracting information from business applications and business data as if the user were communicating with a real person.
Our developers implement the Oracle Digital Assistant to create Chatbots that interact with their applications based on one or more skills (Skills). These skills can be based on those that have already been predefined by Oracle, or developed to measure, or based on an available template, so that when the user makes a query, the Digital Assistant sends the user’s request to the most appropriate skill for satisfy said request. Users connect with a Chatbot through channels like Microsoft Teams, Facebook, or through a chat bubble on your website, business app, or mobile app.
Our developers implement the Oracle Digital Assistant to create Chatbots that interact with their applications based on one or more skills (Skills). These skills can be based on those that have already been predefined by Oracle, or developed to measure, or based on an available template, so that when the user makes a query, the Digital Assistant sends the user’s request to the most appropriate skill for satisfy said request. Users connect with a Chatbot through channels like Microsoft Teams, Facebook, or through a chat bubble on your website, business app, or mobile app.
Oracle offers a complete portfolio of AI embedded in its cloud applications on best-in-class AI infrastructure and next-generation AI-enabled innovations.
Anomaly Detection is an AI service that provides real-time and batch anomaly detection for univariate and multivariate time series data. Using a simple user interface, organizations can build and train models to detect anomalies and identify unusual behavior, changing trends, outliers, and more.
Oracle Cloud Infrastructure (OCI) Data Science is a fully managed platform that enables teams of data scientists to build, train, deploy, and manage machine learning models using Python and open-source tools. It uses a JupyterLab-based environment to experiment and develop models. Extend model training with NVIDIA GPUs and distributed training. Bring models into production and keep them in proper condition with MLOps capabilities like automated pipelines, model deployments, and model control.
Oracle Database machine learning enables data exploration and preparation, as well as building machine learning models at scale using SQL, R, Python, REST, AutoML, and no-code interfaces. It includes more than 30 high-performance algorithms in the database that produce models for immediate use in applications. By keeping data in the database, organizations can simplify their overall architecture and maintain data synchronization and security. It enables data scientists and other data professionals to quickly build models by simplifying and automating key elements of the machine learning lifecycle.
OCI Language is a cloud-based AI service that enables sophisticated text analytics at scale. Use this service to create intelligent applications using REST APIs and SDKs to process unstructured text for sentiment analysis, entity recognition, translation, etc.
Oracle Cloud Infrastructure (OCI) Media Stream is a service that allows developers to process video and audio media in different formats for streaming on demand and execute batch operations through APIs and command line interface (CLI) tools. With OCI Media Flow, you can also enrich metadata to make video content more searchable in a content management system (CMS) and use AI tools to display video content and add capabilities, such as compatibility with subtitles in several languages.
Oracle Cloud Infrastructure (OCI)media chains is a service that helps developers package video content for streaming from OCI or through a content delivery network (CDN). Encrypts media content for secure delivery to devices, including smart TVs, mobile devices, computers, and game consoles. Developers can now take advantage of the scalability of OCI to deliver a full video experience without having to manage infrastructure.
OCI Voice is an artificial intelligence service that applies automatic speech recognition technology to transform audio-based content into text. Developers can easily make API calls to integrate OCI pretrained models Voice in your applications. OCI Voice It can be used for accurate, normalized-to-text, and time-stamped transcription via the console and REST APIs, as well as command-line interfaces or SDKs. You can also use OCI Voice in an OCI Data Science notebook session. with OCI Voice, you can filter words, get confidence scores for single words, full transcripts, and much more.
OCI Visión is an AI service to analyze images at scale thanks to deep learning. With the ready-made templates available, developers can easily add image and text recognition to their apps without any Machine Learning (ML) expertise. For industry-specific use cases, developers can automatically train custom vision models using their own data. These models can be used to detect visual anomalies in manufacturing, organize digital media assets, and tag items on images to count products or shipments.