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Articles by Ravi Bhuma
Embedding the Oracle Analytics Cloud AI Assistant into a Custom HTML Page
Oracle Analytics Cloud provides an AI Assistant that enables users to ask natural language questions and generate insights. It’s built using a generative AI large language model (LLM). While the AI Assistant is commonly accessed within the Oracle Analytics Cloud, it can also be embedded directly into custom HTML page using the supported embedding framework.
The Oracle Analytics Cloud AI Ecosystem: Shaping the Future of Enterprise Analytics
Oracle Analytics Cloud empowers organizations with modern, AI-powered analytics — delivering dynamic visualizations, interactive dashboards, and real-time insights at enterprise scale. Building on this foundation, Oracle Analytics Cloud introduces the Agentic User Experience, redefining analytics as a conversational, intelligent, and always-available decision platform.
Oracle Analytics Cloud MCP Server: Bridging Enterprise Analytics and AI
Oracle Analytics Cloud (OAC) empowers organizations with modern, AI-powered analytics — delivering dynamic visualizations, interactive dashboards, and real-time insights that drive confident, data-informed decisions across the enterprise. Built on Oracle’s secure and scalable cloud infrastructure, OAC unifies data preparation, semantic modeling, machine learning, and governed self-service analytics into one platform.
Configuring a Vanity URL for Oracle Analytics Cloud in Oracle Fusion Data Intelligence (FDI)
You can now configure a Vanity URL for your Oracle Analytics Cloud (OAC) instance within Oracle Fusion Data Intelligence (FDI) — enabling a branded, secure, and user-friendly way to access your analytics environment. When using OAC as part of your FDI solution, you typically access your analytics environment through a default Oracle Cloud–generated URL such as: https://<instance>.analytics.ocp.oraclecloud.com/ui/dv.
Building Oracle Machine Learning Models with OML4R and Deploying in Oracle Analytics Cloud
Oracle Analytics Cloud (OAC) offers various approaches to integrate machine learning models, ensuring flexibility and efficiency in your data analysis processes. The three primary approaches are: OAC Predictive Models: Train, test, and apply models in OAC. Oracle Machine Learning Models: Train and test models in the Oracle database and apply them in OAC. OCI Machine Learning Models: Use prebuilt models and apply them in OAC.
Evaluate network perimeters impact on Oracle Analytics Cloud migrations
Text Size 100%: Introduction When you migrate Oracle Analytics Cloud (OAC) using snapshots, data files aren't migrated to the target OAC instance in a different OCI region. In such cases, using Data Migration Utility to download the data files and restore them in the target OAC instance is recommended. Data Migration Utility fails when network perimeters are defined in Oracle Identity Cloud Service (IDCS) or IAM Identity Domain.
Troubleshooting Connectivity Issues Between Oracle Analytics Cloud and On-Premises Data Sources: Unraveling PMTUD Challenges
When you have connection issues between Oracle Analytics Cloud (OAC) and an on-premises database using Site-to-Site VPN or FastConnect, you're likely to experience connection failures or hangs. In this blog, you'll learn about a common culprit behind such issues: Path Maximum Transmission Unit Discovery (PMTUD) problems. The following diagram illustrates an example with two hosts having a larger MTU than some intermediary network link between them not directly connected to either of them.
Configuring Private Simple Mail Transfer Protocol Server in Oracle Analytics Cloud using OCI Load Balancers
Oracle Analytics Cloud (OAC) is a comprehensive analytics platform, empowering organizations to probe any data, anywhere, on any device. From OAC, you can connect to your organization’s mail server so that analysts can email their reports and data visualizations directly from Oracle Analytics.
Disaster Recovery for Oracle Analytics Server on Oracle Cloud Using RCU Schemas and Block Volume Replication
A previous blog showed how to use snapshot replication to implement disaster recovery (DR) for Oracle Analytics Server (OAS) on Oracle Cloud Infrastructure (OCI). This blog describes how to configure OAS disaster recovery on OCI using Database Cloud Service (DBCS) Repository Creation Utility (RCU) schema replication, alongside other noteworthy features in OCI, such as block volume replication. This diagram shows OAS disaster recovery (DR) architecture and configuration across multiple OCI regions.
Demystifying Machine Learning Algorithms in Oracle Analytics: a Guide to Choosing the Right Approach
Oracle Analytics Cloud (OAC) and Oracle Analytics Server (OAS) offer a rich repertoire of machine learning algorithms that can be harnessed to reveal patterns, make predictions, and gain insights from your data. In the vast world of data analytics, machine learning stands out as a beacon of hope for making sense of the immense volumes of data that are collected every day. This blog delves into the intricacies of these algorithms and describes when and how to use them effectively.
Building Oracle Machine Learning Models with OML4Py and Deploying in Oracle Analytics Cloud
Oracle Analytics Cloud (OAC) offers various approaches to integrate machine learning models, ensuring flexibility and efficiency in your data analysis processes. The three primary approaches are: Oracle Analytics Cloud Predictive Models: Train, test, and apply models in OAC. Oracle Machine Learning Models: Train and test models in the database and apply them in OAC. OCI Machine Learning Models: Use prebuilt models and apply them in OAC. Each approach offers unique benefits and tools.
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