This is a summary blog post with references to posts published under the Oracle Analytics Meets AI theme.
In this series, I am looking at how AI capabilities are becoming part of the Oracle Analytics experience: from asking questions in natural language, to using AI directly inside workbooks, and then extending the experience with more focused AI Agents.
This post explores how AI Assistant and AI Agents in Oracle Analytics Cloud (OAC) bring conversational analytics directly into the analytics experience. It shows how the AI Assistant supports natural-language exploration and visualization creation inside workbooks, while AI Agents extend this with dedicated instructions, business context, and knowledge documents. Together, they provide a path from quick conversational analysis to reusable, governed, domain-specific analytical assistants.
This post introduces Ask BI, Oracle Analytics Cloud’s conversational interface for exploring data using natural language. It shows how users can ask business questions, refine their analysis through follow-up prompts, and receive answers and visualizations based on governed OAC data. Ask BI makes analytics more accessible by allowing users to focus on the questions they want answered rather than on how to build the analysis.
This post documents troubleshooting ORA-12860 deadlocks encountered while running Oracle AI Database Private Agent Factory (OPAF) ingestion workloads on Autonomous Database. It follows the investigation from recurring ingestion failures through database parallelism behavior and the eventual mitigation using NOPARALLEL settings and a logon trigger. The post also covers practical lessons from testing different ADB configurations and stabilizing the OPAF ingestion environment.