Exploring the Power of Oracle Analytics AI Assistant
- Ambs
- Oct 11, 2025
- 1 min read
Updated: 3 hours ago

In August 2024, when I got early access to the AI Assistant feature - 2 months before its official release, I remember having this childlike excitement for exploring it out. More than just exploration, we also were privileged to demonstrate it in the Oracle Cloud World 2024; as part of an analytic solution preview we had built for K12 schools.
Oracle Analytics AI Assistant - is a game changer for those of us looking to get the most out of our data insights. If you’ve ever wished for a smarter, more intuitive way to interact with your data layer, this post is for you!
This is a cover post for the articles I have written on this topic in my organisation blog.
Check out the first blog for the details around the 'hands-on exploration', of the feature configuration and capabilities.
The second article is a more detailed deep dive, wherein I tried to go beyond the basics of configuration - to explore the core principles that make the Oracle Analytics AI Assistant genuinely intelligent. You will learn how the AI interprets questions 'backwards' from context to generating SQLs. Discover practical optimisation strategies like metadata indexing, synonyms, descriptive field names, along with context enrichment, that can enhance accuracy and performance. Don't miss the pro tips for preparing your data, from handling nulls to smart binning - so the AI Assistant can deliver precise, actionable responses every time.
Check out the detailed articles and do let me know your thoughts or any questions that you may have.
Happy exploring!




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