Uploaded July 2026 | Updated September 2026, 3 weeks ago
Improve natural language results in Oracle FDI with clean data, business-friendly names, and the right indexing scope. Get dataset indexing and AI Assistant best practices in Oracle Fusion AI Data Platform at the resources linked below.
In this demo, you learn how to prepare a sales dataset in Oracle Fusion AI Data Platform for stronger natural language results and AI-assisted analysis. The walkthrough starts by uploading a dataset, then improving column names so they are clear and business-friendly. You see how to make quick formatting updates, and how to use the AI Assistant to generate column name recommendations that expand abbreviations while keeping names concise.
Next, you review dataset profiling details to confirm column data types and look for issues that can reduce natural language accuracy, such as ambiguous names or mismatched types. You also review data quality indicators, including missing values and outliers, and address high rates of not specified values. The tutorial shows how to standardize values, such as using a case expression to fill blanks in a state column, so analysis stays consistent.
Finally, you enable dataset indexing for the AI Assistant and home page search. You scope indexing to only the columns users need, deselecting fields such as order IDs or latitude and longitude. You then enrich indexing by adding practical synonyms, save the settings, and run indexing so users can ask more accurate questions and get more relevant insights from natural language features.
Explore self-paced short courses in the Oracle Analytics and AI Learning Hub: https://social.ora.cl/6008B6nsJG
Find training paths for Oracle Analytics and AI from beginner to advanced and expert: https://social.ora.cl/6002B6nsKj
Check out detailed instructions on how to change column types using AI Assistant: https://social.ora.cl/6007B6nszV
Read detailed instructions on how to rename columns using AI Assistant: https://social.ora.cl/6006B6nsMj
Take a course to learn how to explore data with the Oracle Analytics AI Assistant (for Consumers): https://social.ora.cl/6004B6nsOn
Start a course to learn how to visualize data with the Oracle Analytics AI Assistant (for Authors): https://social.ora.cl/6002B6nsOI
Like what you learned about Oracle Fusion Data Platform? Subscribe now https://social.ora.cl/60025k87j
Join us at Oracle AI World: https://social.ora.cl/60035eVvJ
Contact AIDP sales: https://social.ora.cl/6003FLUMT
Learn more about Oracle AIDP: https://social.ora.cl/60047h76Q
Join the Oracle AIDP Community: https://social.ora.cl/60087h7Bj
Follow us here:
LinkedIn: https://social.ora.cl/60035eXuF
X: https://social.ora.cl/6008abVgG
Instagram: https://social.ora.cl/60095eXDN
Facebook: https://social.ora.cl/60065enQp
Improve natural language results in Oracle FDI with clean data, business-friendly names, and the right indexing scope. Get dataset indexing and AI Assistant best practices in Oracle Fusion AI Data Platform at the resources linked below.
In this demo, you learn how to prepare a sales dataset in Oracle Fusion AI Data Platform for stronger natural language results and AI-assisted analysis. The walkthrough starts by uploading a dataset, then improving column names so they are clear and business-friendly. You see how to make quick formatting updates, and how to use the AI Assistant to generate column name recommendations that expand abbreviations while keeping names concise.
Next, you review dataset profiling details to confirm column data types and look for issues that can reduce natural language accuracy, such as ambiguous names or mismatched types. You also review data quality indicators, including missing values and outliers, and address high rates of not specified values. The tutorial shows how to standardize values, such as using a case expression to fill blanks in a state column, so analysis stays consistent.
Finally, you enable dataset indexing for the AI Assistant and home page search. You scope indexing to only the columns users need, deselecting fields such as order IDs or latitude and longitude. You then enrich indexing by adding practical synonyms, save the settings, and run indexing so users can ask more accurate questions and get more relevant insights from natural language features.
Explore self-paced short courses in the Oracle Analytics and AI Learning Hub: https://social.ora.cl/6008B6nsJG
Find training paths for Oracle Analytics and AI from beginner to advanced and expert: https://social.ora.cl/6002B6nsKj
Check out detailed instructions on how to change column types using AI Assistant: https://social.ora.cl/6007B6nszV
Read detailed instructions on how to rename columns using AI Assistant: https://social.ora.cl/6006B6nsMj
Take a course to learn how to explore data with the Oracle Analytics AI Assistant (for Consumers): https://social.ora.cl/6004B6nsOn
Start a course to learn how to visualize data with the Oracle Analytics AI Assistant (for Authors): https://social.ora.cl/6002B6nsOI
Like what you learned about Oracle Fusion Data Platform? Subscribe now https://social.ora.cl/60025k87j
Join us at Oracle AI World: https://social.ora.cl/60035eVvJ
Contact AIDP sales: https://social.ora.cl/6003FLUMT
Learn more about Oracle AIDP: https://social.ora.cl/60047h76Q
Join the Oracle AIDP Community: https://social.ora.cl/60087h7Bj
Follow us here:
LinkedIn: https://social.ora.cl/60035eXuF
X: https://social.ora.cl/6008abVgG
Instagram: https://social.ora.cl/60095eXDN
Facebook: https://social.ora.cl/60065enQp
