I have observed one area where Fiddler AI can be improved. When explaining a product, it is essential to specify company policies and guardrails. Without providing company-specific criteria, the product may hallucinate, as it will compare international policy boards with our company's policies. Therefore, to achieve better results, we need this improvement. While support for Fiddler AI is quite good, documentation needs improvement. The tool's documentation should specifically mention the policies, security aspects, and all organization-specific documents alongside generic documents to provide more precise information.
Sr Data Engineer at a tech vendor with 5,001-10,000 employees
Real User
Top 10
Apr 29, 2026
I should not give too much data to any AI agent because when an agent reads and analyzes data itself, this is the wrong approach. Giving full data access to any organization is not a good practice. I need to analyze any tool first before proceeding. After that analysis, I can move forward.
There can be improvements in getting error logs more clearly and in a more organized way with AI analysis of what is actually wrong and what can be the solution or how to report that error if it is a bug. That AI analysis can be helpful. Fiddler AI is great to work with, but there can be improvements on the UI. Sometimes Fiddler AI's UI is a bit more complicated because the options sometimes feel confusing when you open the tabs and sub-tabs. This can be an improvement on the UI, and errors can be understood more clearly after an AI analysis of the logs. These are my suggestions for why I did not provide a 10.
Fiddler AI provides transparent and dependable AI solutions for monitoring and explaining machine learning models, focusing on accountability and fairness.Fiddler AI enhances trust in machine learning models with its unique capabilities. It offers explainability by dissecting model behavior, enabling users to gain insights and make informed decisions. It also supports model monitoring to ensure performance stability. Its platform serves as a control center to operationalize AI with...
I have observed one area where Fiddler AI can be improved. When explaining a product, it is essential to specify company policies and guardrails. Without providing company-specific criteria, the product may hallucinate, as it will compare international policy boards with our company's policies. Therefore, to achieve better results, we need this improvement. While support for Fiddler AI is quite good, documentation needs improvement. The tool's documentation should specifically mention the policies, security aspects, and all organization-specific documents alongside generic documents to provide more precise information.
I should not give too much data to any AI agent because when an agent reads and analyzes data itself, this is the wrong approach. Giving full data access to any organization is not a good practice. I need to analyze any tool first before proceeding. After that analysis, I can move forward.
I would not say Fiddler AI needs improvements. Whatever Fiddler AI offers is great to have.
There can be improvements in getting error logs more clearly and in a more organized way with AI analysis of what is actually wrong and what can be the solution or how to report that error if it is a bug. That AI analysis can be helpful. Fiddler AI is great to work with, but there can be improvements on the UI. Sometimes Fiddler AI's UI is a bit more complicated because the options sometimes feel confusing when you open the tabs and sub-tabs. This can be an improvement on the UI, and errors can be understood more clearly after an AI analysis of the logs. These are my suggestions for why I did not provide a 10.