I have been using Fiddler AI in multiple ways for approximately two to three years. Fiddler and Fiddler AI serve different purposes. I utilize Fiddler for creating Power BI reports, and it is very good visually. There are multiple options for color choices and data design, allowing me to explain data effectively. Right now, I utilize Fiddler AI for machine learning purposes. In Power BI projects, I use it for data enhancement and data quality checking for schema validation. I use it for data analysis as well. I connect it directly to my reports through Fiddler API and write Python code for analysis. I integrate this into my Power BI projects. All features in Fiddler AI are good, offering excellent connectivity options. The REST API is good, supporting multiple languages with connected speech and responsive answers for any AI tools. Data performance is very good, and it is very easy to use. From a learning perspective, it provides responsive answers for data manipulation and other utilization needs. To improve things, I need to connect it for handling LLM prompts and data management. This is mainly for understanding queries better. Snowflake Cortex is similar, but it does not give very good responses and sometimes provides poor experiences. Fiddler AI provides a better way.
