Data tools in the AI era: Julius replacing data scientists
I originally wanted to try Julius just for the sake of the article, but However it I didn’t expect that I would be willing to pay for it! (This tool has nothing to do with me at the moment. When I wrote this article, their company definitely didn’t know that a Chinese person actually introduced them in Chinese. introducing!)
It is also a startup AI However it
Compared with Polymer, which I introduced last time, it understanding the idea and analyzing the requirements is more inclined to be your intelligent data scientist assistant. In other words, its main function is not as a dedicated tool for digital marketing and operations like Polymer, but as a general data analysis tool.
As you can see from the screenshot below, its main working scenario is data processing.
When I first came into contact with this tool, I had no advanced water treatment and reuse preconceived position on it. To be honest, I have always been skeptical about the ability of AI to process data. For a while, most AI tools could not accurately tell which was larger, 3.8 or 3.18. Although some of them gave the right answer, the reasons given were ridiculous.
So, I tried this tool with a little bit of distrust. To be honest, I have this distrust towards all AI data tools.
I think they can’t
Even do a simple size comparison correctly, so how can the of germany cell number the do data analysis well! But unexpectedly, it was much better than I thought.
First of all, if you are used to communicating with AI in a conversational way, then using Julius feels like communicating with a colleague who is responsible for processing data.