Frankly speaking, the above two points are not There are new. connection and visualization in the industry. Tableur can do it, why should I use your Polymer?
So Polymer added the function of AI data analysis.
Of course, this feature must be based on the dashboard you made in advance. You take out the chart and it automatically generates key insights.
You can also ask it questions in natural language and it will help you give insights.
How do you evaluate its AI level? There are
You can try it yourself, it has a 7-day trial period.
My own experience with the trial is that the white label chatbot: how to turn your chatbot into a powerful brand ambassador with landbot level of AI data analysis is still far from that of experienced analysts. It can detect anomalies and find some patterns, but it does not understand the business. In other words, its analysis is still rigid, and the inability to combine it with the actual situation is an obstacle that prevents it from playing a deeper role.
However, if I have a large number of clients to serve and need to quickly metanation: the link between both roadmaps generate beautiful data views, I would still consider using this tool. Its highlight is not AI, but it performs well in data visualization!
Okay, today I will introduce this first tool, and I will introduce more data tools in the AI era in the future! Next time I will introduce an AI tool that is more general data analysis.
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Official account “Song Xing’s Digital View”.
Of course, these data cannot mean that PROYA has canada cell numbers done a better job in digital marketing, but at least it shows that PROYA does have its own way to create content marketing efficiency. Specifically, in terms of management and interest control, as well as control of the three stages of ASP, PROYA has demonstrated the high flexibility and effectiveness of a domestic brand.